Method, system, model of a user, model of a user's partner, avatar, user device, computer program product, and a neural network to support the stimulation of a user

Abstract

The invention relates to a method (V, V1, V2), system, model (MN) of a user (N), model (MP) of a partner (P) of the user (N), an avatar (AVN, AVP), user device (AGN, AGN', AGP, AGP'), a computer program product, and a neural network (DNN1, DNN2, DNNZ) for supporting stimulation (ISTSN, STN) of a user (N) and / or the partner (P) of the user (N). In the (first) method (V, V1), a stimulating device (SVN) for stimulating (STN, STP) the user (N) and / or the partner (P) of the user (N) is operated depending on a neural network (DNN1, DNN2, DNNZ) (S40, S50). In the (second) procedure (V, V2) the training (S20), in particular retraining (S20'), of a neural network (DNN1, DNN2, DNNZ) to operate (S40, S50) the stimulating device (SVN, SVP) to stimulate (STN, STP) a user (N) and / or the partner (P) of the user (N) is carried out.

Description

[0001] The invention relates to a method, a system, a model (information technology data model, statistical, simulation model, AI model) of a user, a model of a user's partner, an avatar, for supporting stimulation of a user. Furthermore, the invention relates to a neural network, a user device, and a computer program product. The user device and the neural network can be configured to execute the method and / or be configured as part of the device or system.

[0002] Massage devices and wellness devices are known from the state of the art that can be controlled or adjusted by the user via an app.

[0003] The object of the invention is to demonstrate an improved method, system, model of a user, a model of a user's partner, an avatar, a user device, a computer program product, and a neural network for supporting stimulation of a user and / or the user's partner. In particular, the object of the invention includes improved stimulation (e.g., as therapy, massage, relaxation, or sexual stimulation, etc.) with improved effects, particularly for approaching and / or achieving sexual climax, satisfaction, and / or positive effects on health and / or psyche, wellness (e.g., so-called "sexual wellbeing"), therapy, and effective training of improved perceptions and / or abilities by the user or the user's partner.In particular, the object of the invention includes the improved design, training, and operation of corresponding neural networks, models, and / or avatars. Furthermore, the object of the invention may include the creation of (objectively and / or subjectively) improved experiences.

[0004] The problem is solved by the features of each of the independent patent claims. Advantageous embodiments are characterized in the subclaims. It should be noted that additional features of a patent claim dependent on an independent patent claim, without the features of the independent patent claim or only in combination with a subset of the features of the independent patent claim, can form a separate invention independent of the combination of all features of the independent patent claim, which can be made the subject of an independent claim, a divisional application, or a subsequent application. This applies equally to technical teachings described in the description, which can form an invention independent of the features of the independent patent claims.

[0005] According to a first aspect, a (first) method for supporting the stimulation of a user is described. In the (first) method, a stimulating device for stimulating the user and / or the user's partner is operated depending on a neural network.

[0006] This is preferably a neural network trained, in particular retrained, according to one or more features described in this document. Particularly preferably, it is a neural network that is specifically trained, in particular retrained (at least partially, predominantly, or in a significant respect), and / or optimized for operating a stimulating device (at least partially, predominantly, or in a significant respect).

[0007] Within the scope of this document, stimulation may be fully or partially automatic and / or assisted (caused by the stimulating device), in particular enhanced, attenuated, modified, supplemented, stimulated, and / or adapted (e.g., optimized to a certain extent). For example, it may involve stimulation or use of the stimulating device with or without the cooperation of a partner or the user's partner.

[0008] The (optional) cooperation of a partner of the user can be direct (e.g. carried out by a presence in the vicinity of the user), remote (e.g. from a distance and / or remotely) or indirect (e.g. not carried out by direct actions) cooperation and / or cooperation effected by means of telepresence (e.g. teleoperated or with elements of perception and / or feedback) and / or completely or partially virtual cooperation.

[0009] Alternatively or additionally, it may be a stimulation that is effected, modified, in particular adapted, supplemented depending on the data or parameters (e.g. from the past and / or current) concerning the user and / or one or more of the user's partners.

[0010] For example, the stimulation support can be carried out in such a way that psychosomatic effects, deviations and / or illnesses (e.g., when striving for the goal, intermediate goals or target values) are taken into account and / or an improvement and / or healing is sought, in particular achieved and / or maintained. For example, at least one neural network is set up, trained, in particular retrained, and / or operated to take one or more (specific, individual) psychosomatic effects, deviations and / or illnesses into account, in particular to generate initial data (e.g., when striving for the goal, intermediate goals or target values) that lead to an improvement and / or healing.

[0011] In particular, supporting the stimulation involves bringing about the stimulation (this can also occur without the presence of stimulation or stimulation carried out by the user). Preferably, it involves supporting or bringing about the stimulation of the user by the user herself and / or by the user's partner, with the cooperation of the user's partner or taking into account the data or parameters relating to the user's partner and / or the stimulation of the user's partner by the user, with the cooperation of the user's partner or taking into account the data or parameters relating to the user's partner. Alternatively or additionally, supporting the stimulation can include or be a change, in particular adaptation and / or supplementation of one or more effects of the stimulation.

[0012] The stimulation may include or be: - physical, especially physical, stimulation (e.g. through mechanical influences or stimuli); and / or - electrical stimulation (e.g. through electrical influences or stimuli and / or information delivered to the body or nervous system); and / or - Stimulation by means of a (e.g. variable, interactively controlled electromagnetic) field; and / or - Stimulation by means of chemical substances (e.g. medication, changing the concentration of certain substances) and / or scents (e.g. selecting and / or combining scents, for example by means of a scent organ); and / or - psychological stimulation; and / or - emotional stimulation; and / or - cognitive stimulation (e.g. causing, changing or supplementing mental images, associations, conditioning, anchors, etc. Handling memories or supporting cognitive processes in connection with the stimulation or effect of the stimulation).

[0013] The stimulation preferably comprises at least two or three, four or five (e.g., as described above) types of (e.g., physical and / or non-physical) stimulation. For example, at least two or three, four physical stimulations can be combined with one another and / or with two or three, four non-physical stimulations. These can be effected at least partially simultaneously, alternately or with a temporal overlap (e.g., in a sequence) and / or in a complementary or supportive manner to one another. The at least one neural network or the output data (e.g., one or more output sequences) can be multimodal.

[0014] For example, the stimulation described in this document (e.g., to be supported and / or effected) may include or be physical stimulation (particularly to be understood as body-related) and / or stimulation with physical effects (particularly to be understood as body-related) (e.g., manifesting itself essentially in physiological, sympathetic, parasympathetic, endocrine, or vascular processes). The term "physical stimulation" can be understood in the context of this document as, in particular, selective and / or variable, stimulation of one or more areas of the surface or volume of the body.

[0015] The one or more areas of the surface or volume areas of the body can each include or be: - Areas of the surface of the body (e.g. one or more layers of epidermis or volume areas of tissue lying below them at a depth of a few millimetres); and / or - Areas of the mucous membrane (a multi-layered non-keratinized and / or partially (slightly) keratinized, (hairless) squamous or columnar epithelium), particularly on the surface of the body and / or within body orifices; and / or - erogenous zones or areas of erogenous zones; and / or - volume areas of the body lying below such (above-mentioned) areas of the epidermis or mucous membrane or erogenous zones at a depth of a few millimetres or centimetres; and / or - Muscles, in particular (individual, specific) muscle strands and / or sphincters; and / or - blood vessels, in particular for the parts of the vascular system related to the stimulation or its effect, in particular arteries involved in vasodilation; and / or - parts or volume areas of organs, especially glands; and / or - Nerve pathways, nerve plexuses, particularly sections and / or ends of nerve pathways, and / or meridians and / or acupuncture points and / or acupressure points and / or trigger points. These terms and their corresponding contexts are to be understood in particular according to medical science, such as Traditional Chinese Medicine (TCM) or Penzel reflexology (RZP). and / or - Areas of the brain that are particularly associated or assigned with the perception and / or control of certain processes (e.g. according to science and / or the determined, in particular connections or reactions to certain stimuli, control of certain processes).

[0016] These may be areas of the surface or volume areas of the body that are (significantly, particularly strongly) related to certain (body-related or physical) processes, stimulation or the effect of the stimulation described in this document.

[0017] For the purposes of this document, the characteristics of physical stimulation listed above are abbreviated to "stimulation of one or more areas of the surface or volume areas" of the body. This means that, for the purposes of this document, the abbreviation "areas of the surface or volume areas" is to be understood in particular as one or more entries or a combination of entries from the list described above.

[0018] The support, in particular the effecting, changing and / or supplementing of the stimulation can preferably relate to a combination and / or sequence of (e.g. predominantly selectively or differentiatedly effected) stimuli and / or effects on one or more of the above-listed areas of the surfaces or volume areas and / or one or more processes (described in this document). The physical stimulation preferably comprises a (specific and / or optimized) combination and / or sequence of stimuli and / or effects on different areas of the surfaces or volume areas of the body or areas belonging to different subsystems or systems of the body. The support of the stimulation can include or be a regulating stimulation or striving for a specific or determinable relationship between (first and / or second) parameters or parameters of various processes and / or striving for specific effects.

[0019] The stimulation support (respectively with respect to the user or the user's partner) can be carried out using multiple parts of the device (e.g., operable in a physical and / or information technology connection). In this case, multiple stimuli or effects can be triggered, modified, or supplemented unilaterally, mutually, or multilaterally with respect to different areas of the body's surfaces or volumes, in particular to effect, modify, or supplement certain physical processes or effects.

[0020] Alternatively or additionally, the stimulation may (primarily or predominantly) focus on one or more: - Systems, in particular to be understood as subsystems (e.g. limbic, endocrine, sympathetic or parasympathetic systems) of the body or processes controlled by them; and / or - Perception channels (e.g. visual, auditory, haptic or tactile, olfactory, gustatory perception); and / or - physical and / or non-physical processes (e.g. those affected by the stimulation or those influencing the effect of the simulation); of the user and / or the user’s partner.

[0021] Preferably, the stimulation is or includes: - sexual stimulation (particularly to be understood as erotic stimulation or stimulation causing or supporting an erotic effect); and / or - stimulation that changes, in particular adapts (e.g. increases, decreases or regulates) sexual stimulation (e.g. by a partner of the user or by the user herself); and / or - stimulation to support or achieve a sexual or erotic effect and / or a physical and / or non-physical effect; and / or - an imitation of sexual stimulation or an effect, perception or illusion of sexual stimulation.

[0022] The term sexual stimulation can be understood to mean all variants of intimate or erotic stimulation or a combination of variants thereof. For example, sexual stimulation includes the stimulation of one or more areas of the surface or volume of the user's body. The sexual stimulation or the sexual part of the stimulation and / or the effect of the sexual stimulation can preferably be supported, in particular caused, modified or supplemented by one or more other types of stimulation described in this document. In the context of this document, the term eroticism is understood to mean intentions or processes (e.g. in a female or male body) that occur primarily or essentially during sexual intercourse or intimate stimulation or in a substantially sexually oriented context or perception.

[0023] The device can therefore be designed or the neural network can be set up, trained or retrained to support (i.e. to cause, change or supplement) an (optionally existing, real) stimulation by a (specific and / or optimized) combination or sequence of corresponding influences or stimuli or to be caused (without real stimulation or without a partner or without a real partner).

[0024] The user's partner may be a sexual or intimate partner of the user. The partner may be a fully or partially real and / or fully or partially virtual partner, in particular a partner created and / or imitated and / or represented by a model (e.g., an AI model) and / or avatar (e.g., an avatar operated by the AI ​​model) (as further described later in this document).

[0025] The stimulation (e.g. at least partially physical, close to the body) and / or the effect of the stimulation, in particular the physical stimulation and / or any other stimulation not or not directly generated by the device (e.g. generated by the user's partner or caused directly or indirectly) can be supported, in particular caused, varied, changed (e.g. adapted with regard to their effect) and / or supplemented by means of one or more media outputs, avatars and / or non-physical, in particular psychological, emotional and / or cognitive stimulations (e.g. as described further in the course of this document).

[0026] This particularly preferably concerns sexual stimulation. Sexual stimulation can also include, in particular, stimulation prior to sexual stimulation, flirting, creating a suitable mood (non-physical and / or physical arousal), an agreement on sexual preferences, intentions, actions, especially specific sexual acts (e.g., actions or interactions), etc.

[0027] In particular, the stimulating device is designed and / or the at least one neural network is trained, in particular retrained, to change (e.g. to amplify, weaken, adapt, in particular to optimize and / or individualize) the effect of one or more stimulations (e.g. generated with the device and / or not generated with the device, e.g. by the partner and / or user themselves) and / or to strive for, in particular to achieve and / or maintain, the goal, in particular a target value characterizing the goal (e.g. in relation to the effect and / or state to be achieved and / or maintained).

[0028] Preferably, at least one stimulation comprises stimulation within the body or within the tissue of the body (e.g., of the user or the user's partner). This stimulation can be directed (preferably entirely or predominantly selectively and / or specifically) with regard to the influences or stimuli and / or effects (predominantly) at one or more areas of surfaces or volume regions of the body described in this document. At least a (significant) part of the stimulation and / or the effects of the stimulation (e.g., certain processes and / or subjectively perceived sensations) can therefore be supported, effected, modified, or supplemented within the body or within the tissue of the body of the user or the user's partner.

[0029] One or more additional parts of the stimulation may include or be, for example, the output of images, sounds, scents, or haptic stimuli (e.g., using the media outputs and / or avatars described in this document), particularly those generated by the at least one neural network. This can (as a result) result in multimodal stimulation.

[0030] The effect of supporting stimulation can be an effect to be achieved or optimized in the user. This refers in particular to a resulting effect, which includes, in particular, a stimulation to be supported (directly or indirectly or remotely) physically, in particular physically, physiologically, biochemically, neuronally, etc., or non-physically, in particular emotionally, psychologically, and / or cognitively (e.g., of the real partner or the user herself), on the one hand, and a supporting stimulation achieved with the device, on the other. The stimulation can be achieved: - with a (more or less active or proportional) participation of the partner or the partner's avatar; and / or - with a (more or less active or proportional) participation of the user herself.

[0031] The stimulation and / or the effect of the stimulation can: - (if desired or to the desired extent) be psychologically associated with the partner and / or the partner's avatar or at least partially correspond to a specification and / or feedback, the nature or the will of the partner; and / or - be carried out (in an improved, desired, in particular optimized) manner adapted to the user and / or the user's partner and / or depending on the user's specifications and / or feedback.

[0032] The physical stimulation (e.g. the physical part of the stimulation) is preferably a stimulation that leads to a significant, in particular substantial, effect and / or an effect that is typically not achievable (sufficiently or to the same extent) without physical stimulation. The effect of the stimulation is in particular an effect that causes or significantly, in particular substantially, changes one or more physical processes (e.g. limbic, endocrine, sympathetic, parasympathetic, vascular or those specific to sports, massage, therapy and / or eroticism) and / or patterns of parameters or effects that are typical for such processes. This can be an effect (of the stimulation or the resulting effect) that is typically not achievable sufficiently or substantially without physical stimulation or (e.g. typical, real, physically practiced) sports, massage, therapy and / or eroticism.can be achieved in a comparably effective or expedient manner.

[0033] For example, supporting the stimulation may include or be the effecting, changing or supplementing of one or more stimulations (preferably different or of different types of influences or stimuli), whereby one or more (e.g., first described in this document) physical processes of the user; dependent on one or more (e.g., second described in this document) physical processes of the user's partner; caused, changed, in particular adapted or regulated, supplemented, and / or at least partially coordinated with them.

[0034] For example, the at least one neural network is set up, trained and / or retrained to support the stimulation (by means of the device), whereby the effecting, changing or supplementing of one or more stimulations takes place in such a way that one or more (e.g., first described in this document) physical processes of the user are effected, changed, supplemented and / or at least partially coordinated with one or more (e.g., second described in this document) physical processes of the user's partner. This can be achieved by means of the stimulation, in particular by means of one or more stimulations effected depending on the initial data (e.g., physical, in particular physical, physiological, pharmaceutical, biochemical, neurological, and / or non-physical, in particular emotional, psychological and / or cognitive effects) and / or (e.g.,Priming and / or anchoring and / or conditioning (created by stimulation and / or activatable by stimulation) are carried out.

[0035] For example, supporting the stimulation can include or be causing (e.g. triggering), changing and / or supplementing one or more first processes of the user and / or second processes of the user's partner. Causing (e.g. triggering), changing and / or supplementing the processes can include or be activating the conditioning (e.g. using a trained anchor) (e.g. triggered by the media output or by the avatar). For example, the user and / or the user's partner can be supported in creating certain anchors and / or conditioning relating to certain (first and / or second) physical processes and / or in causing, promoting, controlling or perceiving their own respective physical processes by means of the anchors and / or conditioning (e.g. by triggering or activating the relevant anchors or conditionings using the device).For example, these can be specific anchors or conditionings or references to specific (e.g., first and / or second) processes that can be selected by the user or the user's partner. This can achieve a lasting effect or goal that extends beyond the use of the device, or can be trained in the user or the user's partner.

[0036] For example, the (first and / or second) operations may include or concern: - Exercise of muscles, in particular with certain exercise parameters or exercise patterns (e.g. from tension and / or relaxation); and / or - Production or secretion of one or more endogenous substances (e.g. hormones, in particular those explicitly described in this document, pheromones and / or messenger substances and / or nitric oxide (NO)); and / or - one or more physical processes, particularly those affecting the gynaecological or urological systems; and / or - one or more physical and / or non-physical processes that control or significantly influence gynecological or urological processes in particular; and / or - arousal, particularly in relation to certain phases of arousal; and / or - endocrine processes or (male or female) ejaculation and / or fertilization.

[0037] These may involve processes affecting the limbic, vegetative, sympathetic, parasympathetic and / or vascular systems of the user's or the user's partner's body.

[0038] The term non-physical processes refers in particular to emotional, psychological and / or cognitive processes or processes that take place on one or more levels that are superior to the physical level or emergent to it (e.g. psyche or mind).

[0039] For example, the method comprises (machine) learning and / or taking into account the (respectively) specific (first and / or second) physical and / or non-physical (e.g., emotional, psychological, and / or cognitive) processes and / or relationships between one or more such processes (e.g., between the multiple parameters characterizing one or more (respective) processes) with respect to the user and / or the user's partner. This can be done with respect to: - one or more processes relating to the respective individual (i.e., the relationships between multiple processes of the same individual). For example, relationships between one or more of the one or more processes and one or more other processes, in particular of a different type, can be learned and / or taken into account; and / or - one or more of the one or more operations relating to the User and one or more of the same or a different type relating to the User's partner.

[0040] For example, this concerns (e.g. causal and / or temporal and / or statistical) relationships between several processes (e.g. of the respective person) and / or (causal and / or temporal) relationships between one or more (first) processes of the user and one or more (second) processes (e.g. of the same, complementary or different type) of the user's partner.

[0041] Supporting the stimulation can comprise or be a (preferably complementary, supplementary) support of a real (i.e. wholly or partially real) and / or wholly or partially teleoperated and / or teleoperated carried out stimulation (referred to simply as teleoperated in this document) and / or one or more effects of the stimulation. For example, the at least one neural network is set up, trained, in particular retrained, and / or operated to generate output data (e.g. stimulation parameters, stimulation sequences, adaptation information and / or device information, etc. or the data underlying these) that support a real and / or teleoperated stimulation or teleoperated carried out stimulation. Supporting the stimulation can (in this case) involve a change and / or a supplement to the real or teleoperated stimulation orThe effect of such stimulation may include or be. For example, depending on the initial data (e.g., stimulation parameters), stimuli or effects are exerted on the user or the user's partner that change and / or supplement the real or teleoperated part of the stimulation or the effect of the stimulation. For example, the change or supplement can be carried out or be capable of being carried out with regard to a, in particular (e.g., in the specific case), expected, predicted and / or overall resulting, in particular specific effect (e.g., in relation to the goal, intermediate goal or target area).

[0042] Preferably, the at least one neural network is configured, trained, in particular retrained, and / or operated to modify and / or supplement one or more effects of a (to be supported) real and / or teleoperated stimulation. This is particularly preferably done in such a way that a specific effect, in particular a predominant part of the effect from the stimulation to be supported and the stimulation caused by the device and / or the effect achieved thereby), a goal, intermediate goal, or target value (of one or more parameters) is sought, in particular achieved and / or maintained.

[0043] Supporting the stimulation can cause (depending on the information generated, in particular the output data or the stimulation sequence): - Distribution of the effects or stimuli (on the specific areas of the surface or volume areas of the body); and / or - Changing one or more (preferably multimodal) influences or stimuli (e.g. certain parameters of these over time); and / or - Changing the effect of one or more influences or stimuli (e.g. certain parameters of the effect over time, e.g. by influencing other physical processes or perception); include or be.

[0044] The distribution and / or modification of the effects or stimuli can be achieved, for example, by a dynamic and / or adaptively variable superposition, focusing, diffraction and / or interference of the effects carried out by different parts of the device and / or different actuators.

[0045] In particular, the device is designed to change the stimulation (e.g., the stimulation features listed above) dynamically and / or interactively, in particular in response to one or more parameters described in this document. In particular, in response to: - Action related to the device, in particular pressure, friction, sliding movement, in particular those corresponding to specific or specific characteristics and / or trained; and / or - Parameters of the state, arousal, desire, intention, action or interaction of the user and / or the user's partner; and / or - Specification and / or feedback from the user and / or the user’s partner; and / or - the like.

[0046] The modification of the stimulation or the effect of the stimulation described in this document can include or be a potentiation of the stimulation or the effect of the stimulation. The potentiation can be carried out on the basis of the relationships (e.g. machine-learned or taken into account in the method), in particular between various physical (e.g. physiological, biochemical, neurological) and / or between various non-physical (e.g. emotionally induced, psychological and / or cognitive) and / or between physical and non-physical processes (in any combination). For example, an effect or approximation of a goal, intermediate goal or target value brought about by several stimulations can be (significant, substantial) greater than the sum of the respective effects.

[0047] The phrase “dependent on a neural network” is to be understood in the context of this document in particular as: - depending on the operation of at least one neural network or on information generated by the at least one neural network (e.g. during operation or upon the operation of the neural network or a model or avatar) (e.g. on the output data, in particular on one or more output sequences of the at least one neural network); and / or - dependent on a neural network (e.g. a part of the same neural network or a neural network interconnected with the neural network) that is derived from the neural network, in particular deployed dependent on one or more parts of the data of the neural network; and / or derived from the neural network trained, in particular retrained, and / or operated by the operation of the neural network (e.g. in a further step or process).

[0048] This may be information (e.g. output data, output sequences) generated (e.g. during operation of the device or in the course of supporting the stimulation) for one or more sections of a stimulation, in particular several times per stimulation (e.g. continuously or as required).

[0049] One or more stimulation parameters, in particular a sequence of stimulation parameters, can be generated as part of the output data of the at least one neural network or determined depending on (e.g., based on) the (generated) output data. The one or more such parameters can include or be parameters for operating the device or one or more actuators of the device or an effect to be achieved with the device.

[0050] The one or more parameters of the stimulation (to be effected) may be characteristic of: - one or more areas of the body’s surface or volume to be stimulated; and / or - one or more areas of the surface or volume areas to be stimulated which are to be influenced by the stimulation of the other areas of the surface or volume areas of the body and / or in which a (specific or determinable) effect is to be achieved; and / or - Type of stimulation (e.g. vibration, pulsation, pressure, traction, friction, and / or mucosal contact, stimulation with electrical signals, electromagnetic fields, one or more active substances or the desired effect with them, etc.); and / or - actuators to be used for one or more parts of the device and / or control data for the actuators; and / or - one or more directions and / or speeds and / or intensities of stimulation; and / or - one or more amplitude parameters and / or frequency parameters (e.g. frequency spectrum) and / or amplitude function and / or frequency function of the (respective) stimulation; and / or - temporal parameters, in particular with regard to points in time, time intervals and / or sequences (e.g. as absolute and / or relative quantities); and / or - Change and / or movement of the stimulation and / or the effect (e.g. in relation to one or more areas of the surfaces or volumes of the body); and / or - Imitation of an action or interaction (e.g. typical for the intended use of the device) (e.g. according to certain or identifiable characteristics); and / or - a perception (e.g. by stimulation of the nerve pathways or brain areas) which is not or only partly caused by a corresponding physical effect or is linked to this, in particular an illusion (e.g. illusion of a physical effect); and / or - a dependency, in particular a function, between one or more of the aforementioned quantities and / or one or more further quantities.

[0051] The term stimulation sequence can be understood as a sequence of stimulations (e.g. dependent on generated output data) (e.g. of one or more types described in this document). The sequence can characterize, comprise or be one or more respective parameters, combinations and / or changes (e.g. dynamics) of parameters in relation to another variable (e.g. related to time and / or one or more areas of the surfaces or volume regions and / or one or more first or second parameters). A particular advantage of handling stimulation in this way can be that patterns, dynamic changes or changes in patterns are primarily important for human perception (particularly with regard to erotic stimuli), and the neural networks described in this document are also particularly good at generating data sequences (having corresponding features).

[0052] In particular, the stimulation sequence described in this document characterizes a sequence (e.g., ordered in a specific manner or according to a specific format) of one or more stimulation parameters. Therefore, the term "data sequence" should be understood alternatively or additionally as data characterizing the stimulation sequence or serving to effect the stimulation sequence, in particular "data sequence."

[0053] The output data of the at least one neural network or the stimulation supported and / or effected in the method can be (at least partially, in particular predominantly) multimodal, in particular with regard to: - a (predominantly) physical stimulation, in particular stimulation of one or preferably several different areas of the surface or volume areas of the body; and / or - to one or more (predominantly) different non-physical stimuli; and / or - a combination of (predominantly) physical and (predominantly) non-physical stimulations.

[0054] In this case, one or more such parts of the stimulation can be combined or effected in such a sequence (e.g. according to a corresponding sequence) that a (most advantageous) or (most possible) corresponding to one or more specifications or feedback, and / or (most efficient or optimized) aiming for an (e.g. specific or determinable, desired) effect or goals, intermediate goals or target values ​​is carried out.

[0055] The pursuit of an effect, one or more lines or intermediate objectives are, in the context of this document, also to be understood as avoiding or reducing, in particular minimizing, one or more, in particular specific or determinable (e.g. primarily undesirable) effects.

[0056] The device or a part of the device can be set up or the at least one neural network can be trained, in particular retrained, and / or operated to effect, change (e.g. adapt, regulate, in particular optimize) and / or supplement one or more physical processes or processes and / or effects with respect to different areas of the surface or volume areas, in particular: - dependent on each other (i.e. on one or more other physical processes or stimulation of other surfaces or volume areas of the same body or the same person); and / or - depending on one or more technical processes of the respective device or part of the device; and / or - dependent on one or more physical processes (of the same or a different nature) of the other person, in particular the partner of the user for the user or vice versa; and / or - dependent on one or more technical processes of a device or part of the device of the other person, in particular the partner of the user for the user or vice versa.

[0057] This can include or take into account simulating and / or predicting and / or anticipating one or more of the processes or parameters of one or more processes, in particular one or more processes or parameters of one or more processes depending on one or more further processes or parameters of one or more further processes. The trained, in particular retrained, relationships between the processes (e.g. a cascade of processes, for example in sexual stimulation) can be taken into account. For example, the stimulation of one or more (first) areas of the surfaces or volume areas of the (respective) body can be supported in order to strive for, in particular achieve or maintain a (second) effect in a (first or second, further) area of ​​the surfaces or volume segment of the (respective) body.

[0058] For example, input data, in particular an input sequence for operating the at least one neural network, can be determined depending on the parameters, in particular parameter sequences, that are characteristic of one or more (e.g., above-mentioned) first processes. Output data, in particular output sequences, can then be generated that: - to assist the stimulation of one or more second processes; and / or - for (re-)operating the at least one neural network (e.g. one or more parts of the same neural network and / or another neural network, in particular one networked with the neural network); be processed.

[0059] Supporting the stimulation can support the coordination or (at least partial) coordination of one or more (e.g. physical and non-physical) processes of the user: - among themselves (e.g. in any combination, in particular a physical process with another physical process or a non-physical process or vice versa); and / or - with one or more technical processes, in particular the operation of one or more actuators of the device; and / or - with one or more (e.g. physical and / or non-physical) acts of the user's partner; and / or - with one or more technical processes, in particular the operation of one or more actuators of another device; include or be.

[0060] For example, coordination can include or be a regulation, striving for, implementation or compliance with (e.g. specific and / or determinable, in particular optimized) relationships, proportions, temporal parameters, in particular relationships or functions between the respective parameters (e.g. physical and / or technical processes) and / or one or more predeterminable goals, intermediate goals or target values.

[0061] For example, the at least one neural network can be set up, trained, in particular retrained, and / or operated to operate the device in such a way that (at least partial) coordination or regulation (e.g. to a certain degree or to an appropriate extent) is effected in accordance with the features described above.

[0062] For example, output data is generated which identifies one or more (preferably different) effects, goals, intermediate goals and / or target values ​​to be aimed for, in particular to be achieved or maintained. These can be different effects, goals, intermediate goals and / or target values ​​and / or those relating to different processes, areas of surfaces or volume segments and / or processes and / or time intervals. This can be an effect sequence, target sequence, intermediate goal sequence or target value sequence or can be generated or processed as such. This data therefore does not have to include the (e.g. only or predominantly physical) parameters of the stimulation or method or ways in which the effect is to be achieved, or can be independent of these. Rather, effects, goals, intermediate goals and / or target values ​​orCorresponding sequences can be specified or generated entirely, partially, and especially essentially independently of any specific instruction on how they are to be achieved. This can be advantageous because the ways to (effectively) achieve the effects, goals, or intermediate goals can be very specific.

[0063] For example, such an effect sequence, target sequence, intermediate target sequence or target value sequence that characterizes a specific or determinable (corresponding to determinable characteristics) experience or a climax can be generated and / or stored and / or transmitted to the user's partner or to another person (e.g., another user) or shared with them. In particular, this can also be understood as: (in the form of data, in particular in a suitably selected or optimized format) storable, transmittable and / or shareable (with other people). The respective part of the device or another device (if necessary by means of other influences or stimuli) can then support the stimulation taking into account the then applicable or expected (first or second) parameters of the respective person, in particular in such a way that the respective effects, goals, intermediate goals or target values ​​(e.g.According to the sequence of effects, target sequence, intermediate target sequence, or target value sequence, the desired outcomes are achieved and / or maintained. In this way, perceptions, experiences (close to the body or involving a physical effect), feelings, and / or climaxes corresponding to specific or definable characteristics can be designed, stored, modified, shared, and / or reproduced (e.g., in a similar form or up to a certain tolerance level).

[0064] Supporting the stimulation can include or be creating an illusion of stimulation (realized in any way) or changing and / or supplementing a (e.g., real stimulation to be supported) by means of an illusion. For example, the illusion can (e.g., in a manner described in this document) change (e.g., change, adapt, or optimize with regard to its effect or perception) and / or supplement one or more other (at least partially real, at least partially teleoperated, and / or at least partially automatically produced) parts of the stimulation (which may also include or be an illusion).

[0065] The illusion preferably comprises or can be a physical illusion, in particular one that is localized or localizable (e.g., perceptible there) in one or more specific areas of the surface or volume of the body, preferably a changeable or movable illusion. The term illusion is to be understood in particular as a perception that is not or only partially triggered by a corresponding physical influence or stimulus (e.g., change, movement) and / or that imitates a physical influence or stimulus (e.g., change or movement).

[0066] The one or more illusions relate in particular to a physical perception and / or sensation that can imitate or simulate a (specific and / or determinable) physical effect. The one or more illusions can include or be localizable illusions (e.g., related to one or more areas of the surface or volume of the body or in the perception of the user or the user's partner). For example, one or more illusions (induced or supported in the process) can include or be perceptions and / or sensations that correspond to specific characteristics or specific characteristics.

[0067] In the context of this document, the term "determinable" is to be understood in particular to mean that the one or more relevant stimulations, effects, functionalities, etc. can be determined, in particular adjusted, selected, effected or optimized in the process (e.g. specifically, individually or as desired), in particular based on one or more characteristics. These can be determined entirely or partially automatically (e.g. through automatic evaluation or interpretation) or entirely or partially by the user or the user's partner (e.g. through specifications, feedback or an expression of will). In this case, predominantly or essentially only parameter value ranges, types, patterns and / or predominantly abstracted or emergent characteristics can be determined (preferably predominantly selectively or in relation to a determinable circumstance).

[0068] For example, a definable effect and / or definable change is to be understood in such a way that one or more characteristics of the (desired) effect or change (e.g. with the specification or feedback) can be described. For example, the user describes, in particular in a linguistic form (e.g. using verbs, adjectives, designations, names that have typical linguistic and / or self-assigned meaning) and / or through gestures, movements, poses, facial expressions, micro-expressions, what she would like to feel or have differently. This can be at least partially abstracted from the description of the stimulations, parameters, body parts, and physical processes to be carried out for this purpose. The at least one neural network can then, in particular depending on the interpretation of the specification or feedback, the effect and / or change (on the one hand) and / or the learned relationships (on the other hand), generate a (e.g. objective orsubjective) effect in accordance with the characteristics that can be determined in this way, in particular to achieve or maintain it.

[0069] Supporting the stimulation can include or be for training (e.g., training, practicing), in particular supporting the training (training, practicing) of the user and / or the user's partner. In this case, the training is to be understood in particular with reference to the respective human or person, and / or as athletic training, training or changing the body, improving the physical, psychological and / or mental condition, practicing, training, developing (specific or determinable) physical, psychological and / or mental abilities, perception, mindfulness, concentration, etc. This training (of the human) is in particular not to be confused with the machine learning (training) described in this document.

[0070] Changing the body can include or be, in particular, loosening, revitalizing, activating and / or building up specific muscles or muscle groups, breaking down fatty tissue and / or deposits (e.g., limescale or waste products) in the body, stimulating, adapting, and in particular optimizing one or more (e.g., physical, biological, biochemical, physiological, and / or non-physical) processes (particularly to be understood as processes) and / or healthcare or healing. Training (training, practicing) is to be understood as a change (e.g., desired or corresponding to the goal) and / or lasting or permanent (e.g., physical or non-physical) beyond the use of the device.

[0071] Training (training, practicing) can involve training the close, physical, or sexual interaction between the specific user and the user's specific partner. For example, it can involve or be the training of an (improved) sensation (e.g., a subjective sensation or perception) of one or more (specific) areas of the body's surfaces or (within the tissue) volume areas (e.g., the organs) of the body. The exercises can be specific or individual, or include exercises specifically generated for the couple and / or adapted or optimized (e.g., depending on the phase and / or progress of the training).

[0072] The device can, for example, comprise or be a (possibly corresponding) training device, sports device, such as a device for training the user and / or partner or their interaction during training or sports, therapy device (e.g. a medical device or a device for use by the user), wellness device, massage device (e.g. a Shiatsu massage device, massage gun), couples massage device, sex toy, partner toy, vibrator or partner vibrator, device for pelvic floor training or the like.

[0073] The term “user” in the context of this document is to be understood in particular as a female person, woman (in particular also as a person who defines their gender as female and / or has a female sexual orientation). This can result in particular advantages in the method (e.g. in comparison to stimulation that can only be adjusted or controlled according to certain rules or logic), since the perception of one’s own body, intimacy and / or sexuality can typically be particularly demanding and complex (particularly in female persons in comparison to male sexuality). Advantages of the invention therefore arise in particular with regard to complex and / or different or specific (physical and / or non-physical) needs, physical characteristics or qualities, psychological characteristics and states (which cannot be adequately or effectively addressed by simple means or by means that are the same for all users).can be optimally cared for). Therefore, this document is primarily dedicated to women.

[0074] For example, physical stimulation is or includes stimulation of one or more areas of the surfaces (in particular also areas of the epidermis, external or internal mucous membranes, in particular multi-layered (non-keratinized and / or partially keratinized) epithelium) or volume areas of the body below the surface (e.g. in deeper areas of the body, e.g. from a few millimeters to a few centimeters) (e.g. certain muscle strands, organs or glands, etc.).

[0075] Preferably (e.g., in the case of an application of the device comprising sexual or intimate stimulation), one or more areas of the surface or volume areas of the body (in the case of a biologically female user) areas of the mons pubis, the vulva, the labia majora pudendi, the labia minora pudendi, the clitoris (in particular the visible part or glans of the clitoris and / or the corpora cavernosa of the clitoris and / or crura (thighs or wings of the clitoris and / or vestibular bulbs of the clitoris), the vestibule of the vagina, the vaginal opening, the vagina (in particular the cervix, fornix, rugae, Bartolin's glands), the G-spot (called G-spot or Grafenberg zone), the A-spot, the K-spot of the perineum, the breasts and / or the anus; or respectively, internally and / or externally connected areas of the surface or volume areas of the user's body; include or be.

[0076] For example, one or more areas of the surfaces or volume areas (related to the processes in the above-mentioned areas of the surfaces or volume areas (e.g. functionally or physiologically)): - Muscle groups, in particular pelvic floor muscles, especially pubococcygeus muscles (PC muscles), and / or abdominal muscles, adductors (inner thigh muscles), gluteal muscles (buttock muscles), core muscles, quadriceps and hamstrings, and / or back muscles; and / or - Brain areas containing or associated with glands, particularly the pituitary gland and / or hypothalamus; and / or - Glands, especially Bartholin's glands, Scene's glands, apocrine glands, ovaries, adrenal glands, mammalian glands.

[0077] Preferably (e.g. in the case of an application of the device comprising sexual or intimate stimulation) one or more areas of the surfaces or volume areas of the body (in the case of a biologically male user or the user's partner) can relate to the penis (e.g. areas of the glans, ...), testes, prostate, Cowper's gland, adrenal glands.

[0078] For example, one or more areas of the surfaces or volume areas (with the processes in the above-mentioned areas of the surfaces or volume areas functionally related): - Muscle groups, in particular pelvic floor muscles, especially pubococcus aureus (PC muscle), and / or abdominal muscles, adductors (inner thigh muscles), gluteal muscles (buttock muscles), core muscles, quadriceps and hamstrings, and / or back muscles; and / or - Brain areas containing or associated with glands, particularly the pituitary gland and / or hypothalamus; and / or - That sort of thing.

[0079] Areas of the surfaces or volume areas of the body can include or be areas of the surfaces of one or more erogenous zones on the body or volume areas of the erogenous zones within the body (of the user or the user's partner).

[0080] In this case, particularly with regard to (direct or indirect) stimuli or influences, much smaller areas of the surfaces or volume segments of the (e.g. above-mentioned) body parts (e.g. more than 10, 10 2 , 10 3 , ...) areas or volume segments can be defined or differentiated. For example, patterns can be generated from effects of several types that relate to a large number of small areas of the surfaces or volume segments.

[0081] For example, one or more areas of the surfaces or volume areas can alternatively or additionally be those that are related to the one or more areas of the surfaces or volume areas (e.g., functionally, physiologically, biochemically, neurologically, in particular through sensory and / or motor signals or corresponding nerve strands or meridians or trigger points). In particular, it should be emphasized again that the method or the learned or considered, particularly specific, relationships (e.g., causality, correlation, synchronicity) between different areas of the surfaces or volume areas and / or processes (which particularly affect them) can include.

[0082] Preferably, different stimulations are supported or effected (e.g., differentiated depending on the surface or one or more areas of the surfaces or volume areas of the body, which can be controlled or combined in groups or individually depending on the output data). For example, different, variable or adaptively changing (spatial) distribution and / or (temporal) course of several stimuli or influences can be carried out (depending on the phase of excitation, the effect or other parameters). The characteristics of the distribution and / or the course can be (specifically) generated by the at least one neural network or identified in the output data (e.g., in an output sequence characterizing the stimulation sequence).

[0083] In particular, this is done with an area resolution or volume resolution of at least 2, 4, 8, 16, 32, 64, ... different or at least partially independently (e.g. with significantly different parameters) effectable or supportable stimulations per cm 2 or cm 3 and / or with a temporal resolution of at least 0.1; 0.5; 1; 2, 4, 8, 16, 32, 64 different or at least partially independently of each other (e.g. with significantly different parameters) efficacious or supportable stimulations per second.

[0084] The user's partner is to be understood in particular as a male person, man (in particular also as a person who defines his or her gender as male and / or has a male sexual orientation), or a person who is suitable for the user or the user's sexual orientation (which can be, for example, another female person).

[0085] Alternatively or additionally, the term "female user" is to be understood specifically as a male person (as user). In this case, the physical stimulation may include or be the stimulation of one or more (analogously defined for the male body) surface areas (including areas of the epidermis, external or internal mucous membranes) or volume areas located below the surface (e.g., in deeper areas of the body), etc.

[0086] In this case, further characteristics of the procedure are to be understood (selectively) as relating to a male user or male body, needs, emotions, psychology, or cognition typical of male persons (of the corresponding age). In this case, the user's partner is to be understood in particular as a female person or a person who matches the user or the user's sexual orientation (who may, for example, be another male person).

[0087] In particular, a significant part of the physical (intimate) stimulation (e.g. the intimate or sexual part of the overall stimulation) in relation to the so-called erogenous zones and / or one or more areas of the surfaces or volume areas of the (respective) body and / or areas of the surfaces or volume areas that are (e.g. functionally or physiologically) related to these, causes a number or density of nerve endings of more than 1000, 2000, 300, 4000 per cm 2 or per cm 3 have.

[0088] The stimulation can include or be a stimulation of the nerve pathways or nerve endings or meridians or trigger points described in this document (e.g. along the nerve pathways or meridians), in particular with specific parameters determined or generated in the process (depending on the generated output data) or according to specific (specific and / or adaptive) patterns determined or generated in the process. It can be a direct or indirect stimulation. The stimulation can, for example, include or be a stimulation comprising (direct or indirect) physical contact (to the respective areas of the surfaces or volume areas) and / or a stimulation of one area of ​​the surfaces or volume areas with the aim or intermediate aim of supporting the effect of the stimulation of the other areas of the surfaces or volume areas.

[0089] Physical stimulation may include or be one or more items or a combination of items from the following list: - Variable pressure (e.g. 3D or 4D stimulation or Shiatsu stimulation) and / or pressure pulses and / or negative pressure and / or vibration and / or causing the deformation of a part of the body (e.g. by variable pressure, pulse, oscillation, vibration and / or deformation of a part of the device); - Varying air pressure (e.g. pressure pulses), negative air pressure (e.g. negative pressure pulses), pulses of alternating pressure and negative pressure; - A physical impact generated or simulated hydraulically or with or by means of a liquid (e.g. water), a gel and / or elastic mass; - water flow, water pulses, water swirling, water movement, droplets or microdroplets, in particular modulation of one or more water jets; - Temperature, in particular temperature change, heat, in particular heat caused by a heating element and / or infrared radiation, cold and / or a perception of heat (e.g. perception as warm, cold, heat contrast, etc.); - electrification and / or ionization (e.g. by means of air, water, liquid); - Deformation or pneumatically or hydraulically deformable or inflatable chambers; - Electrical stimulation, in particular generating the perception or simulation of a movement or change by means of electrical voltage, in particular signals; - Simulated touch and / or movement, an interaction, in particular an (intimate) action or interaction with one or more body parts of the user's partner.

[0090] Alternatively, the stimulation may include or be a (corresponding) influence or stimuli that are brought about by means of the above-mentioned circumstances (e.g. by changing the parameters of these).

[0091] The actions or interactions described in this document (wholly or partly real, wholly or partly simulated or wholly or partly virtual) may (in each case or selectively according to characteristics) be physical actions or interactions or actions or interactions involving physical stimulation.

[0092] Alternatively or additionally, the stimulation can include or be a simulation (e.g. of one or more of the physical perceptions described above). This can be brought about, for example, by other influences, stimuli, electrical impulses, nerve impulses, chemical substances, (automatically induced) external and / or internal application, administration or injection or inhalation of one or more substances or scenting of the user or the user's partner. Alternatively or additionally, stimulation or the support of stimulation can be made perceptible (e.g. suggested, simulated) by stimulating and / or manipulating the (biological or neurological, neuronal) signals or information content of the nervous system of the user or the user's partner (e.g. in a nerve pathway or brain). For example, the illusion described in this document can be included in this category or supported in this way.

[0093] The stimulation (also to be understood as effects or stimuli causing the stimulation) can be effected by means of one or more actuators of the stimulating device directed (preferably at one or more different areas of the surfaces or volume areas of the respective body). These can be several actuators, preferably at least partially or predominantly independently controllable or (directly or indirectly) acting.

[0094] In the method (in particular by operating the one or more means, in particular actuators of the device) one or more stimulations can be generated comprising: - a (dynamic or adaptive) distribution and / or (dynamic or adaptive) shifting of the effects or stimuli to several areas of the surfaces and / or subsurface areas (volume areas) of the body and / or varying the order and / or variants and / or parameters of the stimulation; and / or - Change in the time intervals and / or phase between several, in particular different, stimulations or influences or stimuli; and / or - Combining and / or executing (one or more physical parts of the stimulations), in particular in a sequence with a (preferably controlled, selected or generated in the process) media output and / or actions or interactions of the avatar (e.g. the respective partner).

[0095] The operation of the stimulating device can comprise or be the operation of one or more means, in particular a computing unit, sensors and / or actuators and / or multiple effects of one or more means, in particular a computing unit, sensors and / or actuators (e.g., each dependent on one or more outputs of the output layer of the neural network). The one or more means, in particular a computing unit, sensors and / or actuators, can preferably be operated in a mutually coordinated manner and / or to strive for, in particular to achieve or maintain, a (e.g., common, overarching and / or emergent) goal (in relation to the user, the user's partner, effects on them and / or their interaction).

[0096] Preferably, one or more of the stimulations and / or effects of the stimulations are generated within the body or below the surface of the body or below the skin or (external or internal to the body) mucous membrane (e.g. multilayered non-keratinizing (predominantly non-keratinizing), non-hairy squamous epithelium or cylindroepithelium), in particular at a depth of at least 1, 3, 5, 10, 20, 30, 40, 50, 60, 70, 80 millimeters below the (respective) surface. Particularly preferably, one or more of the stimulations are effected in such a way that their intensity and / or their stimulating effect (in one or more volume regions) below the surface of the body or the mucous membrane is stronger or higher than at the surface of the body (e.g. stronger than at any part of the surface or regions of the surfaces).

[0097] For example, stimulation includes or is caused by: - setting one or more areas of the surface or volume of the body into vibration, whereby in particular one or more resonances are caused or used; and / or - Generating one or more combinations of stimulations. In particular, several stimulations or stimulations of different types (e.g., with regard to the effect and / or with regard to stimulated areas of the surfaces or volume areas), in particular at one or more different areas of the surface (e.g., erogenous zones on the surface) or volume segments (e.g., in a part of the tissue, organ, muscle strand, nerve pathway, or nerve strand within the body) can be stimulated and / or combined; and / or - Superimposing, interfering, and / or focusing multiple influences (e.g., vibrations, electrical signals) on multiple different areas of the surfaces or volume areas (e.g., from different impact areas and / or directions) on one area of ​​the surface or volume segment. This can be done, in particular, in such a way that the (e.g., physical) stimulation or effect in one (e.g., not directly or strongly stimulated) area of ​​the surfaces or volume segment is stronger than in multiple (e.g., directly or immediately) stimulated areas of the surfaces or volume areas.

[0098] For example, such a (caused, supported, reinforced, adapted, in particular optimized) stimulation or effect of the stimulation, in particular on or in one or more areas of the surfaces or volume areas, can be stimulated with a relatively low, limited or no direct stress (e.g. a layer of the skin or mucous membrane) and / or without or with a slight insertion of the device into the body and / or without a (rigid) movement and / or without (intense) friction within the body. In particular, this is to be understood as causing a movement and / or stimulation within one or more (e.g. at a certain depth within the tissue) internal volume areas of the body that is stronger than one or more influences and / or effects of the stimulations on one or more areas of the surfaces. For example, such an objective orphysically occurring stimulation and / or subjective effects as a corresponding perception of the user (e.g. as movement and / or stimulation within the body) are brought about or supported. Such stimulation can be brought about without or with a slight insertion or a correspondingly strong movement of the respective part of the device (which can be inserted into the user's body). This can be brought about by a coordinated operation (e.g. by means of the at least one neural network) of several actuators of the device (e.g. in relation to several areas of the surfaces, in particular a relatively large area).

[0099] Particularly preferably, one or more stimulations are supported by one or more parts of the device that can be worn entirely or partially on the body, inserted into the body, in particular in the intimate area, and / or integrated entirely or partially into clothing or the body (e.g., for a limited period or permanently integrated, in particular implanted). For example, one or more parts of the stimulating device can comprise or be one or more so-called wearables. For example, the device comprises one or more correspondingly designed parts.

[0100] For example, the device may comprise a plurality of parts, in particular those connected to the user device and / or the computing unit (server system, cloud) arranged at a distance and / or interconnected, which are designed, for example, to carry out the stimulations of the user and / or the user's partner (coordinated and / or serving the same goal, intermediate goal).

[0101] Preferably, one or more (of the total number of) parts can be designed to stimulate the user and / or one or more (of the total number of) parts can be designed to stimulate the user's partner and / or can be networked or interconnected in any combination to carry out the stimulation. When reference is made to the device in the context of this document, this term is to be understood (in each case analogously) to individual or multiple parts of the (respective) device (which can be networked with one another via information technology or which serve a coordinated or common goal).

[0102] For example, the stimulation can be effected by several parts of the device (e.g., several parts that are operatively connected to one another and / or to the neural network), in particular more than three or four. In this sense, the (respective) device is to be understood as one or more parts of the device.

[0103] Preferably, the method causes multiple stimulations (e.g., multiple parts of the stimulation) (particularly also to be understood as: generated). Particularly preferably, the stimulations or parts of the stimulation (each): - be of different (e.g. previously mentioned) types; and / or - are based on different (e.g. physical, physiological, biochemical, pharmaceutical, neurological) principles or actions and / or effects; and / or - affect different parts of the body or areas of the surfaces (e.g. epidermis, mucous membrane) or volume areas (e.g. tissue and / or (internal) organs); and / or - different effects, in particular further effects or after-effects caused by an effect; and / or - cause effects and / or perception in different areas of the surfaces or volume areas of the body.

[0104] The stimulation or the support of the stimulation can comprise or be the administration of a substance (e.g. one or more active ingredients, in particular a medication), and / or the effecting of the production and / or the secretion (e.g. release) and / or degradation of substances of certain types or of certain substances, in particular hormones (particularly relevant for the respective application of the device or in the context of the stimulation) (e.g. dopamine, oxytocin, etc.). For example, the measure can comprise or be the effecting of the, in particular modified, adapted (e.g. increased and / or weakened) production or secretion of substances (in each case of a certain type or of certain hormones). This can be done to support the stimulation (e.g. depending on the first and / or second parameters) and / or with (suitably selected) parameters that lead to the (up to a certain degree optimized) achievement of the effect of the stimulation orStriving for, in particular achieving or maintaining, goals, intermediate goals or target values.

[0105] In particular, the body's own characteristics or mechanisms can be influenced or stimulated (e.g. by means of one or more types of stimulation described in this document) in such a way that the production and / or release and / or degradation of substances of certain types or certain substances is brought about or adjusted, in particular to a suitable or optimized extent.

[0106] The medication may include or be medication applied externally, internally, or intravenously, particularly locally applied or administered. This may be medication (comprising the stimulation or the effect of the stimulation) (e.g., medication for adjusting, particularly optimizing, the stimulation or the effect of the stimulation).

[0107] Supporting the stimulation can comprise or be a selection, dosing and / or combination and / or production and / or administration of one or more substances (e.g. active ingredients and / or fragrances), in particular for effecting the stimulation or for changing or supplementing a stimulation to be supported or its effect. These can be selected, dosed, mixed and / or synthesized (e.g. by a chemical reaction) on the basis of several (e.g. at least 2, 4, 8, 16, 32, 64) substances. This can be carried out dependently on, complementarily or in addition to, or coordinated with one or more other (e.g. further described in this document) types or parts of the stimulation. For example, this can cause or support (e.g. adapt) one or more (e.g. limbic, neurological, biochemical, sympathetic, parasympathetic, vascular, etc.) processes (e.g.to effect, change and / or supplement the processes or their effect).

[0108] In the context of this document, the “limbic, sympathetic, parasympathetic” processes or corresponding systems are to be understood as meaning, in particular, processes in the respective (limbic, sympathetic, parasympathetic) nervous system and / or processes in the body that are related to the limbic, sympathetic, parasympathetic nervous system (of the user or the user’s partner), and in particular are controlled by them (more or less directly).

[0109] For example, at least one neural network (e.g. which comprises or forms one or more parts of the user's model) can be trained, in particular retrained, to generate information characterizing a (e.g. specific, in particular specifically optimized) selection, dosing and / or combination (e.g. from several active ingredients or substances) and / or generation (e.g. through a chemical reaction) and / or administration of substances into the body and / or causing the production and / or release and / or degradation of substances (e.g. substances of certain types or certain substances) in the body (of the user or the user's partner).

[0110] In the method, information (e.g. initial data, initial sequences) relating to one or more possible or probable main effects (e.g. therapeutic effects), side effects and / or interactions and / or one or more expected effects, conditions and / or performances (with and / or without substances) of a user or the user's partner in connection with one or more substances (e.g. active ingredients or medications in certain doses, combinations, etc.) and / or measures can be generated and / or taken into account. Preferably, the information can identify or take into account a (corresponding) prediction, anticipation and / or simulation. In particular, the method can predict and / or anticipate and / or simulate and / or reduce, in particular (to a certain extent) minimize, one or more (possible or probable) side effects and / or interactions.

[0111] For example, the method may comprise optimizing one or more effects, in particular main effects (e.g., therapeutic effects), side effects, and / or interactions. These include, in particular, effects, in particular main effects (e.g., therapeutic effects), side effects, and / or interactions, particularly concerning the administration of one or more substances (active ingredients) or a medication: - to support stimulation; and / or - in connection with the use of the device and / or in the context of stimulation; and / or - taking into account one or more conditions and / or events of the user or the user's partner, in particular those expected for a specific time interval and / or under specific conditions; and / or - taking into account one or more specifications and / or feedback.

[0112] For example, this may include one or more effects, main effects (e.g. therapeutic effects), side effects and / or interactions of: - several active substances, in particular taking into account the doses, time intervals of administration and / or areas of surfaces or volumes to which they are administered; and / or - with one or more effects of one or more further stimulations or parts of the stimulations; and / or - That sort of thing.

[0113] For example, one or more (arbitrary) effects, in particular main effects (e.g. therapeutic effects), side effects and / or interactions are predicted and / or anticipated and / or simulated (e.g. in a first generative or transformative process).

[0114] The effects, in particular main effects (e.g. therapeutic effects), side effects and / or interactions can be generated as parameters characterizing the effects, side effects or interactions, in particular type, dimensions, etc. of the respective effects and / or processes affected by them, time intervals, areas of the surfaces or volume areas, preferably as data sequences that characterize such parameters (e.g. sequence of parameters) or handled in the method (e.g. to generate further output data).

[0115] For example, the method may include processing several variants concerning: - selection, dosing and / or combining and / or producing and / or administering one or more substances; and / or - one or more effects, in particular effects, in particular main effects (e.g. therapeutic effects), side effects and / or interactions, in particular those that are possible, to be expected or predicted (e.g. with a certain degree of probability) if several different conditions, assumptions, predictions, anticipations or simulations (e.g. in relation to other parameters or processes described in this document) are met. This can be done in the form of a data sequence that characterizes the respective parameters over time or in relation to one or more other variables.

[0116] For example, depending on the accuracy of the conditions, assumptions, predictions, anticipations or simulations (in one or more time intervals), the relevant information that characterizes or takes into account one or more effects, in particular main effects (e.g. therapeutic effects), side effects and / or interactions can be selected and / or used (e.g. further processed or used to support the stimulation).

[0117] For example, information regarding the selection, dosing, and / or combination and / or production and / or administration of substances, in particular medication and / or ointments and / or fragrances, can be generated (subsequently), taking into account one or more results of the prediction and / or anticipation and / or simulation (e.g., at least partially in the same and / or in a further generative or transformative process). This information can be optimized to achieve one or more (specific or determinable, in particular predeterminable according to their characteristics) effects, reduce one or more side effects and / or interactions, influence, in particular regulate one or more processes, and / or conserve substances (to a certain degree).

[0118] The generated information may (in all or selected cases described in this document) take into account the (first and / or second) data and / or (first and / or second) parameters, in particular be specific (e.g., also case-specific) and / or be in the context of the use of the device (e.g., in relation to one or more therapies, exercises, massage, or eroticism). For example, one or more substances may be active ingredients for increasing potency, increasing sensitivity, increasing the capacity for certain processes, regulating one or more processes or the relationships between them, striving for, in particular, achieving or improving sexual climaxes, prolonging or shortening one or more phases of arousal, coordinating or adapting the arousal or processes among themselves or between the user and the user's partner, and / or reducing one or more undesirable effects, etc.act.

[0119] In particular, the at least one neural network can be trained, in particular retrained, and / or operated, or the device can be configured to support a medication, in particular comprising at least two, three, four, or five active ingredients or medications. For example, the medication can be directed at one or more of the areas of the surface or volume regions of the body described in the present document or can be administered (predominantly, substantially) locally to them and / or can be used in combination with one or more types of stimulation and / or to strive for, in particular achieve and / or maintain, specific goals, intermediate goals, or target values.

[0120] For example, at least one neural network can be set up, trained, in particular retrained, and / or operated to generate information (e.g. output data, output sequence), in particular one or more parameters, relating to selecting, dosing and / or combining and / or generating and / or administering substances, in particular medication, and / or causing the production and / or release and / or degradation of substances of certain types or certain substances in the body of the user or the user's partner (e.g. for stimulation or to support the stimulation).

[0121] One or more parameters related to the administration of a substance, in particular medication, can be counted as stimulation parameters. One or more parameters related to the administration of a substance, in particular medication, can be characteristic of one or more entries from the following list: - Composition of the drug, in particular of several active ingredients; - Pharmaceutical class or the formula of one or more active ingredients of the medicines; - Dose, in particular parameters and / or function of the dosage; - Period of medication; - one or more conditions to be met concerning the - Parameters for controlling the administration of the substance, in particular by means of the device.

[0122] Preferably, it is a parameter sequence which characterises a sequence of several ongoing or dependent conditions to be complied with, in particular interdependent, or continued administration of one or more substances, in particular active ingredients or medication, according to a specific dependency.

[0123] For example, the device is configured to select, dose and / or combine and / or generate and / or administer substances and / or cause the production and / or release and / or breakdown of substances (e.g. substances of certain types or certain substances) in the body of the user or the user's partner. These can be configured to administer or influence the substances (at least partially, predominantly, essentially locally) in relation to (certain or determinable) areas of the surfaces or volume regions of the body, depending on the information generated or information determined from the information generated. For example, one or more parts of the device comprise actuators for selecting, dose and / or combine and / or generate and / or administer substances and / or cause the production and / or release and / or breakdown of substances of certain types orcertain substances in the body of the user or the user's partner.

[0124] The selection, dosing and / or combination and / or generation and / or administration of substances and / or causing the production and / or release and / or degradation of substances of certain types or of certain substances in the body of the user or the user's partner or the respective parameters, in particular parameter sequences, can be carried out specifically, in particular case-specifically or specifically with regard to the first and / or second parameters and / or with regard to further predicted and / or anticipated and / or simulated information, in particular with regard to certain and / or predicted phases of stimulation or excitation, and / or (at least partially locally, i.e. with regard to certain areas of the surfaces or volume areas of the respective body). This can be carried out in an (up to an appropriate degree) optimized combination and / or manner.

[0125] For example, the selection, dosing, and / or combination and / or generation and / or administration of substances and / or causing the production and / or release and / or degradation of substances of certain types or of certain substances can be carried out in an optimized (to an appropriate degree) combination with one another and / or with one or more other parts of the stimulation and / or manner. In this case, a particularly gentle administration of substances, in particular medication, and / or an improved effect, striving, in particular achieving and / or maintaining goals, intermediate goals, or target values, in particular reducing side effects and / or interactions, can be carried out.

[0126] For example, at least one neural network (e.g., which comprises or forms one or more parts of the user's model) can be trained, in particular retrained, depending on various (a plurality of) parameters that are characteristic of: - one or more states of a process, system of the body, organ, etc. (e.g. before or in a time interval or before or in a phase of excitement and / or medication and / or the process); and / or - one or more characteristics, quantities or concentrations of certain substances or substances belonging to certain species, in particular endogenous substances; and / or - one or more active ingredients (in medication); and / or - one or more effects, in particular the respective main effects, side effects or interactions, and / or the degree of approach, in particular the achievement or maintenance of one or more objectives, intermediate objectives or target values; and / or - one or more (related to the change in the parameters of the substances or the parameters of the medication) altered conditions and / or processes or changes that have occurred; and / or - the breakdown of one or more substances (e.g. endogenous and / or administered through medication) in the body, particularly in certain areas of the body's surfaces or volumes.

[0127] Such parameters or data determined based on the parameters (e.g., data sequences) can (each) refer to a time course, events, and / or each other. For example, they can characterize circumstances that are (temporally and / or causally) related.

[0128] Particularly preferably, it is the same neural network (e.g., part of the neural network) or a part of the neural network interconnected with the part of the neural network, which is (also) trained, in particular retrained, and / or operated according to one or more features described in this document. This allows a multitude of additional relationships concerning the user or the user's partner and / or the area of ​​application and context of use of the device to be (co-)learned and / or taken into account.

[0129] For example, when stimulating the user, the selection, dosing and / or combination and / or generation and / or administration of substances and / or causing the production and / or release and / or degradation of substances of certain types or of certain substances in the body of the user or in the body of the user's partner can be taken into account. In particular, this can be carried out in a forward-looking or predictive manner (e.g., depending on the result of a prediction, anticipation and / or simulation). For example, the (foreseeable, predicted, anticipated and / or simulated) effect of the substances in relation to the user, in particular one or more processes of the user, and / or in relation to the user's partner, in particular one or more processes of the user's partner, in particular with regard to one or more future time intervals, is taken into account. This can, for example,be taken into account in the input data of the at least one neural network for operating the device.

[0130] The method can comprise a simulated selection, dosing and / or combination and / or generation and / or administration of substances and / or causing the production and / or release and / or degradation of substances of certain types or of certain substances. This can be carried out by means of the at least one neural network (e.g., which comprises or forms one or more parts of the model of the user or the user's partner). In this case, one or more of the processes (of the user or the user's partner) and / or the effect, side effect and / or interaction of the substances, in particular of a medication, can be simulated. This can be carried out on a model (e.g., according to one or more features described in this document) (e.g., a simulated image of the user or the user's partner). The model can comprise one or more (e.g.,Simulate (interdependent) physical and / or non-physical processes and / or effects of one or more parts of the stimulation (dynamically or with regard to respective dynamic changes). At least one part of the stimulation may take into account, include, or be the administration of substances and / or causing the production and / or release and / or degradation of substances of certain types or certain substances.

[0131] The output data (corresponding to the operation of the at least one neural network with the parameters of the medication) generated can take into account or characterize one or more effects and / or side effects and / or interactions of the substances, in particular of a medication, in particular with regard to one or more specific time intervals or a course of the one or more effects and / or side effects and / or interactions. For example, stimulations or medications, in particular in specific combinations or sequences, can be safely tried out (in advance and / or taking into account the respective data or parameters). For example, parameters, in particular parameter sequences of the effects and / or side effects and / or interactions (expected in the respective variant), can be generated.These can be further processed, in particular compared, and the result of the comparison can be taken into account in the proceedings.

[0132] For example, the method may comprise generating information (e.g. output data, in particular output sequences) for regulating, optimizing, and / or finding a balance or compromise between one or more entries from the following list: - one or more expected, in particular predicted, residual symptoms (on the one hand) and / or effect of the medication or a combination of medications; and - the expected, in particular predicted, main effects (e.g. effect in terms of the objectives or intermediate objectives) and side effects and / or interactions and / or - Costs, in particular the costs of treatment, including all essential items, particularly medication or medications.

[0133] The information may identify parameters of the stimulation for regulating, optimizing, and / or finding a balance or compromise (for carrying out the regulating, optimizing, finding or creating at least a compromise) or be used to operate the device.

[0134] For example, the device can be designed to support stimulation by selecting, dosing, and / or combining, and / or generating and / or administering substances and / or causing the production and / or release and / or degradation of one or more substances of specific types or specific substances. In this case, the effect of one or more stimulations, in particular an overall resulting effect (of the one or more further types of stimulation described in this document) together with the administration of one or more substances (in the case of medication) and / or causing the production and / or release and / or degradation of one or more endogenous substances of specific types or specific substances, or goals, intermediate goals, or target values, can be optimized.

[0135] The term medicines or medication includes in particular pharmaceutical products or active ingredients of one or more types (known to the person skilled in the art), narcotics (e.g. anesthetics, legal or prescribed drugs), sexual enhancers, stimulants or the use of such products or active ingredients.

[0136] Particularly preferably, multiple stimulations, in particular one or more preferably different stimulations, can be combined with one another and / or alternately (e.g., in a sequence determined or optimized in particular in the method) and / or in different phases of one or more processes, in particular tension, relaxation, or excitation. The stimulation can comprise or be such a, in particular specific and / or optimized, combination or one or more sequences of stimulations.

[0137] For example, the combination and / or sequence of stimulations (e.g., of stimulations, influences, or stimuli adapted to one another) can be effected in such a way that sexual stimulation and / or stimulation adapted to sexual stimulation and / or an effect of the stimulation (e.g., in relation to the perception or sensation of the user and / or the state of the user) results.

[0138] For example, at least one neural network can be trained and / or operated: - select several types of stimulation; and / or - to control, in particular to adjust, one or more parameters of one or more (respective) stimulations; and / or - to adapt to each other and / or to the user's state or phase of arousal.

[0139] For example, several stimulations can be selected in such a way (e.g. matching each other and / or the phase of the stimulation process) that a combination and / or sequence of these corresponds to a stimulation, effect and / or one or more goals, in particular the target state of the user, which corresponds (as well as possible) to the target.

[0140] For example, different stimulations are caused depending on (especially also to be understood as by) the different outputs of the neural network (especially also to be understood as: depending on the outputs of the interconnected neural networks).

[0141] Preferably, at least one neural network is trained and / or can be retrained to strive for and / or achieve and / or maintain a goal (e.g., a goal that can be specified by the user and / or the user's partner), in particular depending on specifications and / or feedback.

[0142] The objective may include or be, particularly with regard to a female user: - Approaching sexual climax; and / or - reaching one or more sexual climaxes, especially consecutive ones; and / or - Varying and / or maintaining sexual arousal; and / or - perceptions and / or feelings; - and / or - climax according to specific and / or identifiable characteristics; and / or - Fertilization or increasing the probability of fertilization, or avoiding or reducing the probability of fertilization.

[0143] Sexual climax is understood to mean, in particular, one or more specific (e.g., known from sexology) and / or determinable (e.g., achievable or configurable depending on specifications or feedback) types of climaxes, such as a clitoral and / or vaginal and / or uterine and / or anal and / or mammillary and / or mixed orgasm, or can be specified as a goal. Types of sexual climax are understood to mean, in particular, types (more or less pronounced) or distinguishable with regard to the user's perception, primarily induced processes, methods of attainment, duration, etc.

[0144] For example, a specific effect (e.g., so-called squirting or female ejaculation) and / or characteristics of a (subjective) perception or experience can be specified. For example, output data of the at least one neural network can then be generated that is directed, in particular optimized, towards appropriately supporting the stimulation (e.g., direct or indirect stimulation of Skene's glands and / or towards achieving the perception or experience according to definable characteristics).

[0145] The target may include or be, particularly with respect to the user's partner and / or a male user: - controlling and / or monitoring, in particular at least temporarily reducing sexual arousal and / or one or more vascular processes or vasodilation or swelling and / or endocrine processes or ejaculation; and / or - Prolongation of the duration of sexual arousal and / or sexual activity; and / or - approaching a sexual climax, whereby the approach and / or distance from the sexual climax occurs (once or preferably several times within or during the stimulation or use of the device); and / or - reaching one or more sexual climaxes; and / or - Procreation or the probability of procreation, or avoiding or reducing the probability of procreation.

[0146] The (male) climax is to be understood as one or more specific (e.g., known from sexology) and / or determinable (e.g., achievable or configurable depending on specifications or feedback) types of climaxes, such as a genital orgasm, prostate orgasm, and / or psychogenic, and / or erectile and / or mixed orgasm, or can be specified as a goal. Types of sexual climaxes are to be understood as (more or less pronounced) or distinguishable with regard to the perception of the user's partner or the (male) user, primarily induced processes, methods of attainment, duration, etc.

[0147] Particularly preferably, an effect, in particular a physiological, biochemical or endocrine effect and / or perception or experience (e.g. depending on settings, specifications and / or feedback from the user or the user's partner and / or interpretation of preferences, needs, wishes and / or intentions) can be created or designed. This can, for example, be carried out or achieved in several steps or specifications and / or feedback, which in particular build at least partially on one another. For example, new (e.g. significantly different from those typical for real stimulation) or combined types of arousal states, effects, perceptions, experiences or climaxes can be designed in the method, in particular (specifically or individually), in particular according to one or more characteristics that can be determined (e.g. in specifications or feedback). This can be done specifically or during use of the device (by laypersons).

[0148] For example, stimulation parameters and / or data or parameters of the user or the user's partner, each of which has led to one or more (preferably different) specific effects, in particular a sequence of effects, can be stored. This can take place in the form of or according to features of the already described sequence of effects and / or data sequences that depend on the data or parameters associated with the effects (e.g. first parameters, second parameters, stimulation parameters, etc.). Training, in particular retraining, and / or operation of the neural network can then be carried out depending on this data, with the aim of striving for, in particular achieving or maintaining, an effect (e.g. according to a description of the desired effect, in particular sequence of effects and / or desired change in the effect or sequence).

[0149] The goal or one or more intermediate goals, particularly with regard to the interaction (e.g. between the user and the partner), may include or be: - Prolongation of the duration of sexual arousal and / or the effect of stimulation and / or sexual activity; and / or - Adjusting the time intervals of approach to respective sexual climaxes, in particular synchronizing the time intervals of sexual climaxes; - and / or - Coordinating the effect, in particular maximizing the desired effect of the stimulation; - Reduction of one or more (specific and / or determinable) undesirable effects (e.g. processes, perceptions, feelings); and / or - Procreation or the probability of procreation, or avoiding or reducing the probability of procreation.

[0150] Alternatively or additionally, avoiding, reducing and / or limiting, in particular general, predeterminable and / or specific disadvantages or side effects can be considered or can be specified as an objective (e.g. as one of several objectives), in particular individually or collectively.

[0151] For example, a health risk (e.g. exceeding a certain threshold), damage, exhaustion, or overstimulation (e.g. to a degree specific or predeterminable for the respective user or partner) can be avoided, in particular reduced or limited to certain target values ​​(in this case, limit values). For example, a reduction in the strain on certain areas of the surface or volume of the body, in particular due to friction, pressure, deformation, fluctuations in blood pressure and / or pulse, or cardiac parameters (e.g. with the same intensity or improved stimulation), can be aimed for. In this case, a (specific, more effective, or optimized) aim, in particular the achievement or maintenance of goals, intermediate goals, or target values, can be carried out.

[0152] A goal may include or be one or more (e.g., successive) intermediate goals and / or (respective) target values. In particular, a goal or intermediate goal may relate to: - a stimulation, in particular a (specific) stimulation and / or stimulation of one or more areas of the surfaces or volume areas; and / or - a specific or determinable effect (in particular also to be understood as an effect comprising a physiological effect or effect and / or a perception or a perceptual effect), in particular with regard to (concerning) one or more (specific or determinable) areas of the surfaces or volume areas; and / or - one or more target values ​​(e.g. to be achieved step by step), for example related to one or more specific states or processes.

[0153] For example, at least one goal, in particular one or more target values ​​and / or one or more intermediate goals, can be recognized, in particular by means of or depending on a prediction, anticipation and / or simulation and / or interpretation (e.g., further data or parameters), and determined (set) or tracked as goals or target values ​​and / or intermediate goals. For example, these can be goals, intermediate goals or target values ​​that are determined or generated (in the same or a further generative process) depending on a prediction, anticipation and / or simulation and / or interpretation (described in detail below within the scope of this document) or depending on the result (e.g., data characterizing prediction, anticipation and / or simulation).

[0154] For example, it can be one or more goals or target values ​​or intermediate goals that have not been explicitly entered or stated. For example, the at least one neural network is set up, trained, in particular retrained, and / or operated to generate one or more goals and / or one or more intermediate goals and / or target values ​​(e.g. related to one or more processes) to strive for, in particular to achieve or maintain a goal. For example, based on the specification of one or more goals and / or possibly an intermediate goal (e.g. related to a process) and / or feedback, one or more intermediate goals and / or target values ​​(e.g. related to the same or another process) are generated.

[0155] The intermediate goals can be states and / or effects that are used as a basis for achieving further intermediate goals or the goal and / or for generating the information (e.g., for generating one or more stimulation sequences). For example, one or more further and / or updated and / or refined intermediate goals (with respect to the user and / or the user's partner), in particular a (e.g., completed, updated and / or refined) sequence of intermediate goals, can be generated based on an (optional) specification and / or (optional) feedback and / or on the determination of a goal or one or more intermediate goals (e.g., based on the interpretation of the specifications or feedback or independently of these). For example, (to strive for one or more goals) several (e.g., at least 2, 4, 8, 16, 32, 64), in particular each related to different processes, intermediate goals, preferably in the form of a data sequence (e.g.,Target sequence) are determined, generated or taken into account in the process.

[0156] For example, intermediate goals can relate to: - certain phases of arousal or points and / or sections on the arousal curve, in particular with regard to reaching and / or staying (duration, intensity, etc.) within the arousal curve; and / or - Tension curve, relaxation curve and / or activity pattern (e.g. of certain muscles or muscle groups, sphincters); and / or - one or more physical (e.g. physical, physiological, limbic, sympathetic, parasympathetic, biochemical or chemical, neuronal, endocrine, vascular) processes; and / or - Certain changes in the condition of one or more organs; and / or - Support one or more processes (e.g. according to certain dimensions); and / or - Causing or changing the parameters or effect of a physical, in particular endocrine, vegetative, sympathetic, parasympathetic and / or vascular process or system of the body; and / or - Activity of the nervous system, especially brain activity in certain areas of the brain; and / or - one or more emotional states and / or body language expressions, gestures, facial expressions, micro-expressions, micro-expressions, eye parameters corresponding to certain characteristics; and / or - Certain (first and / or second) parameters or (first and / or second) parameters corresponding to certain or determinable characteristics (e.g. parameter value ranges, relationships, patterns).

[0157] The term "target values" can refer to one or more parameter value ranges, relationships, or patterns related to one or more entries from the above list. For example, goals or intermediate goals can be defined by (respective) target values, particularly at one or more specific time intervals or excitation phases. For example, these can be characterized by a progression (e.g., a sequence related to a time variable and / or coordinates) or can be specified in the form of the respective target values ​​or sequence.

[0158] For example, first output data (e.g., concerning or characterizing a first stimulation sequence) can be generated or used to achieve at least one first intermediate goal. Second output data (e.g., concerning or characterizing) a further (second) intermediate goal and / or (e.g., updated) first output data (e.g., concerning a second, updated stimulation sequence) can then be generated or used to achieve the at least one or more further (second) intermediate goals.

[0159] The intermediate goals and / or stimulation sequences can be generated in such a way that one or more predetermined goals (e.g., as effectively as possible and / or with maximized benefits and / or minimized disadvantages) are pursued, and in particular achieved. Updating and / or refining the corresponding data sequences can also be performed as part of the generative and / or transformative process or can be counted among them.

[0160] For example, supporting stimulation can relate to one or more non-physical and / or physical (e.g., physiological, limbic, vegetative, sympathetic, parasympathetic, endocrine, vascular) processes, particularly those that are related (e.g., temporally and / or causally), particularly forming a cascade, such as those related to sexual stimulation or the course of arousal or the arousal curve. The intermediate goals can each relate to one or more of the (interdependent, conditional, or interrelated) processes.

[0161] These (e.g. predefined or generated intermediate goals or objectives) can be taken into account, adopted, aimed at or fulfilled (by causing, changing and / or supplementing the stimulation), in particular after the consent has been recognized and / or when it has been recognized that there is no change or objection on the part of the user or the user's partner.

[0162] For example, based on a (relatively) abstract input or specification of a goal and / or feedback, one or more (relatively) concrete, particularly qualitatively and / or quantitatively characterized target values ​​and / or intermediate goals (e.g., as a corresponding data sequence related to time or other parameters) can be generated. For example, an intermediate goal can be characteristic of (possibly some of several possible) phases, values, and / or intermediate steps for striving for the goal. One or more intermediate goals can be characteristic of one or more specific phases of arousal, approach to sexual climax, or one or more points or sections of the arousal curve.

[0163] For example, (e.g. first, in a first intermediate step and / or by a first neural network) a prediction, anticipation and / or simulation and / or interpretation of various data or parameters can be carried out. In doing so, data characterizing the result of a prediction, anticipation and / or simulation and / or interpretation can be generated. For example, (then, in a second intermediate step and / or by a second neural network) the same neural network (e.g. the first neural network assigned to the user or input of the neural network) and / or the further neural network (e.g. the second neural network assigned to the user's partner or input of the neural network) can be operated depending on the data, in particular data sequences characterizing the prediction, anticipation and / or simulation and / or interpretation.

[0164] For example, data, in particular output data or data sequences, can be generated that: - control signals can be used to effect the stimulation or as a basis (e.g. or input) for generating the control signals; and / or - are processed or can be used as a basis for generating and / or one or more media editions; and / or - are characteristic of one or more objectives, in particular one or more of the next objectives, target values ​​and / or intermediate objectives.

[0165] The (physical, body-related, physical) stimulation can be the stimulation of specific areas or volume areas of the body (e.g. of tissue areas, muscles, organs located on or under the epidermis or mucous membrane, in particular at a depth of several millimetres or centimetres) (e.g. by the user and / or the user's partner, in particular based on a description of the characteristics (e.g. in the specification or feedback) that can be determined.

[0166] In particular, this can involve (e.g., upper and / or lower) back, shoulders, buttocks, legs, feet, hands, in particular specific muscle strands, internal organs, and specific organ areas. For example, one or more specifications can be a (e.g., predominantly abstract and / or abstracted from concrete actions or physiological definitions) description of one or more desired effects or complaints (e.g., in therapeutic, sports, massage, or wellness applications) and / or a desired change (e.g., in feedback, for example, regarding a current or previous effect).

[0167] One or more goals, in particular intermediate goals or target values ​​(e.g. predetermined, determined, interpreted, generated) for the user herself and / or for the partner, can relate to: relaxation, improved blood circulation, swelling or adjustment of the swelling, activation of certain surfaces or areas of the body, and / or stimulation and / or regulation and / or coordination of certain processes, in particular stimulation of the production and / or secretion (equivalent to release) of endogenous substances or (certain or determinable by the user by specifying the desired effect) hormones and / or pheromones and / or (subjective and / or body-related) perceptions and / or body-related feelings or sensations.

[0168] In this case, the intermediate goals and / or target values ​​appropriate for achieving a (specifiable or predetermined) goal can be determined or generated in the method. These can be determined (e.g., data characterizing the goal, intermediate goals, or target values, in particular data sequences) or generated by operating the at least one neural network.

[0169] For example, at least one neural network is trained, retrained, and / or operated (e.g. based on the optional specification of a goal or a desired effect and / or change) to generate output data, in particular one or more output sequences that are characteristic of a (further) intermediate goal or several (further) intermediate goals. For example, several intermediate goals can relate to different perceptions, systems of the body (e.g. limbic, sympathetic, parasympathetic, endocrine, vascular system) or physical processes or parameters controlled by them. For example, one or more intermediate goals are generated in such a way that the goal can be achieved (e.g. in a way that is as efficient, fast, corresponds to a specification and / or feedback, or expedient (e.g. pleasing or in line with preferences)).The output data, in particular one or more data sequences that characterize the one or more intermediate goals, can be taken into account at an input of at least one neural network (e.g., the same neural network or a neural network connected to it). For example, the generation (e.g., of the one or more intermediate goals or target values) can include a corresponding optimization task or be a solution to the optimization task.

[0170] For example, the goals, intermediate goals or target values ​​can be determined depending on the following data (e.g. according to a specific dependency) and / or generated by the at least one neural network if the neural network is operated depending on the data or parameters listed below (e.g. depending on these determined or characterizing input sequences): - first data and / or second data; and / or - first parameters and / or second parameters; and / or - User inputs, specifications and / or feedback; and / or - Inputs, specifications and / or feedback from the user's partner; and / or - determined, predicted, anticipated, simulated and / or interpreted preferences, desires, intentions, actions, reactions and / or interactions (of the user or the user's partner, in particular in relation to each other).

[0171] For example, the goals, intermediate goals or target values ​​in the procedure can be adjusted or limited to desired or non-critical levels depending on the circumstances relevant to the health of the user or the user's partner (e.g. to avoid damage to health or excessive or undesirable strain on the user or partner).

[0172] The method may involve an interpretation of one or more inputs, specifications, wishes, intentions, actions, (e.g., conscious and / or unconscious) reactions, and / or interactions and / or feedback from the user or the user's partner. Preferably, this interpretation is specific and / or predictive and / or anticipatory. This allows for a specific or individually optimized effect to be achieved.

[0173] Preferably, the neural network is trained and / or retrained, and / or operated: - to interpret one or more inputs, specifications, wishes, intentions and / or feedback from the User and / or the User's partner; and / or - to predict, anticipate and / or simulate one or more wishes, intentions, states and / or goals of the user and / or the user's partner, in particular depending on the interpretation of the first data or first parameters, second data or second parameters, inputs, specifications and / or feedback; and / or - to cause stimulation depending on one or more desires, intentions, states and / or goals of the user and / or the user's partner; and / or - to generate or output a media output, in particular to support the stimulation; and / or - to operate an avatar as a partner of the user, in particular the avatar of the partner.

[0174] For example, inputs, specifications, wishes, intentions, and / or feedback that are complementary, appropriate, or mutually complementary, and / or non- or slightly contradictory (e.g., relating to the same time interval and / or from the user and the partner) can be given priority. For example, the input, specification, wish, or intention can then be met (at least partially or as far as possible) in the form of a media output, stimulation, or in particular an automatic action and / or reaction.

[0175] Preferably, the neural network is trained, in particular retrained and / or operated, to interpret and / or take into account implicit, abstract and / or inputs, specifications, wishes, intentions and / or feedback expressed by a desired effect and / or by one or more associations (e.g. comparisons and / or allusions), in particular to correspond to these (e.g. by stimulation and / or a media output).

[0176] For example, the neural network can be trained, in particular retrained and / or operated: - Inputs, specifications, wishes, intentions and / or feedback in the form of an abstract description, particularly relating to one or more desired and / or undesired effects or results and / or changes (e.g. representing a desired effect or change); and / or - physical movements, gestures, facial expressions, micro-expressions, especially in relation to oneself, the partner and / or an interaction (e.g. with the respective partner); to interpret, anticipate, simulate and / or take into account (in the process).

[0177] For example, the inputs, specifications, wishes, intentions and / or feedback (of the user and / or the user's partner) can be processed (e.g. interpreted, anticipated, simulated and / or taken into account in the procedure) in a linguistic form (e.g. voice or text), in particular using one or more adjectives, verbs, nouns relating to characteristics of a desired effect and / or the desired state or result and / or change.

[0178] For example, the stimulation can be performed depending on one or more specifications and / or feedback from the user or the user's partner (e.g., depending on a description of a desired perception, in particular an illusion, and / or a desired change) with respect to the perception, in particular an illusion. In this case, an adapted or specific perception, in particular an illusion, can be induced (with respect to one or more characteristics described in the specification or feedback).

[0179] One or more specifications and / or feedback and / or operating actions may be at least partially abstracted (from the technical and / or physical, particularly anatomical, characteristics) and / or specifications and / or feedback characterizing one or more desired characteristics of the desired functionality (e.g., feedback on a change). These may essentially relate to subjective and / or specific effects (e.g., subjective sensations), descriptions of the goals, intermediate goals or target values, and / or a fully or partially subjective description and / or concerns articulated fully or partially by means of gestures or movements.

[0180] The specifications and / or feedback and / or operating actions can refer to one or more previous stimulations, (e.g., fully or partially objective or fully or partially subjective) effects, goals, intermediate goals or target values. For example, (e.g., through the specifications or feedback), a desired difference can be achieved compared to the corresponding previous (e.g., previous or from a previous use), in particular (based on an operating action or recognition of a pattern) stored stimulations, effects, goals, intermediate goals or

[0181] Target values ​​can be specified. Specific or subjective effects (e.g., perceptions, sensations, perceptions) can also be handled.

[0182] The method can comprise assigning and / or training the names, in particular the names used or to be used in a specific context (e.g. nicknames, pseudonyms, etc. of the user and / or the user's partner), designating preferences, needs, wishes, intentions, actions and / or interactions. For example, these can be assigned when using the device (e.g. verbally and / or through a camera, in particular showing or articulating when one or more parameters are recorded with the device's camera). For example, the neural network is (thereafter) trained, retrained, and / or operated to recognize these, in particular to recognize them again, to use them, and to relate assignments and / or interpretations to them. For example, the user can thus (e.g. without further aids, programming knowledge, use of additional services or the like) make specific assignments (e.g.create links, connections). For example, body parts, poses, exercises, movements, processes, perceptions, (physical and / or non-physical) effects or effects (e.g. deviating from usual names or even those for which there is no established name, in particular specific) can be named and / or connections can be established between these and / or other body parts, poses, exercises, movements, processes (of the same person or the respective partner), perception-related logic, preferences, wishes, intentions, actions or interactions. This can be carried out based on the specifications or feedback and by training, in particular retraining, the at least one neural network. The names or connections learned in this way (e.g. links, logical or functional connections) can be taken into account or adapted (if or as long as desired or until a change is made).These can then be taken into account (e.g. in further operation), in particular when interpreting the inputs, specifications, wishes, intentions and / or feedback. For example, this can involve a specific and / or definable interpretation and / or implementation of the inputs, specifications, wishes, intentions and / or feedback. For example, certain types of stimulation and certain (e.g. expressed in a linguistic form) inputs, specifications, wishes, intentions and / or feedback can be assigned (to one another) or brought into a definable logical or causal connection. These can be taken into account in (further) operation (e.g. in the form of a prompt, in particular generated by means of the at least one neural network or by the system).

[0183] For example, the method may include a check and / or prediction (e.g. initial check, executable at specific time intervals and / or depending on specific conditions) with respect to: - Properties of the model or avatar resulting from, in particular, newly created or changed properties as a result of retraining; and / or - Behavior of the model or avatar (e.g. in relation to the user or the user's partner); and / or - a (qualitative and / or quantitative) measure of the (physical, emotional or psychological) bond (to the user or the user's partner); and / or - a (possibly undesirable, exceeding a certain level), in particular physical, emotional or psychological manipulation (e.g. by the model or avatar towards the user).

[0184] This can be carried out or implemented with respect to the model of the user's (current or potential) partner and / or the user themselves. In doing so, a check can be carried out with respect to a bond (e.g., particularly likely and / or potentially effective in the case of intimate, sexual, or psychologically effective stimulation), in particular a particularly strong and / or consequential bond (e.g., physical, emotional, or psychological bond) and / or illusion (e.g., in the case of the fully or substantially real user) and / or manipulation (e.g., of the user or the user's partner, in particular by the at least one neural network, model, or avatar).

[0185] For example, a prediction and / or verification and / or control and / or one or more measures related to a binding, illusion and / or manipulation can be carried out using at least one (or possibly another or interconnected with the neural network) neural network or module of the neural network. The evaluation or verification can be carried out, for example, by evaluating the actions, reactions or interactions and / or their changes over time (e.g., days, hours, weeks).

[0186] For example, one or more of the predictions and / or checks and / or controls and / or measures (described in the list above) are carried out using the simulated or virtualized stimulation (described in this document). This allows this to be carried out particularly quickly, reliably, and without conceivable consequences. For example, a further course of the binding, illusion, or manipulation based on changes formed, illusioned, or manipulated can be predicted using the simulation (e.g., for a period of several weeks or months). In other words, the binding can be tried out (in advance and safely), or the consequences of a binding can be assessed. Checks and / or controls and / or measures can then be carried out in advance.

[0187] For example, supporting the stimulation can include establishing and / or maintaining and / or maintaining a physical, emotional, psychological bond and / or controlling a bond between the user and the device and / or the partner's avatar and / or the user's (fully or partially real or fully or partially virtual) partner. For example, at least one neural network is set up, trained, in particular retrained, and / or operated to establish and / or maintain and / or control and / or maintain a physical, emotional, psychological bond and / or generate action information, effecting an action (according to generated action information) in connection with the bond.

[0188] The bond can involve an at least partially virtual being, partner, or avatar (e.g., between a fully or partially real user and an at least partially virtual partner or avatar of the partner). Since humans (laypeople) are largely unprepared for strong or physical bonds with virtual beings at this point in the development of civilization, this can be very advantageous.

[0189] The bond may be a bond that occurs in conjunction with or results from the stimulation or the effect of the stimulation (or other effects described in this document). The bond may be a bond that develops over several days, months, and / or years. The bond may, for example, include or be a (physical, emotional, or psychological) dependency.

[0190] As measures or characteristics of attachment or dependence, measures or characteristics known from psychology can be used or taken as a basis (e.g. in the case of bonds between real people or measures adapted to the relationship with a fully or partially virtual being).

[0191] Establishing and / or maintaining and / or controlling and / or maintaining a physical, emotional, or psychological bond and / or generating action information results in an action being taken in connection with the bond depending on one or more predetermined conditions (e.g., voluntary or determined or regulated by an organization, an ethics committee, etc.). For example, at least one of the conditions may involve the traceability or information (e.g., the issuance and / or verification or the issuability and / or verifiability of the information) about the ancestry or other conditions listed above of a model or avatar.

[0192] For example, it can be (at least partially automatically) verified whether and to what extent it is permissible and / or advisable for the user (e.g., with regard to certain standards, in particular rules, guidelines, laws). This can be done depending on the location (of the user or the user's partner) or the location (e.g., geo-coordinates) where one or more corresponding parts of the device are located.

[0193] For example, information about possible (e.g., desired or undesired) consequences of a (physical, emotional, psychological) bond can be output or can be output following (such) a review. Preferably, the method can include executing a (e.g., short-term, medium-term, or long-term) prediction and / or simulation (e.g., generating information characterizing the prediction) with regard to the bond, in particular the further course and / or consequences of the bond and / or the output or output of the information characterizing the prediction. Thus, potentially excessive and / or unnatural or undesired forms or consequences of bonds, in particular dependencies (excessively strong or beyond a normal level), can be prevented.

[0194] For example, supporting the stimulation can, among other things, (also) be aimed at or include one or more functionalities that are intended to (in an improved or understandable and conscious form for the user) establish and / or continue and / or maintain a physical, emotional, psychological bond and / or control over a bond and / or conformity and / or verification of certain (e.g., certain future, particularly ethical, moral and / or legal, norms, rules, guidelines, or laws proposed here by the inventor). For example, the method can include or be determining, in particular generating or outputting the information described above, (in each case expediently) adapting, restricting, or deactivating the functionalities described in this document depending on a specific or determinable selection of norms, rules, guidelines, or laws.

[0195] The procedure can involve a legal and / or moral assessment of the recognized and / or interpreted context, preferences, desires, intentions, actions, reactions, and / or interactions, or of a situation or overall situation defined according to predetermined criteria. Legally and / or morally dubious, impermissible, and / or problematic contexts, preferences, desires, intentions, actions, reactions, and / or interactions (e.g., when certain thresholds are exceeded) can be responded to, in particular, with one or more measures.

[0196] For example, at least one neural network can be set up, trained, and / or operated to perform a legal and / or moral and / or ethical assessment of the recognized and / or interpreted context, preferences, desires, intentions, actions, reactions, and / or interactions, or of an (overall) situation defined according to predetermined criteria, context, the first data or parameters, and / or second data or parameters. In doing so, assessment information and / or action information can be generated. These can be indicative of a result of the legal and / or moral assessment or of a subsequent action to be taken or brought about (fully or partially automatically or fully or partially by generating information for the user, partner, or other people).For example, depending on a legal and / or moral assessment, in particular assessment information, information, in particular a display, warning, and / or message (e.g., to a remote computing unit) can be generated and / or the functionality of the device (or system) can be restricted, in particular at least partially and / or temporarily deactivated and / or modified, in particular within the scope of the measure or in accordance with the measure information. For example, any offensive and / or improper use of the device can be detected and / or an (appropriate) measure can be initiated as a result.

[0197] For example, (one or more new) operating actions can be created (e.g., trained or retrained) and / or operating actions can be assigned to specific meanings. The operating actions can, for example, be carried out once or repeatedly or by changing a specific physical movement, a pose, muscle contraction or relaxation, gesture, facial expression, eye parameters, microexpression and an assignment by the user or the user's partner and / or an instruction to accept or cause the acceptance of the data determined thereby (e.g., features, patterns of the pose, gesture, facial expression, eye parameters, microexpression) as an operating action and / or assignment of a meaning (e.g., selectable or determinable by the user), in particular a specific instruction, specification or feedback to the device. For example, an operating action can (also) be assigned (through training or retraining) (e.g.,a desired assignment of the operating action to a desired effect, action, change, etc., trained or retrained), which causes specific feedback, input, or specification (e.g., those with a specific parameter) to the device. For example, a specific type or pattern of a smile, gesture, muscle contraction, or relaxation, or a sequence of these, can be assigned a specific meaning, in particular as a (specific or individual) operating action, specification, feedback, etc.

[0198] The method can comprise generating and / or setting up and / or operating a (possibly new or updated) model and / or avatar. For example, a model and / or avatar can be generated or created depending on a specification and / or feedback; and / or depending on characteristics of a (real or virtual) partner; and / or from characteristics that can be selected or combined (e.g. from a database). For example, characteristics of one or more real and / or virtual partners or already existing (e.g. selectable) models or avatars can be combined and / or modified (e.g. depending on specifications and / or feedback).

[0199] The generation, setup, training, in particular retraining, of the model or avatar can depend on an identification and / or linking with identification data of a respective person, in particular a real, partially virtual (i.e. at least partially real, at least partially virtual) or virtual (i.e. essentially, e.g. more than 90, 95, 99, 99.9% virtual) person. For example, the models or avatars can be traced back to one or more people (or other models or avatars on which they are based to a certain extent). In particular, this can be carried out to improve the traceability or predictability of the models or avatars, in particular those acting as agents. For example, the models or avatars can each have one, two or a plurality of parents (e.g. beings, depending on the data of which of these are generated, trained, in particular retrained), grandparents orAncestors in more than 4, 8, 16, or 32 generations and / or can be traced back to them. For example, one or more (e.g., effective in a certain respect) influences (e.g., in the form of weightings) of certain or certain characteristics of corresponding individuals on a model or avatar can be determined or can be determined. One or more of the further steps of the method can be executed or adapted depending on information relating to such ancestry of a model or avatar.

[0200] The method may include generating media outputs. These may preferably be: - be specific to the user and / or the user's partner and / or case-specific; and / or - depending on the condition, in particular the general physical condition and / or state of arousal and / or approach to or distance from the goal (e.g. a sexual climax) or an intermediate goal leading to a goal); and / or - have protagonists, characteristics of protagonists, roles, plots, reference to the real (e.g. recognized or predicted) actions, reactions and / or interactions of the user or the user's partner that are at least partially automatically selected and / or at least partially selectable through a specification and / or feedback from the user and / or the partner.

[0201] The one or more media outputs can be used to effect non-physical stimulation, in particular parts of stimulation (e.g., emotional, psychological, and / or cognitive stimulation) and / or as an assistance in stimulation, particularly in the context of sports or training (exercise) of the user or in the execution of exercises. These can be predominantly (specifically) generated, in particular with regard to their content, type, presentation, pattern, or the information used in the output.

[0202] The one or more media outputs can be output to support one or more stimulations to be supported or one or more types of stimulation (e.g. described in this document), preferably depending on the data or parameters determined and / or generated in the method.

[0203] The one or more media outputs can be generated by means of the at least one neural network (e.g., by at least one part of the neural network that is networked with other parts of the neural network). This is to be understood in particular as meaning that the media output is output dependently, in particular on the basis of the output data, in particular the output sequence of the at least one neural network (i.e., one or more parts of the same or of the neural network networked with the neural network). The one or more media outputs can include or be generated speech, images, image sequences, animations, video generated (more or less directly or from generated images) (e.g., a story generated in a media form and / or output in a perceivable form).

[0204] The medial output can be generated depending on the (machine-) learned relationships, particularly during training, particularly during retraining, in particular relationships between one or more (predominantly) physical and one or more (predominantly) non-physical processes or parameters, particularly relationships between (first and / or second) physiological, biochemical, endocrine, sympathetic, parasympathetic, vascular, etc., emotional, psychological and / or cognitive processes or parameters (e.g., in any combination). The medial output can be generated in the same, concurrent or at least partially overlapping and / or dependent generative and / or transformative process as the (other) output data (e.g., control information, adaptation information or setup information, etc., for example, concerning the actuators of the device).

[0205] For example, the media output can be characteristic, particularly representative or characterizing: - state and / or state change (e.g. sequence of states or state change); and / or - Effect of stimulation (e.g. one or more stimulations); and / or - Arousal, especially sexual arousal (e.g. change in arousal, arousal dynamics, reaching certain points or sections of the arousal curve); and / or - Progress towards achieving an intermediate goal or goal and / or distance from an intermediate goal or goal; of the user and / or the user's partner.

[0206] Alternatively or additionally, the media output may be characteristic of: - Recommendation for action, in particular instructions (e.g. on the execution of further stimulation and / or on achieving certain effects or goals, intermediate goals); and / or - Recommendation regarding mental concentration or concentration of perception; and / or - Meditation object, anchor, or focus object (e.g., as a sound, symbol, text passage, scent, etc.). The media output can encompass or represent a (material, immaterial, or abstract) object (for the user and / or the user's partner).

[0207] This can be done in particular with reference to a (specific or determinable) goal, intermediate goal, or target value range and / or can be used to create conditioning or as an anchor.

[0208] For example, the media output can include or be: - Visualization, in particular in the form of a generated graphic representation or images and / or (e.g. depending on first parameters and / or second parameters and / or on the basis of the (e.g. depending on parameters) generated images) generated moving images; and / or - auditory outputs, in particular sound patterns and sound representations. These can include or be, in particular, tones or melodies with variable parameters, in particular frequency, modulation, amplitude, rhythm, melody, and / or the perceptible position of the sounds or a sound source in space. These or their perceptible position in space (e.g., perceptible distance and / or direction) can indicate a meaning in relation to the circumstances characterized (represented) by them (e.g., according to the lists above); and / or - a speech output, in particular speech generated by at least one neural network.

[0209] For example, the media output can be characteristic of the current status (actual status) and / or progress and / or stimulation, action, change, mental and / or emotional concentration directed at the (respective) body or areas of the surface or volume of the body and / or processes, planning of further stimulation, and / or concrete support still required or recommended to achieve the intermediate goal or goal (expected or according to a prediction, anticipation, and / or simulation). The stimulation can be supported, in particular, within one or more of the contexts described in this document.

[0210] One or more perceptible media outputs (possibly different for the user and the user's partner or at different time intervals or phases of arousal) can be generated. This can be carried out towards the achievement of one or more goals, intermediate goals or effects (respective, related to the respective person or to both partners), in particular concerning or comprehensive physical states or processes. Thus, the media output can be generated to (further, additionally) support the stimulation. The one or more media outputs or the setting up and / or generation and / or operation of the avatar can be or are carried out (wholly or partially, in particular predominantly) using means of the device or means that can be or are operated in operative connection with the device (e.g. output means, loudspeakers, screens, VR means, etc.).

[0211] The method may comprise a combination, in particular generating an optimized combination of the (one or more) physical (physical, physiological or chemical or biochemical, etc.) stimulations with media outputs, in particular with the media outputs and / or appearances, effects, actions of the avatar or interactions with them selected, adapted and / or generated depending on the output layer of the neural network.

[0212] For example, media outputs or avatars (which complement each other and / or other types of stimulation or which change one or more effects of predominantly physical parts of the stimulation) can comprise auditory, visual and / or olfactory stimuli or patterns of stimuli that go beyond physical and / or tactile influences. The one or more media outputs or avatars can be generated and / or operated and / or output (e.g. made perceptible for specific or determinable human senses of perception) at least partially before, during and / or after the physical stimulation and / or dependent thereon. These can comprise or be (in an optimized manner) a suitable and / or complementary stimulation. For example, this can be generated to achieve a goal or one or more intermediate goals.

[0213] The stimulation, in particular one or more stimulations supplementing physical stimulation and / or media output, can be generated (e.g., within the same short time interval or to effect the same short time interval) depending on multiple outputs of the neural network. These can affect several different perceptual channels of the user or the user's partner (e.g., to effect multimodal stimulation).

[0214] In particular, initial parameters of the user, in particular parameters of arousal, effect of stimulation, approach to the target can be determined and then, in particular by means of generative or transformative creation or addition, one or more media outputs can be generated. For example, the media output can comprise or be a (coherent) action or story, in particular represented linguistically (e.g. as text and / or voice output), images, videos, or scents. One or more sections of the story can be generated depending on the (intermittently changing) first and / or second parameters. For example, further sections of the media output can be generated, in particular updated, depending on the effect of the previous sections on the user or the user's partner. In this way, the media output orThe avatar can react to changes in the (first and / or second) parameters or take these changes into account. For example, the one or more media outputs and / or the avatar (during operation) can be interactive in this way, particularly with regard to certain patterns or changes in the (first or second) parameters, particularly the dynamics of the parameters.

[0215] For example, the media output can comprise text and / or speech, in particular depending on the operation of the neural network or speech output or communication interaction generated by it (e.g. step by step) (with the user or with the user's partner, and / or one or more (preferably specific to the user and / or the user's partner and / or context) contents, sequences of contents, in particular coherent actions or a story. This can be a (generated) story or coherent actions that include, refer to or concern close interpersonal interaction, flirting, erotic elements, sexual acts and / or such associations (e.g. allusions or teasers).For example, one or more protagonists of the story can be identified by names, nicknames, and / or external characteristics, and / or clothing, and / or condition and / or behavior of the user and / or the user's partner, or can be made associable with them. For example, the media output, in particular a generated story, sequence of images and / or sounds, scents, and / or haptic stimulation, can be at least partially, in particular predominantly, interactive. For example, it can be specific and / or interactive with regard to the parameters, changes in state, processes, movements, actions, reactions, and interactions of the user or the user's partner.

[0216] For example, it can be a media output generated or output in an auditory, visual, haptic, and / or olfactory form. The media output can be a sequence of sensory perceptions and / or a story (e.g., supported by non-verbal influences or stimulations) or media content, in particular a (specific or individualized) film, generated by the neural network.

[0217] The media output can be media output generated by at least one neural network or, depending on the output layer of the neural network, in particular in the form of generated speech, images, image sequences, in particular videos, simulated tactile or haptic influences, in particular touches. For example, the media output (e.g., comprising a story as a sequence of (at least partially related) events or actions) can be output or can be outputted depending on the output sequence of the neural network. This can be a media output generated (specifically) for the recognized or predicted context, a specific user and / or partner of the user, current and / or predicted actions, reactions, interactions. The media output is particularly preferably generated as one of several stimulations, in particular as a stimulation in the combination or sequence of the stimulations (e.g.,as appropriate reinforcement or stimulation promoting the achievement of one or more goals or intermediate goals).

[0218] For example, depending on the current and / or predicted and / or anticipated or simulated parameters, contexts, desires, actions, reactions, and / or interactions of the user (with the device and / or with the partner) and / or the result of the training, in particular retraining, of the at least one neural network, a media output can be generated and / or an avatar (e.g., of the user or the user's partner) can be operated. This avatar can describe, comment on, and / or influence the event (e.g., in a predefined style and / or according to the predefined goal and / or the predefined effect), in particular from the perspective of an observer or storyteller.

[0219] The (resulting) stimulation may include or be a (preferably generative and / or transformative) supplement to self-stimulation by the user or to stimulation provided by the partner (directly, indirectly, or remotely). Alternatively or additionally, the stimulation may include or be a supplement to the stimulation of one or more areas of the surface or volume of the body and / or sense of perception by the stimulation of another area of ​​the surface or volume of the body or sense of perception.

[0220] For example, the procedure includes taking into account: - the state of health, general and / or slowly and / or cyclically or depending on specific events, variable (first and / or second) physical processes and / or corresponding data or parameters; and / or - Current (first and / or second) physical data or parameters, in particular heart data, blood pressure, breathing, saturation data, etc.; and / or - Current (first and / or second) emotional, psychological and / or cognitive state, in particular mood data, alertness data, concentration, neural activity, brain waves, attention, psychological relaxation or tension; and / or - Arousal data or data indicative of the perception or perceptibility of physical, psychological and / or cognitive stimuli; and / or - Parameters of the user's cycle (in the case of a female user) and / or the user's partner (if only or also the user's partner is female).

[0221] These and other data or parameters described in this document can optionally be expressed or processed in an objectified form, in particular in measures according to a scale and / or in a comparative form, in particular as measures of the differences and / or changes (e.g. marked as a difference, factor, coefficient) (e.g. compared to standard values, statistical values, previous values ​​(of the respective person) and / or to one another). For example, they can be (electronically or sensorily) determined values ​​or value sequences and / or (electronically) recorded information or values ​​interpreted by means of the at least one neural network. For example, at least some of the (first and / or second) data or parameters can be the result of an interpretation of the information (e.g. textual, linguistic and / or provided in a user interface).The interpretation and / or consideration of these can be carried out by means of the at least one neural network. These and other data or parameters described in this document can optionally be determined and / or processed in the form of data sequences (e.g. represented by corresponding tokens or token sequences). These can characterize a sequence of (qualitative and / or quantitative) changes in the respective parameter values ​​(e.g. over the course of time or in relation to one or more further quantities). For example, the one or more data sequences (described in this document) can relate to the course of time (e.g. a sequence of points in time), events, conditions (e.g. in relation to further parameters), to one or more areas of the surface or volume areas of the body (of the user).of the user's partner), to one or more further data sequences and / or to one or more further quantities.

[0222] Alternatively or additionally, such data (e.g. depending on historical data of the same or another type) can be determined with the at least one neural network or (e.g. depending on current data of the same or another type) can be predicted, anticipated and / or simulated for a previous time interval.

[0223] These and other data or parameters described in this document, in particular data sequences, can be used or taken into account in particular during training, retraining, and / or operation of the neural network (e.g., the data for training, in particular for retraining, or for operating the at least one neural network can be determined depending on these). This can be done in such a way that a stimulation, effect, or result of the stimulation that is specific (e.g., for the user and / or the partner), context, inputs, specifications, wishes, intentions, and / or feedback is brought about and / or a degree of achievement of one or more intermediate goals or objectives is increased.

[0224] Alternatively or additionally, some of the (first and / or second) data or parameters can be determined within or dependent on a health app or cycle app or such or corresponding data or databases. For example, physical characteristics (e.g. swelling, tension, relaxation), sensitivity, excitability and / or irritability of certain surfaces or body parts and / or perceptual changes or perceptual effects of the user and / or the partner that change over the course of the woman's cycle and / or depending on general physical data can be taken into account. Such data can be determined and processed in relation to one or more areas of the surface or volume areas of the body and / or points in time.

[0225] For example, one or more stimulation parameters, combinations of stimulations (e.g., of various types, particularly physical and non-physical parts of the stimulation), etc., can be determined or adjusted according to one or more predeterminable goals. For example, this can be done to improve, particularly optimize, the achievement of the goal or to avoid or reduce, particularly minimize (e.g., certain, determinable and / or data-determined) undesirable effects.

[0226] The desires, intentions, actions, reactions, and / or interactions described in this document may be understood as such, particularly in the context of a particularly close, intimate, physical, and / or sexual interaction, a one-sided or mutual massage, a tantric practice, meditation, and the like. These can be determined, predicted, anticipated, simulated, or processed using objective or comparative measures or scales.

[0227] The one or more features of the method or device, system, or functionalities described in this document may (respectively or selectively) be features that are specific to respective, certain, or corresponding to certain features: users, users' partners, contexts, desires, intentions, actions, reactions, interactions, physique, age, sexual orientation, a general physical condition, arousal state, psychological state, cognitive state, and / or type of stimulation. This can be achieved by specifically training, in particular retraining, and / or operating at least one neural network (also to be understood as a joint neural network or one for the user's and partner's device) or parts of the models or avatars described in this document.

[0228] Particularly preferably, the at least one neural network, (first and / or second) model and / or (first and / or second) avatar is or is trained, in particular retrained, and / or is retrainable and / or is operated to support the stimulation of the user and / or the user's partner which is specific for respective, certain or corresponding to certain characteristics: users, users' partners, contexts, wishes, intentions, actions, reactions, interactions, physique, age, sexual orientation, a general physical condition, state of arousal, psychological state, cognitive state, and / or type of stimulation. In this case (e.g. starting from a common basis as a product type or hardware), a high, in particular almost unlimited number of specific, individual and / or adaptable to individual characteristics, in particular retrainable devices or functionalities can be provided.

[0229] In particular, the user or the user's partner can generate new, especially always new (e.g., specific to them or optimized for them) stimulations, effects of the stimulations, experiences, and / or functionalities. For example, a neural network, model, and / or avatar trained in this way can be made available (e.g., shared, exchanged, or marketed) to other users or partners. In particular, neural networks, models, and / or avatars or functionalities trained in this way belong to the scope or to separate aspects of the invention.

[0230] Supporting the stimulation can involve operating the device (at least partially, predominantly, in particular essentially only) depending on the information generated (with the at least one neural network, models, avatars). The information can be one or more parameters, in particular data sequences that represent a combination, distribution, or progression of the parameters of the stimulation (e.g., to be effected with one or more actuators of the device). The corresponding data can be generated by means of a generative and / or transformative process.

[0231] In particular, the generation described in this document may (in each case, selectively) be a process in which the information generated (at the output of the neural network) contains almost no or little (e.g. less than 1, 2, 5, 10, 20, 30%) of the original information (e.g. the information, in particular input data at the input of the neural network with which it is operated) or corresponds to this; and / or comprises a high proportion (e.g. more than 60%, 80%, 90% or a factor of 2, 5, 10, 50, 100) of the information, in particular the information content, which is new (e.g. in comparison to the information, in particular the input data at the input) and / or does not correspond to the information at the input.

[0232] The data for effecting the stimulation at the output layer of the neural network (e.g., for determining the control data for controlling one or more actuators of the device and / or media outputs or for operating one or more first or second avatars) can be generated as a transformative addition to the input data determined based on the first data or parameters and / or the second data or parameters. For example, the input data can be characteristic of a (current, predicted, and / or anticipated) context, action, reaction, and / or response (of the user or partner), or other characteristics of various circumstances described in this document.

[0233] The at least one neural network described in the present document preferably comprises a generative pre-trained transformer (GPT); and / or a generative adversarial network (GAN); and / or a generative, application-oriented, predictive, in particular statistical model, preferably a KL model (e.g. of the user and / or the user's partner) and / or; a large language model (LLM) (this is to be understood in particular as a reduced or application-related or specialized version of a large language model or a small language model (SLM)); or is configured on the basis of such a network, or forms an essential part of such a network. For example, the at least one neural network can comprise or be a combination or interconnection and / or a hypernetwork based on one or more of the above-mentioned types of neural networks or parts (e.g., modules or layer areas) thereof.

[0234] For example, the one or more neural networks are (each) a specific, trained, in particular retrained model for certain persons corresponding to certain characteristics (e.g. the user or the user's partner or the pair consisting of the user and the user's partner); or a model that is built on the basis of one or more such neural networks and / or is or can be operated by such a neural network.

[0235] The transformation can be carried out depending on the specification and / or feedback of the user and / or the user's partner, in particular depending on a result of the processing, in particular interpretation of several specifications and / or feedback (e.g. user and / or partner) and / or the (e.g. in an optional step recognized, predicted, anticipated and / or interpreted inputs, specifications, wishes, intentions, actions or interactions).

[0236] Preferably, the operation of the at least one neural network, in particular of the model or avatar, comprises a generative and / or transformative process (so-called "generation") (influenced, controlled, stimulated, or prompted by the operation). In this process, control data, adaptation data, and / or setup data for operating the stimulating device can be generated. The control data can be characteristic of one or more parameters of the stimulation (to be effected) or the desired effect. In particular, the control data can characterize, include, or take into account the sequence of effects described in the present document.

[0237] When operating the at least one (first and / or second) neural network, in particular by carrying out a transformative supplement, wishes, intentions, actions, reactions and / or interactions of the user and / or the user's partner can be predicted, anticipated and / or simulated. Thereafter (or e.g. in the case of end-to-end training), the stimulating device can be operated depending on the (e.g. in the form of a first output sequence) predicted, anticipated and / or simulated wishes, intentions, actions, reactions and / or interactions of the user and / or the user's partner (e.g. appropriately, complementarily, in a manner conducive to achieving the goal). Alternatively or additionally, the data (e.g. the first output sequence) which is a result of the prediction orThe predicted, anticipated, and / or simulated wishes, intentions, actions, reactions, and / or interactions of the user and / or the user's partner are taken into account at an input of the neural network (e.g., one of the parts, in particular modules or layer areas of the neural network). These can be used, for example, to operate the neural network.

[0238] Preferably, this can be done by operating the Generative Pre-trained Transformer described in detail in this document.

[0239] The action, reaction, and / or interaction preferably involves an action during stimulation or in the context of the specific stimulation, in the context of the user's partner's participation, and in particular, a reaction to an action of the partner. These can include or be actions, reactions to the (respective) partner, their actions, reactions, state, stimulation, or physical activity of the partner.

[0240] The interaction between the user and the partner can be understood as actions and / or reactions that are temporally and / or causally or coincidentally related, or dependent on another common cause or occurrence.

[0241] For example, the first neural network and / or the second neural network, or the first model of the user and / or the second model of the user's partner, is trained, retrained, and / or operated (e.g., depending on the initial data from the past) to predict, anticipate, and / or simulate a desire, intention, action, or reaction of the user and / or partner, in particular an interaction. The result of the prediction, anticipation, and / or simulation can then be incorporated into the process.

[0242] The (first) model of the user may include, be and / or represent: - an action model, in particular concerning the user's actions; and / or - a reaction model, in particular concerning the reactions of the user, in particular to one or more stimulations and / or actions of a partner corresponding to a certain or certain characteristics, in particular the user's partner; and / or - a behavioral model, in particular concerning the behavior of the user, in particular her behavior towards her partner and / or intimate or sexual behavior.

[0243] For example, the model can be trained on the basis of one or more relationships and / or represent them: - a first relationship between parameters of the stimulations and the parameters of corresponding effects; and / or - Change of the first context within a use and / or within a time interval (e.g. days, weeks) of use of the device.

[0244] For example, the change in the effect of approximately the same or similar parameters over a period of time (e.g. days, weeks) can be regarded as the change in the second relationship.

[0245] In particular, it may be a model trained and / or representing parameters (e.g. specific to the user and / or the user's partner) relating to the properties of physiology, nervous system, activity of certain brain areas, well-being, psychology, perception and / or relationships between the parameters.

[0246] For example, the (respective) model can be trained based on one or more (respective) relationships between physical, physiological, or psychological parameters (e.g., from stimulation, measurement stimulation, and / or test exposure) and the corresponding parameters of the effect, and / or represent these. The (second) model of the user's partner can be trained, retrained, and / or used in an analogous or complementary manner.

[0247] This may be a statistical and / or dynamic model, in particular a model designed as part of the at least one (respective) neural network and / or formed or operated by one or more parts of the neural network, in particular an application-oriented model.

[0248] The training, in particular retraining, of the at least one neural network described in the present document can comprise the training, in particular retraining, of the (respective) model (e.g. one or more modules, layer areas of the model) or of the avatar (e.g. operated by the respective model) or have its or the same or corresponding features.

[0249] Particularly preferably, the first model and / or the second model is specific, in particular specific to the respective user and / or partner of the user, in particular trained or retrained on the first data concerning the user or the first parameters of the user and / or second data concerning the user's partner or the second parameters of the user's partner, and / or in each case: first and / or second: preferences, physical parameters, wishes, intentions, actions, reactions, interactions.

[0250] The first model and / or the second model may refer to certain persons or persons corresponding to certain characteristics (e.g. the specific user or the specific partner of the user) or may be specific to them (in particular also be understood as optimized).

[0251] Alternatively or additionally, the first and / or second model may refer to the pair (e.g., a specific user and a specific partner of the user) of the user and the user's partner, or may be specifically optimized for them, in particular, by the pair. In this case, it may be a joint model. This may, for example, be used to operate the first device and the second device.

[0252] Particularly preferably, the (first and / or second) model or avatar refers at least primarily to close physical or intimate, sexual actions, reactions, interactions, flirting, partnership or corresponding circumstances or is specialized, optimized, trained and / or retrained for these.

[0253] The first model of the user and / or the second model of the user's partner can be or form a part (e.g. module or layer area) of the at least one (respective) neural network or a hypernetwork and / or operate the (e.g. common or respective) neural network or be configured to operate the neural network (e.g. another part of the neural network).

[0254] The (first) neural network or the model of the user and / or the (second) neural network or the model of the user's partner can be trained, in particular retrained, depending on one or more relationships (e.g., specific to the user or at least approximately applicable to the user) and / or represent such relationships (e.g., due to the training applied, in particular retraining). This is to be understood in particular in such a way that the neural networks, models, or avatars described in this document have learned or (thereby) represent various, in particular specific (e.g., relating to the physical and / or psychological, in particular medical, sporting, or sexual context) relationships during training or retraining.

[0255] Preferably, the model can be set up, trained, retrained, and / or operated to predict, anticipate and / or simulate current or expected relationships between different states and / or between states and wishes, intentions, actions, reactions, interactions of the user, the user's partner or in relation to the couple consisting of the user and the user's partner.

[0256] The one or more relationships can be relationships (e.g. correlations and / or causalities) between: - one or more (e.g. related to one or more specific areas of the surface or volume areas of the body), permanently valid or current physical, physiological, sympathetic, parasympathetic, endocrine or vascular processes or parameters of their states; and / or - one or more (e.g. related to specific topics or contexts) non-physical characteristics, in particular emotional, psychological processes or states, in particular mood; and / or - one or more cognitive states or processes (e.g. cognitive processes or states related to certain memories, associations, thoughts; and / or - Desires and / or intentions and / or actions and / or reactions and / or interactions.

[0257] For example, the (respective, first and / or second) model can be trained, in particular retrained, and / or operated depending on: - several such relationships, in particular those forming a causal hierarchy or chain (e.g. more than 2, 4, 8, 16, 32, 64, 128, 256, ...); and / or - to represent, predict, anticipate and / or simulate a higher-order relationship between several such relationships.

[0258] The trained, in particular retrained, neural network or model can comprise, represent or execute a so-called approximation, whereby in particular a simplified, model-like and / or mathematical relationship (logic, formula, parameters and / or patterns) representing the respective relationships is appropriately selected, adapted, trained or updated; and / or the mapping of one or more of the relationships is executed by approximation.

[0259] For example, the model may exhibit a certain (physical, psychological and / or cognitive) state, arousal, desire, intention, an approach to a goal or the distance from a goal and / or cause the execution of an (e.g. corresponding or state, arousal) action and / or interaction and / or generate a (e.g. state, arousal, desire, intention, approach to a goal dependent) media output.

[0260] As a result, such relationships (known from science as being very complex), particularly with regard to female sexuality and / or perception (through the neural network according to the invention), which are particularly person-specific and / or complex, can be learned and / or taken into account particularly well.

[0261] The training (of at least one neural network, model or avatar) can be carried out depending on: - Stimulation data which are characteristic of one or more stimulations (e.g. in the past) which were caused wholly or partly by the device and / or wholly or partly by natural stimulation (e.g. by the partner or self-stimulation of the user); and / or - Result data indicating a resulting (subsequently determined) effect, in particular concerning physical, psychological and / or cognitive parameters and / or sexual arousal and / or approach to climax and / or reaching climax by the user.

[0262] Alternatively or additionally, the second stimulation data concerning the user's partner and / or second result data may be taken into account, which relate in particular to the same (respective) stimulation (e.g. the same or subsequent time interval).

[0263] For example, one or more undesirable effects, in particular side effects, can (also) be detected and / or taken into account in the procedure (e.g. in the same way as the result data).

[0264] Particularly preferably, at least one neural network, the (first) model and / or (first) avatar of the user, the (second) model and / or the (second) avatar of the user's partner are specifically trained, in particular retrained, and / or operated.

[0265] The term “specific” can be understood in the context of the present document as: at least partially, in particular predominantly specific, in particular for one or more specific and / or specific (e.g. narrowly defined or identifiable) characteristics (e.g. data, parameters, patterns) corresponding to: - User, in particular specific to the User; and / or - Partner of the user, in particular specifically for the person of the user's partner; and / or; - Couple or team comprising the user and the user’s partner; and / or - Areas of surfaces or volumes of the body of the user or the user’s partner; and / or - physical, particularly physiological, physical, limbic, vegetative, sympathetic, parasympathetic, and / or vascular systems or processes; and / or - emotional, psychological and / or cognitive characteristics; and / or - parameters of a context, a scene, and / or use of the device; and / or - preferences, needs, desires, intentions of the user, the user's partner or the couple or team comprising the user and the user's partner; and / or - one or more uses of the device in the past; and / or - actions, reactions, interactions; and / or - Stimulation of the user and / or the user's partner without a device (e.g. by a real person, e.g. the partner, another and / or fully or partially virtual partner).

[0266] Specific can be understood in particular as functionality (e.g., specific to one or more of these conditions), in particular parameters and / or logic of the functionality. In particular, such functionality can be established (at least partially automatically) due to the training, in particular retraining, and / or operation of the neural network or by generating the adaptation information or setup information in the process. The term "specific" is to be understood in particular as approximately specific or up to a certain (appropriate) tolerance value, or as having a significant specific component.

[0267] In particular, this document assumes that the user and / or the user's partner are unique (e.g., scientifically, particularly physically, anatomically, medically, endocrinologically, sexologically, psychologically, cognitively, with regard to their respective previous experiences, preferences, desires, and / or intentions). In particular, the characteristics or features (e.g., objective or objectified measurements) or the corresponding data related to their (specific) person, in particular their personality, are considered unique.

[0268] Therefore, the (specific) training, in particular retraining, and / or operation of the neural network or its models and / or avatars (which may, for example, be wholly or partially specific to them, in particular may represent specific features) results in particular advantages.

[0269] For example, the stimulations can be specific and (e.g., almost every time) unique. In particular, this can be understood as: - for different users or different couples with less probability than 10 -1 , 10 -1 , 10 -3 , 10 -4 are the same or very similar; and / or - from one use of the device or procedure to another with less than 10 -1 , 10 -1 , 10 3 , 10 -4 (exactly or in the same or very similar form).

[0270] This can occur (as a result of training or retraining, determining or collecting the data described in this document) after at least 5, 10, or 50 uses. For example, the device can be designed to adapt or optimize itself automatically, entirely or at least partially (e.g., after it has been delivered to the user or end user or has been put into operation). In this case, (through specific training, learning of specific relationships or assignment of dependencies), the device can become a specific or individual product (e.g., after a phase of training or operation, in particular step by step through retraining) or (specifically) change or optimize its features or range of functions.

[0271] The follow-up training described in this document preferably takes place at least in part after delivery of the device or during or in conjunction with (e.g. almost during) use of the device (by a specific user and / or a specific partner of the user).

[0272] The term action can be understood as an action or a change of an action (e.g. benefit towards the partner), in particular: - new or changed relative body position, pose, movement, movement pattern, intensity of a previous movement or action; and / or - stimulation performed by the individual or by the partner. This can be characterized by a type and / or parameter value range of the stimulation; and / or - Contraction or relaxation of muscles (e.g. with an effect on the user or the user's partner); and / or - physical action, in relation to an object, oneself or the respective partner; and / or - Communication (e.g. with the respective partner, model or avatar of the partner).

[0273] The action may include or be an action effected with or by means of the device or system (e.g., fully or partially automatic), in particular an action supplemented by the device or system. The terms "body position, pose, movement, movement pattern" are to be understood in particular in the (respective) context of the use of the device or the specifics of the application.

[0274] The term reaction is to be understood in particular as an action (of the user) in response to an action (e.g. a specific reaction) of the partner or due to the action of the partner (e.g. an action with a temporal and / or causal connection with the action of the partner) and / or a reaction to a new or changed stimulation.

[0275] Alternatively or additionally, an action or reaction may include or be a communication, for example an attitude (e.g. expressed through body language, speech, gestures, facial expressions, micro-expressions, symbols, physical action) and / or communication (e.g. consenting, rejecting or commenting).

[0276] The term interaction can encompass a sequence of actions and / or reactions. This can involve a combination of physical and non-physical actions or reactions. For example, communication or communication interaction (e.g., related to physical stimulation) can be considered an interaction.

[0277] The assisted stimulation may include or be a stimulation, action, reaction and / or interaction that is at least partially automatically induced or assisted.

[0278] The stimulation sequence described in this document (in particular also to be understood as a stimulation section) can in particular characterise, comprise or be: - one or more actions, in particular as a stimulation sequence as an action (e.g. in relation to the user herself and / or the user's partner); and / or - one or more reactions, in particular as a stimulation sequence as a reaction (e.g. to the action of the user herself and / or the user's partner); and / or - one or more interactions (e.g. causing a specific interaction of the device with the user or supporting a specific interaction).

[0279] The sequence of effects can in particular characterise the corresponding effects.

[0280] A simulation sequence can, for example, be short (less than one second) or last several seconds or minutes. It can characterize a quantity, particularly one representing (absolute or relative) time, one or more specific events and / or conditions (e.g., phases of excitation, processes), etc., or a sequence of parameters (e.g., progression of parameter values) of the stimulation related to it. Such handling can be particularly advantageous with regard to neural networks due to the dynamic and / or interrelationships between processes and the data characterizing them.

[0281] For example, the method for supporting stimulation may include supporting one or more exercises, particularly those generated or adapted (e.g., specifically generated or adapted) for the user and / or the user's partner. The design and / or execution of exercises or preparation for any type of stimulation may be supported.

[0282] The support of the exercises can be carried out depending on the neural network or model of the user or the user's partner (i.e. data generated by them). The exercises can be exercises for a (permanent, long-lasting after use of the device) improvement of the physical, physiological, psychological and / or cognitive state, in particular fitness and / or training (e.g. otherwise difficult to access areas of the surface or volume of the body and / or processes that are difficult to (consciously) control) and / or perception ability, perceptual system, ability to concentrate, mindfulness, activation of erogenous zones, practicing or training (specific or determinable) skills (of the user and / or the user's partner). For example, the exercises can serve to permanently improve the user's own skills and / or in the medium term increasingly less and no support from the method (e.g.B. through artificially generated stimulation).

[0283] For example, one or more exercises (each primarily) may relate to improving the condition, activating, training or operating one or more (specific or corresponding to specific characteristics) areas of surfaces or volumes of the body or corresponding goals.

[0284] For example, one or more exercises may (partially, especially primarily) relate to: - Perceptibility or ability to perceive, excitability, alertness, stimulability, performance, one or more effects (e.g., achievable with one or more specific stimuli). This may relate (partially, particularly primarily) to one or more (specific or corresponding to specific characteristics) areas of the surface or volume of the body; and / or - Striving for and / or achieving certain (e.g. predominantly physical and / or predominantly non-physical) states (e.g. deep relaxation, arousal, swelling, one or more variants of sexual climax, etc. and / or certain emotional, psychological and / or cognitive states) and / or supporting one or more processes or intermediate goals or target values ​​associated with them.

[0285] For example, one or more exercises may be aimed at striving for and / or achieving a sexual climax of a certain type and / or according to definable characteristics or at improving the ability to achieve and / or perceive it better (e.g. more intensely, longer, repeatedly, etc.).

[0286] For example, such an exercise may include one or more of the following (arbitrarily combinable) steps: - Effecting several different stimulations or executing stimulation sequences or effect sequences (e.g. on one or more (different) areas of the surfaces or volume areas of the body, in particular in combination with a media output or with the operation of the avatar. These can be characterized by different and / or time-varying stimulation parameters for different areas of the surfaces or volume areas and / or can be executed in different contexts, first parameters and / or second parameters. This can be done by means of stimulation, measuring stimulations and / or test effects; - Determining the parameters of one or more (respective, corresponding) effects and / or reactions (e.g. reaction data) of the one or more stimulations, in particular parameters of one or more physical, physiological, psychological and / or cognitive effects. The effects can, for example, relate to one or more parameters (measures) of tension, relaxation, perceptibility, arousal, blood flow or swelling, neuronal activity or changes in tension, relaxation, perceptibility, arousal, blood flow or swelling, neuronal activity. The different effects or measures and / or their significance can be varied depending on the respective context, objective and / or current application of the method or device. Alternatively or additionally, a measure of the effectiveness of the (e.g. several different) stimulations can be determined; - Varying stimulations (e.g. stimulation sequences, measurement stimulations or test effects) and / or repeating stimulations during the same and / or spaced uses of the device; - Determining and / or training, in particular retraining, one or more relationships, in particular: - a first relationship between parameters of the stimulations and the parameters of corresponding effects or reactions (e.g. reaction data); and / or - Change in the first context within a use and / or within a time interval (e.g. of one or more days, weeks) of use of the device or corresponding stimulations;

[0287] For example, the first relationship and / or second relationship can be determined in the form of a gradient, pattern, or trend, in particular, recognized and / or taken into account in the method. For example, the change in the effect of approximately the same or similar parameters over a period of time (e.g., days, weeks, months) can be considered the change in the second relationship. - Depending on the parameters determined during the execution of one or more previous steps and / or the first context and / or the second context: - Training, in particular retraining, of the neural network or model or avatar can be adapted or carried out; and / or - Determining or generating (new or updated) control information (for the current process) and / or (new or updated) adaptation information for adapting the device and / or (new or updated) setup information for setting up the device, in particular for one or more further steps of the exercise or further operation. - In particular, an output to the user can be performed based on the first context and / or the second context. This can be an information output or a media output described in this document. For example, the first context and / or the second context can be graphically represented or visualized, in particular as a measure of corresponding progress and / or further intermediate goals.

[0288] Alternatively or additionally, instructions, particularly graphical, animated, and / or auditory (e.g., with descriptions of recommendations, poses, movements, etc., and / or health information, etc.), can be generated and / or displayed for the user. The instructions can be generated, at least in part, specifically for the user and / or the user's partner. These instructions can also relate to the current and / or one or more steps of the exercise and / or stimulation. - Determining and / or taking into account one or more physical (e.g. physical, physiological, etc.) and / or non-physical changes and / or feedback from the user (e.g. on one or more exercises and / or on one or more changes); - Determining and / or generating and / or initiating, in particular effecting, one or more subsequent steps of the exercise, in particular the parameters (e.g., recommended contexts, stimulation, type and / or intensity and / or number of repetitions of certain exercises). In doing so, (updated) output data characterizing the exercises can be generated.

[0289] For example, information (e.g. initial data, initial sequences) characterizing a program from several exercises can be determined or generated, in particular step-by-step and / or interactively. For example, parameters, sequence, number of repetitions of the exercises can be generated depending on the operation of the neural network or the model or the avatar. For example, such data on the exercises and / or the program from several (e.g. at least 5, 10, 50, 100) exercises can be generated depending on a (specific or determinable) goal, in particular an intermediate goal and / or one or more target values. These can be optimized, for example, for striving for, achieving or maintaining the goal or target value and / or the speed of progress or target date, impact on another physical condition, and / or time required, in particular overall for one or more intermediate goals or the goal.

[0290] For example, the method may comprise generating and / or outputting information characterizing specific exercises and / or selecting and / or modifying exercises.

[0291] For example, one or more exercises may include or be physical and / or psychological and / or mental exercises (e.g., visualizations, objects of concentration, information and / or focal points of attention on which the user can concentrate, changes in mental attitudes, conditioning, etc.). For example, the information may include instructions, particularly in the form of generated images, image sequences, texts, voice output, etc., for individual exercises or further exercises, particularly with regard to striving for, in particular achieving and / or maintaining, one or more goals, intermediate goals, or target values.

[0292] For example, they may include or be (specific) exercises of the pelvic floor muscles (for the user and / or the user's partner) or exercises to improve control over (one's own) sexual arousal and / or one or more vascular processes or swelling and / or endocrine processes or ejaculation.

[0293] For example, the exercises may be designed to increase the likelihood of fertilization, improve the course of pregnancy or childbirth, and / or support corresponding physical or non-physical processes. The fertilization described in this document may involve entirely or partially natural fertilization and / or entirely or partially artificial insemination.

[0294] The models or avatars described in this document can be configured and / or operable or operated according to one or more characteristics described in this document. This can be done for one or more purposes described in this document, to pursue or achieve one or more goals, intermediate goals, or target values, and / or according to one or more modes of action described in this document. These models can be (at least partially) specialized and / or (at least partially, in particular specifically) restricted to the use described in this document.

[0295] All aspects of the invention can be combined with each other as well as with the described features and modes of action with each of the aspects of the invention.

[0296] The at least one (e.g. first and / or second) model may be a technical (e.g. set up and / or executable or operable with technical means, in particular computer-implemented and / or learnable) model (AI model).

[0297] In particular, a model or avatar (e.g. certain actions of the model or avatar) is not or not directly and / or consciously controlled by the user, the user's partner or any real person and does not have to be controlled. In particular, it can act (according to the relationships trained, in particular re-trained) or interact (with a fully or partially real user, partner of the user or model or avatar of the respective partner). The acting or interacting can therefore take place in a fully or partially simulated and / or virtualized manner. In particular, the model can interact through the device or through the avatar with (a fully or partially real user, in particular with one or more of their senses and / or processes, in particular with physical and / or non-physical processes of the user).

[0298] Preferably, a model or avatar is not controlled by the person represented by it during its execution (e.g., within the scope of one or more procedures described in this document), or at least not when supporting the stimulation (e.g., when generating the stimulation content, adjusting the parameters of stimulation sequences). In particular, these persons are not or do not have to be controlled (at least predominantly and / or temporarily) by the person imitated and / or represented by the model or avatar (at least partially).

[0299] Rather, one or more (first and / or second) models or avatars (e.g. based on the correspondingly configured artificial intelligence) can be executed and / or act (e.g. interact with each other or with real people) and / or support the stimulation partially or completely independently of any (e.g. explicit and / or intentional) control or influence by the user and / or the user's partner or one or more real people.

[0300] For example, one or more first models or avatars, and / or one or more second models or avatars can be realized with a neural network or a part of a neural network, in particular an application-oriented model and / or generative pretrained transformer formed or operated with the neural network.

[0301] The method can comprise the use of (appropriately configured) trained (in particular to be understood as pre-trained, “pretrained”) neural networks, models or avatars and / or training (in particular to be understood as retraining) neural networks (e.g. one or more first neural networks and / or one or more second neural networks), models or avatars. This can be carried out depending on the data characterising (previous) stimulations and / or exercises of the user and / or the user’s partner (e.g. the effects achieved thereby).

[0302] In particular, stimulations can also be carried out regarding specific (second, third) persons, contexts, situations, topics, roles, needs, desires, intentions, actions and / or interactions or perspectives.

[0303] The at least one avatar can be trained, educated, or retrained to represent specific or determinable (e.g., selectable or chosen by the user or the user's partner) characteristics, e.g., a (determinable or changeable) selection of characteristics of the user and / or the user's partner, or to act and / or interact accordingly. The characteristics can include or be visually, acoustically, haptically, and / or gustatorily perceptible characteristics (specific to the respective person), or characteristics related to knowledge, behavior, or conduct.

[0304] The term “acting” in the context of this document refers in particular to the acting of the user or the user’s partner and / or acting (e.g. of the avatar, the model or the device) towards the user or the user’s partner. The term “reacting” can include or be a reaction of the user or the user’s partner to a stimulation or to the acting of the respective partner or the avatar, the model or the device. The term “interacting” in the context of this document can be understood in particular as mutual acting and reacting, in particular as a sequence of mutual acting and reacting. The acting, reacting or interacting can, for example, (respectively) include or be a stimulation of the user (e.g. in relation to themselves) or in relation to the user’s partner. The acting, reacting orInteractions can be characterized (represented, displayed) and / or processed in the form of the corresponding data sequences, in particular an action sequence, reaction sequence or interaction sequence or corresponding stimulation sequences.

[0305] For example, the model or avatar can (to a determinable, e.g. adjustable, extent) and / or with regard to certain and / or determinable characteristics: - the same as or similar to a specific person (e.g. wholly or partly real or wholly or partly imaginary or virtual); and / or - dissimilar to a certain or ascertainable extent; and / or - have a specific or identifiable difference (e.g. concerning specific or identifiable characteristics).

[0306] Their respective actions or interactions can preferably be carried out entirely or partially based on generated information and / or not based on human control and / or not based on predetermined (programmed) rules. This can include one or more types of stimulation described in this document and / or a (variable, optimized perceptual characteristics of the avatar) and / or communication.

[0307] In particular, the at least one (first and / or second) avatar can comprise or be a (preferably dynamically executable) simulation of the (perceivable and / or context-relevant) properties or characteristics of the user or partner. The (first and / or second) avatar can be an animated, dynamic, or interactive avatar.

[0308] The stimulation (to be supported) can be carried out (unilaterally or bilaterally) by means of one or more avatars (each of the stimulation partner).

[0309] The stimulation can be supported by executing one or more first models and / or one or more second models, or by avatars operated by them, in particular controlled, stimulated, or prompted. These avatars can represent, imitate, or represent the (respective) partner.

[0310] In the method, a stimulation and / or effect of the stimulation (on the user or the partner) can be aimed for, in particular achieved or optimized, which is not clearly, unambiguously and / or by means of a formula or rule-based ascertainable with one or more of the (first and / or second) data or parameters or specifications, feedback, inputs, settings or operating actions. Rather, relationships can be learned and / or taken into account as (each complex) functions of several (e.g. more than 3, 5, 7, 13, 21) parameters. For example, the stimulation supported or brought about by the device is a function of a large number (e.g. more than 3, 5, 7, 13, 21) of the parameters or a large number (e.g. more than 3, 5, 7, 13, 21) of the different types of parameters. Therefore, training, in particular retraining, orOperating at least one neural network is a particular advantage because a large number of, in particular specific, not explicitly known dependencies or relationships can be taken into account.

[0311] When this document refers to relationships (e.g. between different data, parameters, body systems, processes in the body or psyche, etc.), these can in particular refer to (at least partially or predominantly) functional, physiological, biochemical, neurological relationships, in particular those acting through sensory and / or motor signals or corresponding nerve strands or meridians or trigger points and / or psychosomatic effects. These can in particular be specific relationships and / or relationships that are primarily relevant or significant with regard to the application of the device or the task of the invention. The relationships can be qualitative and / or quantitative measures of the relationships (e.g. approximated during training and / or taken into account on a probability basis during operation).

[0312] For example, the generated output data deviate from or significantly exceed a (possible, simple) modulation, in particular an amplitude modulation and / or frequency modulation, and / or the application of a (constantly identical, repetitive, or adjustable) function to a type of parameter. Rather, multimodal or multimodally determined (initial) parameters of the user and / or multimodal or multimodally determined parameters of the user's partner and / or other data, contexts, etc. described in this document can be interpreted or (specifically) generated in the generative and / or transformative process described in this document.

[0313] A (first and / or second) model and / or avatar may be set up and / or operated as a representative of the one or more (respective) persons in the context of a stimulation and / or used as a representative of the one or more (respective) persons in the context of a stimulation.

[0314] In particular, a model and / or avatar can be trained, in particular retrained, and / or operated to act as a trainer or helper in the design, adaptation, execution of exercises, achievement of one or more intermediate goals or objectives and / or to interact with the user and / or the user's partner.

[0315] For example, an avatar can be operated depending on the respective model, in particular on the basis of the model of the respective person. This is to be understood in particular in such a way that the avatar (e.g. the appearance, action or interaction of the avatar perceptible by the user's senses) can be operated at least partially and / or temporarily depending on the respective model (AI model), in particular during the course of the method (also: during the course of one or more specific steps of the method). For example, an avatar can comprise a model, be such a model or be operated by it, in particular controlled by it. An avatar can differ from the (respective) model in that it represents a perceptible (e.g. augmentable or augmented) feature or shape (e.g. imitated from a wholly or partly real or a wholly or partly artificially designed being).

[0316] The one or more models and / or avatars described in this document can be set up, trained, retrained and / or operated (also: be retrainable or operable) on the basis of the at least one neural network and / or depending on the operation of the at least one neural network (e.g. a further part of the neural network or a further neural network (designed, trained or retrained according to one or more features described in this document).

[0317] One or more models or avatars described in this document can have, represent, imitate or stand in for simulated or (during operation or when operating the models or avatars) dynamically simulated physical and / or non-physical processes or corresponding physical systems or characteristics of the user or the user's partner, their persons, in particular personalities. For example, they can have or represent one or more (with a certain similarity, approximation or precision) simulated or virtual processes or systems of a human being, in particular the body, character, or psyche. The (specific) relationships and / or (specific) (one-sided, mutual or multilateral) influences between the corresponding processes or systems of the body can also be represented (e.g. model-based, probabilistically, with a suitable level of accuracy, orin an approximate form). This can vary depending on the (current) use or purpose of the device. In doing so, primarily or essentially only a specific selection and / or specifically restricted features can be taken into account, or only approximately. This allows the device to be implemented in an economically advantageous and / or less error-prone manner. Therefore, (for example, in comparison to a hypothetical modeling of all aspects of a human being)

[0318] For example, one or more models or avatars (of the user and / or the user's partner) described in this document may represent one or more relationships between: - one or more physical processes; and / or - one or more non-physical processes; and / or - data or parameters of the same type or different types (e.g. at different time intervals); and / or - data or parameters of different types (e.g. at the same or different time intervals); represent and / or imitate or represent in the company.

[0319] These may be relationships that are derived at least partially depending on the respective relationships of the user and / or the user's partner and / or are determinable in the process, in particular are trained at least partially depending on the respective settings, specifications and / or feedback, in particular are retrained, and / or are changeable during operation.

[0320] The one or more models described in this document can have at least one neural network (e.g., dynamically executable and / or interdependent) processes (a so-called "inner workings") that carry out corresponding processes that approximate and / or modify the processes of a human (e.g., specific to the user and / or the user's partner), whereby data for operating the device, in particular the actuators of the device and / or appearance, actions or interactions of the avatars are determined or generated. For example, processes or relationships of the user can (also) be (predictively) predicted or anticipated and taken into account, which the user herself is not (conscious of).

[0321] The method can produce an objective technical effect that the stimulation support can be carried out in a particularly interactive, anticipatory, intelligent, predictive and / or with regard to the specifics described in this document.

[0322] The model or avatar of the user’s partner can be trained, in particular retrained and / or operated depending on: - (second) data or parameters of the user's partner; and / or - (initial) data or parameters of the user; and / or - the result of a prediction and / or anticipation and / or simulation relating to the user and / or the user's partner (e.g. relating to one or more time intervals and / or variants of the course of the simulation); and / or - from the operation of the user's model and / or avatar (e.g. from the data generated when operating the user's model and / or avatar).

[0323] Preferably, the model of the user's partner and / or the user's model can be operated depending on the (second) data or parameters and / or (first) data or parameters of the user.

[0324] For example, the perceptible characteristics of one or more avatars and / or one or more media outputs may be effected depending on: - (second) data or parameters of the user's partner; and / or - (initial) data or parameters of the user; and / or - the result of a prediction and / or anticipation and / or simulation relating to the user and / or the user's partner (e.g. relating to one or more time intervals and / or variants of the course of the simulation); and / or - Execution of the model of the user's partner and / or the user's model.

[0325] Preferably, the perceptible characteristics (e.g. physical, by a replica or illusion, by means of stimulation, perceptible or recognizable appearance, sound, behavior, action or interaction, etc. of the avatar) can be effected depending on at least one neural network or the model of the user or the model of the user's partner (e.g. depending on the respective initial data).

[0326] The one or more (first and / or second) models and / or avatars described in this document may: - a Generative Pretrained Transformer; and / or - one or more generative, application-oriented, particularly statistical models; and / or - a model that takes into account language and / or body language and / or behavior, in particular relationships relating to stimulation of humans, in particular a model that is trained therefor; be based on such a model and / or be controlled by such a model.

[0327] For example, models and / or avatars can be designed, configured or trained according to one or more features of a Generative Pretrained Transformer and / or LLM (=Large Language Model).

[0328] Preferably, the model and / or avatar can be trained, in particular pre-trained, on the basis of a plurality of stimulations from the past, in particular on the basis of the combinations of the (first and / or second) data or parameters, contexts, situations and / or behavior, etc. occurring in different stimulations.

[0329] Alternatively or additionally, the one or more (first and / or second) models and / or avatars can be trained, in particular retrained, depending on reactions of the user and / or the user's partner or other (e.g. previous) models and / or avatars to stimulations (e.g. of certain types or with certain parameters). For example, one or more (respective first models and / or avatars of the user can be trained, in particular retrained, depending on one or more first data (data associated with the respective user) and / or depending on one or more second data (data associated with the user's partner). In this case, the support of the stimulation in the interaction between the user and the user's partner can be particularly effectively supported by means of or through execution of the models or avatars.

[0330] The data underlying a stimulation sequence or control information can be generated as a transformative (e.g., probability-based) completion of the (first and / or second) data or parameters (e.g., sequences of data or parameters) that were valid in one or more previous time intervals. This can be carried out in such a way that a stimulation sequence, in particular an action, reaction, and / or interaction, is generated in such a way that the stimulation to be supported (e.g., a larger section of the stimulation or the entire stimulation) is completed (generatively or transformatively) by the one or more stimulation sequences.

[0331] For example: - a first physical movement, in particular body language of the first stimulation sequence in response to one or more preceding second stimulation sequences, is completed depending on one or more second physical movements in connection with the second stimulation sequences or vice versa; - a second physical movement, in particular body language of the second stimulation sequence in response to one or more preceding first stimulation sequences, is completed depending on a content of the one or more second stimulation sequences or vice versa;

[0332] One or more first avatars and / or second avatars can be configured to act as a fully or partially real person or a fully or partially virtual person in relation to their surroundings, in particular as a fully or partially real person or as a fully or partially virtual person, or to interact with the user or the user's partner. This can take place (essentially simultaneously, overlapping in time and / or in a sequence) via the action or interaction using different senses and / or perception channels, in particular through stimulation via different senses (e.g., through physical stimulation: visual, acoustic or verbal, haptic, olfactory). This can result in an at least partially immersive effect or an immersive experience for the person.

[0333] For example, the avatar can be set up, trained and / or operated (in the context of or as part of supporting the stimulation) to act or interact with the respective person visually (in particular also to be understood: optically) (e.g. by means of a camera and / or a correspondingly set up data processing or computer vision and / or a display device), haptically (e.g. by means of, in particular, tactile sensors and / or haptic actuators) and / or acoustically (e.g. by means of microphones and / or loudspeakers) and / or olfactory (e.g. by detecting and / or generating scents), preferably using means of the device. Preferably, the at least one avatar (of the user's partner) acts or interacts with the user using means (e.g. sensors and / or actuators and / or a computing unit) of the device (e.g. at least partially worn or inserted into the body, ...implanted part of the device.

[0334] An action (e.g., comprising one or more types of stimulation and / or communication) and / or interaction (e.g., comprising one or more types of stimulation and / or communication) between one or more avatars and one or more (further) parts of the device can be executed at least partially dependent on one another and / or at least partially coordinated and / or at least partially synchronized and / or at least partially complementary to one another. In this case, particularly effective support of the stimulation can be performed.

[0335] The at least one (first) model of the user and / or a (second) model of the user's partner can be set up, trained, in particular retrained, for one or more specific (concrete) persons (e.g. one or more of the first persons and / or one or more of the second persons as users of the device or method) and / or for a specific and / or (e.g. to a certain degree) type of stimulation or a specific and / or (e.g. to a certain degree) specific stimulation.

[0336] For example, the one or more first models can be specific to the user or can be specifically configured for the (respective) one or more (specific) users. For example (e.g., in the case of a device for sporting activities), the one or more second models can be specific or can be specifically configured for the (respective) one or more partners of the users. These can be configured with the aim of depicting, in particular executing, the personal characteristics of the corresponding persons (e.g., within certain deviation limits and / or with or without a specific, in particular adjustable, difference.

[0337] A (first or second) model can, for example, be configured to act for the user or the user's partner or to behave in accordance with the characteristics with or without the adjustable or determinable difference of the respective person (with regard to determinable characteristics), and / or to act or behave in the sense of the user or the user's partner and / or to act as the user or the user's partner would act or behave (e.g., in the same or similar context and / or in the same or similar situation). This can occur during the stimulation to be supported or to be supported and / or within the framework of a simulated stimulation (described further below).

[0338] The one or more first and / or one or more second models or the one or more first and / or one or more second avatars can be configured, in particular trained, and / or representative of the characteristics or properties that are not (or not explicitly) conscious or unconscious for the respective user and / or for the (respective) user's partner. This allows for improved stimulation support.

[0339] In particular, a model or avatar can be set up, especially trained or configured, depending on parameters that characterize the preferences, moral and ethical ideas, conventions, conscious and / or unconscious needs of the respective person (e.g., those demonstrated by the respective person over a longer period of time). These parameters can be predominantly specific to the respective person over the long term.

[0340] Particularly preferably, the at least one (first or second) model or a (first or second) avatar can be operated depending on the output data of the at least one neural network, which are generated upon operation of the at least one neural network with the (first and / or second) data or parameters (of the self or the respective partner) that are determined and / or predicted and / or anticipated and / or simulated before, during and / or after the stimulation. In this case, a (first or second) model or a (first or second) avatar can take into account the preferences, the (e.g. cognitive, emotional and / or psychological) state, wishes, intentions, actions, reactions and / or interactions of the respective (first or second) real person (e.g. during the operation of the method or during the course of the stimulation), in particular predictively or anticipatorily, and / or supplement these (complementarily and / or in the sense of the desired support).

[0341] For example, the (respective) model or avatar can take into account both the (essentially permanent or long-term) characteristics, properties, or data of the user or the user's partner, as well as currently valid and / or expected (e.g., short-term valid or expected) data or parameters in one or more time intervals of stimulation. This can apply in each case with respect to the user and / or with respect to the respective partner.

[0342] The operation of the avatar and / or generation of the media output and / or the effecting of physical stimulation can be carried out in a coordinated and / or complementary manner in the method. Preferably, one or more (first and / or second) avatars and / or media outputs are used to: - stimulation to be supported; and / or - one or more other (e.g. physical, physiological, biochemical, neurological, and / or emotional, psychological and / or cognitive) stimulations caused by the device; and / or - to modify and / or supplement one or more effects of stimulations (e.g. those described above), in particular in a specific way.

[0343] Operating the avatar and / or generating the media output can, for example, stimulate a limbic system of the user or the user's partner (e.g. to support, in particular in preparation for, physical stimulation or to change or supplement its effect).

[0344] The media output may include non-physical outputs or stimuli, in particular outputs or stimuli that deviate (entirely or predominantly) from (direct) physical or physiological influences and / or from physical stimulation.

[0345] The neural network operating one or more avatars and / or generating one or more media outputs can (primarily) be trained, in particular retrained, to stimulate the limbic system of the user (or the partner of the person it represents or imitates), particularly with regard to the use of the device or the pursuit of goals. The generated information can be directed toward achieving the appropriate (in the respective phase of arousal), in particular optimized, effect on the limbic system and / or processes controlled by the limbic system. This, in turn, can be done to support the (predominantly) physical processes or the effect of the (predominantly) physical stimulation.

[0346] The (first and / or second) avatar can comprise or be a replica and / or representation of selected and / or modified characteristics of a (wholly or partially real) person and / or further identifiable characteristics (e.g., selected and / or modified characteristics of another person). Alternatively, the (first and / or second) avatar can be a (designed) being that is wholly or partially selected, set up, trained, or retrained, in particular in the process (e.g., depending on first and / or second data and / or parameters), or (wholly or partially) created to carry out the process or technically (depending on settings, specifications, and / or feedback) in one or more steps or operating cycles of the process. These can comprise or be an imitation or representation of the respective partner, in particular based on the characteristics described above.For example, it can be an avatar of the user's partner (for the user) or an avatar of the user (for the user's partner).

[0347] The replication or imitation can involve the generation and / or output of (e.g., at least partially static and / or at least partially dynamic and / or multimodal) visual, auditory, haptic or tactile, olfactory and / or gustatory stimuli, shapes, patterns, or the modification of these. For example, several of these can recreate or represent a shape, a body, or one or more parts of the body (e.g., face, head, torso, etc.). For example, the stimuli can be augmented (e.g., by means of a part of the device) or can modify or supplement one or more real perceptions (e.g., from the stimulation to be supported).

[0348] The method can (e.g. if the device is for supporting sporting activities or exercises) comprise carrying out at least partially simulated stimulation using one or more models of the user and / or one or more models of the user's partner. This can in particular also be understood as an (e.g. active or at least partially automatic, simulated or virtualized) execution (also: operation) of at least part of the stimulation using the one or more first models or the one or more second models. The method can (also in this sense) comprise at least partially simulated stimulation.

[0349] The one or more first models or avatars can be trained and / or brought to interact with real people and / or with each other (i.e. with the models or avatars of one or more respective partners). In particular, these can be brought to an action, in particular an interaction, to be carried out in particular according to certain specifications (e.g. a (predominantly) physical and / or a (predominantly) non-physical) through a data exchange, in particular by enabling a data exchange. The action, in particular an interaction, can be counted as part of the simulated stimulation described in this document or can be carried out by means of a simulated stimulation. The simulated stimulation or the interaction can be used to determine the one or more pieces of information described in this document (e.g.Report information and / or automatic feedback and / or information for arranging stimulation) and / or for operating one or more of the functionalities described in this document or further functionalities, such as user functionalities, in particular the stimulation assistant, and healthcare functionalities.

[0350] The first and / or second models or first and / or second avatars described in this document can be used to generate and / or process data characterizing the changes in their respective state, effects on them, and / or their reactions occurring during the simulated stimulation. These data, as a result of the simulated stimulation, can in turn be processed or used to support the stimulation and / or training (e.g., retraining or updating) of one or more models and / or avatars or of the at least one neural network.

[0351] The data obtained can be used in the process, in particular for predicting and / or anticipating and / or simulating and / or influencing the changes in the state, effects and / or reactions with the changes in the state, effects and / or reactions of the (corresponding) real persons or persons with similar characteristics or belonging to certain groups of persons.

[0352] In this way, training, in particular retraining of the neural network (which is usually complex and can normally only be carried out with a great deal of specialist knowledge or by specialists), can be carried out in a particularly simple and user-friendly manner (e.g. in user operation) or with little or no specialist knowledge on the part of the user or the user's partner and / or without disclosing any sensitive data.

[0353] For example, the training of the one or more models and / or avatars or the at least one (corresponding) neural network may depend on a decision of the one or more users and / or one or more partners of the users concerning: - to provide or make available the respective first data or first parameters and / or the respective second data or second parameters, in particular sections of the data or parameters (which correspond to specific or determinable characteristics); and / or - to provide or allow certain stimulations or sections of stimulations (e.g. by one's own model or avatar) or to initiate or execute them.

[0354] For example, the decision of the user and / or the user's partner can be determined and / or interpreted as to whether, which of their stimulations or sections of the stimulations (if applicable individually) and / or for what purpose and / or with which respective partner are used.

[0355] For example, one or more steps of the method for one or more users, in particular training, in particular retraining, providing, modifying, operating, restricting and / or deactivating the one or more (first and / or second) models and / or (first and / or second) avatars, will be executable in a unilateral or mutual dependency on one or more steps of the method for one or more partners of the users. For example, the aforementioned provision or consent to use can be based (at least in part) on reciprocity. This can be done, for example, by chaining the respective models, avatars or user functionalities, and / or vice versa. This can be chaining to a blockchain or public distributed ledger.

[0356] For example, the method may include or be providing one or more (e.g. specific, specifically trained, in particular retrained) parts of the at least one neural network to support the stimulation of the user or the user's partner and / or one or more other users or partners of the user.

[0357] In the latter case, one (specific) part or several (specific) parts of one or more (e.g. specific, specifically trained, in particular retrained) neural networks (e.g. parts of the neural networks, models or avatars described in this document, which are trained, in particular retrained, in particular by means of the device, user device and / or in a computing unit arranged at a distance) can be provided to support the stimulation of the user or the user's partner and / or one or more other users or partners of the user. This is to be understood in particular as meaning that they are deployed (in particular to be understood as installed, updated or updated) to operate one or more other devices (i.e. one or more parts of the devices of the respective people).

[0358] The method may include determining and / or evaluating one or more of the following information concerning: - the condition and / or a change in the condition; - an emotion and / or a change in emotion; - an intention and / or a change of intention; - Voice, announcement, and / or change of voice; - Physical activity, body language, and / or changes in body language of the user and / or the user's partner before and / or after a period of stimulation. The information may relate to a time interval of a few seconds or fractions of a second before the start and / or after the end of the stimulation.

[0359] The determined information can then be taken into account in the method. For example, the training and / or operation of the one or more models and / or avatars or the at least one neural network can be made executable or executed depending on the determined information. For example, input data, in particular input sequences for operating the at least one neural network or model or avatar of the user and / or model or avatar of the user's partner, are determined depending on the information.

[0360] The method can determine and take into account the context of further stimulations (e.g., in a temporal and / or causal relationship with the stimulation), in particular the parameters of the further stimulations of the respective partner. For example, an avatar of the user (towards one or more second persons) can appear and behave in a way that is appropriate for causing (creating), changing or supplementing an effect that corresponds to the specification. For example, a first avatar (e.g., of the person initiating the stimulation or a stimulation sequence) can look, behave, express itself, sound, communicate, etc., towards the user's partner (e.g., a recipient of the stimulation sequence) depending on the second context, second situation, second scene of the respective second person (as the at least temporary recipient of the stimulation). One or more properties of the avatar (e.g.,concerning appearance, sound, behavior, acting, interacting, communicating, etc.) of the (first or second) avatar towards the (second or first) person are operated (e.g. controlled or prompted) by means of a corresponding neural network, in particular Generative Pre-Trained Transforders.

[0361] The training of the at least one (first and / or second) model and / or (first or second avatar) or the at least one neural network can be carried out, in particular in several phases, over a long period of time or over several executions or operating cycles of the method or different stimulations.

[0362] Training (especially to be understood as the process of training) can include or be: - determining training data, in particular on the basis of data from previous uses of the (first and / or second) device of one or more steps of the method (e.g. corresponding to similar features) and / or data, in particular effect data characterising the effects achieved in the past with different stimulations; and / or - determining and / or initiating backpropagation, in particular on the basis of data from previous executions of one or more steps of the method (e.g. corresponding to similar characteristics) and / or data, in particular effect data characterising the effects achieved in the past with different stimulations; and / or - a selection or adjustment of one or more parameters and / or logic of the training process (e.g., supervision and / or reinforcement), in particular based on data from previous executions of one or more steps of the method (e.g., corresponding to similar characteristics) and / or data, in particular effect data characterizing the effects achieved in the past with different stimulations. This can, for example, be carried out depending on the first data and / or second data described in this document (data should also be understood as data based on these data).

[0363] The training, in particular retraining, and / or operation of the one or more neural networks can be carried out according to one or more predetermined and / or process-determinable, adjustable, and / or dynamically changeable data or parameters (e.g., as described in the context of this document) and / or within the process (e.g., by the user or the user's partner). In particular, the logic underlying the selection and / or processing of the training data and / or the execution of the training process (e.g., for at least partially supervised or at least partially unsupervised training) can be varied.

[0364] One or more aspects of the training described above may be executed and / or adapted depending on the result (e.g. result data on achieved effects, goals, target values) and / or feedback (from the user and / or the user's partner) and / or the at least partially automatic feedback from one or more previous stimulations and / or the simulated stimulation described in this document.

[0365] For example, a (first or second) model is trained to assume its physical (representing one or more physical processes and / or systems) and / or emotional, psychological and / or cognitive state (representing one or more non-physical processes and / or systems) or to carry out a change of state that corresponds at least approximately or approximately, in particular as precisely as possible, to the states and / or changes of state of the (one or more corresponding, in particular first or second) real persons (represented by the model) (with regard to their respective corresponding parameters). The model can be set up, in particular trained or retrained, in such a way that it (e.g. starting from the same state as the real person) can determine the identity orProfiles of the stimulation partners, the context, scene, situation, the stimulation at least approximately assume the cognitive, emotional and / or psychological state or carry out state changes that one or more of the respective states or state changes of the corresponding real persons would have under similar (real) circumstances.

[0366] In a simplified case, such states can be represented in the form of corresponding parameters (e.g., state parameters). For example, depending on a (in itself arbitrarily complex) state of more than 10, 10 2 , 10 3 , 10 4 , 10 5 , 10 6 , 10 7, ... parameters of the model and / or avatar or of the at least one neural network, respective (e.g. summarizing) parameters that represent the (technically simulated, virtual), (predominantly) physical (e.g. characterizing one or more physical processes) and / or (predominantly) non-physical, in particular physiological, physical, cognitive, emotional and / or psychological states are determined and / or provided. In other words, the state of a model or avatar (in terms of the precision of the method and a better imitation of respective real persons) can have a (very) high level of complexity and / or dynamics.

[0367] In particular, training, in particular retraining, of one or more (first or second) avatars to execute (e.g. visualizable or outputtable) physical impulses or expressions and / or body movements (e.g. movement of body parts) and / or body language (e.g. gestures and / or facial expressions), eye parameters, microexpressions, voice, etc. that at least approximately correspond to those of real people (user or partner of the user), in particular with certain types of stimulation, contexts, scenes, situations and / or with stimulation with different people or people with certain profiles.

[0368] For example, an avatar can be trained and / or operated (e.g. from data or parameters of the user's partner and / or the corresponding model) to generate a visual, auditory, tactile, olfactory output, in particular through a generative transformation of the (first and / or second and / or data or parameters characterizing an optional stimulation to be supported) (input data determined depending on the data or parameters, in particular input sequences). In this case, the generation of intermodal patterns typical for the user or partner of the user and / or context, topic, situation (e.g. in a manner that imitates the person as closely as possible and / or in relation to the (determinable, selected) type of use, desired effects, goals, intermediate goals) and / or exhibits a specific and / or determinable difference compared to the corresponding person) can be aimed for and, in particular, achieved.The intermodal patterns can relate to the outputs relating to several of the person's perception channels (e.g. of the stimulation partner) and / or the areas of the surfaces or volume areas of the body. For example, patterns can relate to the movement of one or more parts of the body, gestures and / or facial expressions and / or microexpressions, eye parameters on the one hand, and the speech output (comprising generated speech), in particular the speech rhythm and / or intonation on the other. These can form part of the (multimodal or intermodal) stimulation or supplement it (e.g. generatively). For example, the outputs are generated as a transformative supplement to those characterizing physical stimulation. Alternatively or additionally, the physical, in particular physical, physiological, biochemical part of the stimulation orthe stimulation (a part of the stimulation sequence) is generated as a transformative addition to the (entirely or predominantly) non-physical, in particular non-physical or non-physiological stimulations.

[0369] The invention particularly includes one or more (first and / or second, according to one or more features described in the present document) trained and / or pre-trained models and / or avatars. These can each comprise (appropriately configured) generative pretrained (AI) models or can be constructed or operated on the basis of such. These models can be pre-selected or selected models (e.g. foundation models) (e.g. for use as representatives of specific people or people belonging to a group of people and / or based on the context, topic, situation, scene, etc.). These can be retrained and / or operated (e.g. based on specifications from the people) in the process (e.g. depending on the data associated with the respective person, e.g. stimulation data and / or reaction data of the respective person).

[0370] The term "simulated stimulation" in the context of this document is to be understood in particular as a stimulation that is at least partially (e.g., with regard to some aspects of the stimulation) and / or temporarily (e.g., for a section of the stimulation). In a simulated stimulation, at least one of the partners can be different from the user, and / or from the user's partner and / or from a real person. In the simulated stimulation, one or more physical and / or non-physical characteristics and / or processes and / or relationships between them described in this document can be simulated. For example, a simulated stimulation of (simulated) areas of surfaces or volume regions of the body can be carried out. For example, the simulated stimulation is carried out in order to simulate the (simulated) effect or (simulated) perception (i.e.,Parameters that characterize the simulated effect or a simulated effect sequence).

[0371] The simulated stimulation may relate to a specific parameter of the context, environment, and / or situation. In particular, the simulated stimulation may be performed in a simulated context, environment, and / or situation.

[0372] In particular, the simulated stimulation can be executed depending on a current, possible, expected, and / or predicted context, environment, and / or situation. This can generate results (e.g., one or more response sequences, effect sequences, automatic feedback, prediction, anticipation, or simulation) that enable (improved) inference regarding a current or upcoming stimulation or provide corresponding data to support the (fully or partially) real stimulation.

[0373] Preferably, at least one model of the user or avatar can be operated (e.g. configured or prompted or stimulated or controlled) during the execution of the simulated stimulation depending on the first data relating to the one or more users, in particular relating to their (respective) (predominantly) physical state or parameters of one or more physical processes, and / or (respective) (predominantly) non-physical state or parameters, in particular an ego state, a cognitive, emotional and / or psychological state. Preferably, at least one model of the user's partner or avatar can be operated during the execution of the simulated stimulation depending on the second data relating to the one or more partners of the user or users, in particular relating to their (respective) data or parameters. Alternatively or additionally, at least a first and / or second model orThe avatar can be operated (e.g., configured, controlled, stimulated, or prompted) depending on the state of the second or first person (the user's partner). This can be the current state or the state expected (e.g., predicted or anticipated) at the time interval of the stimulation.

[0374] When operating, in particular executing, the one or more first models and / or one or more second models, in particular in the simulated stimulation, a natural language and / or body language can be used (e.g. original language or body language that is also used or expected in a direct or teleoperated stimulation (between real people)). Alternatively or additionally, a different natural language (e.g. different from the original language) and / or a protocol of non-verbal communication and / or stimulation sequences characterizing physical stimulation and / or non-physical stimulation and / or (e.g. cognitive, emotional and / or psychological) influences can be used. The protocol can, for example, comprise or be a coding for different stimulations, influences, effects or stimuli described in this document. In particular, an information technology (e.g.A protocol (based on a specific, special, specifically created standard or agreement, particularly optimized for the applications described in this document) may be generated and / or used. Such a protocol may be intended or configured to carry out simulated stimulation. It may identify various parameters of verbal and / or non-verbal communication, stimulation sequences and / or influences characterizing (predominantly) physical and / or (predominantly) non-physical effects, and in particular sequences of such parameters.

[0375] For example, a simulated stimulation (e.g., between one or more of the first models and one or more of the second models) can be performed using such protocols. For example, verbal, nonverbal communication, and (predominantly) physical stimulation (e.g., characterizing stimulation parameters) protocols can be used (e.g., generated and / or sent and / or received and / or processed by a model or avatar).

[0376] In other words, a first avatar does not have to (physically) influence the second avatar or communicate or interact with it verbally or non-verbally (e.g., smile at it or physically simulate a smile, or output an interjection in the form of an audio signal). Rather, an action or interaction can be performed within the framework of the protocol (e.g., agreed upon for this purpose or generated in the process), using a code (e.g., a character string, binary sequence) corresponding to the different nonverbal stimulation sequences or influences. This allows the process, in particular the (simulated or virtualized) stimulation, action, or interaction, to be carried out much more efficiently and quickly.

[0377] The protocol may include or be a (coded or formalized) stimulation sequence or be used alternatively or additionally (e.g. together or in a specific train order) to a stimulation sequence.

[0378] In this case, a first avatar (e.g. on a user device) can virtually influence a second avatar nonverbally (e.g. regarding its virtual perception) and / or physically (e.g. its one or more (simulated) processes), in particular to determine the information (which can be used to support the stimulation), e.g. for rehearsal or to determine information to support the stimulation.

[0379] For example, the models and / or avatars described in this document can: comprise a selection or parts of simulated processes or physical systems (predominantly physical and / or predominantly non-physical) that interact with one another and / or with the outside world, and / or virtual perception (e.g. simulating human perception), and / or be designed to bring about (predominantly physical and / or predominantly non-physical) actions, interactions, in particular actions that comprise physical stimulation. The (predominantly) physical part of the stimulation can be supported or brought about (e.g. physically implemented) by means (one or more actuators) of one or more parts of the device. This can depend on the parameters used during operation (e.g. one or more actions) of the model or avatar or coordinated or implemented with the model or avatar.synchronized, and / or depending on the data generated during an interaction with a model or avatar.

[0380] For example, the first model or the first avatar (of the user) can generate output data (e.g. data sequence, token sequence) for a specific (predominantly) physical and / or (predominantly) non-physical (e.g. cognitive, emotional and / or psychological) influence (e.g. data sequence characterizing a verbal and / or non-verbal communication). This, in turn, can be carried out depending on a transformation of previous data, in particular previously received physical and / or non-physical stimulation and / or communication. The output data can be processed in the method, in particular transmitted to the second model or the second avatar (of the user's partner) and / or processed by it. This output data can contain one or more parameters (e.g. parameter sequences) characterizing one or more (simulated) processes and / or physical systems (e.g.(characterizing their states, changes, mutual influences) of the second model or avatar and / or a reaction, interaction, or response of the second model or avatar. This data can be used in the process to support the stimulation or, for example, to train or retrain and / or operate the neural networks, models, or avatars.

[0381] In simulated stimulation, a section of the stimulation can be generated, for example, by one or more (e.g. first or second) models or avatars and / or a reaction to the section of the stimulation (e.g. of the second or first) model or avatar can be determined.

[0382] For example, depending on the simulated stimulation (on the result of the simulated stimulation, in particular depending on the (simulated) parameters, effect sequences, reaction data generated during the simulated stimulation), the support of a section of the stimulation can take place with the participation of one or more real people (the user or the user's partner). For example, based on the generated section of the stimulation and / or the reaction data can be provided to support at least part of the stimulation and / or used (e.g., to operate the at least one neural network, model, avatar, or device, in particular to effect, modify, and / or supplement the stimulation).

[0383] In particular, depending on a stimulation of the user or a first model (or avatar) of the user to the second model (or avatar), and / or upon stimulation of the user's partner or a second model (or avatar) of the user's partner to the first model (or avatar), the information (e.g. described in this document) (e.g. in the form of the protocols described above) can be determined. This information can be provided or used to (further) support the stimulation and / or to train a new or updated model or avatar. In this case, data from several (a plurality) of simulated stimulations (e.g. according to a specific logic or dependency) can be selected, aggregated, processed or provided. For example, priority can be given to (specific orsections of the data that meet (determinable) regulatory, moral and / or ethical criteria are used.

[0384] The training, in particular retraining of the one or more (first and / or second) models and / or the avatar or the at least one neural network can be carried out depending on the result of the simulated stimulation (e.g. the information determined during the simulated stimulation, in particular according to the features described above).

[0385] For example, a simulated stimulation can be carried out between one or more first models or avatars (on the one hand) and one or more second models or avatars (on the other hand), in particular depending on one or more interactions (comprising a physical and / or non-physical) stimulation between them, wherein the information generated or determined in this way is provided or used to support the stimulation (e.g. carrying useful content or acting on the real person), in particular with the participation of the one or more first real person and / or one or more second (real) person.

[0386] In this case, the at least one piece of information determined, in particular characterizing the stimulation sequence and / or the (corresponding) effect sequence of the at least one stimulation sequence, can relate to a specific context and / or situation (in particular also to be understood as: being assigned to a specific context and / or situation). For example, when carrying out the simulated stimulation, one or more parameters of the context and / or one or more parameters of the situation can be taken into account. In this case, the support of the (at least partially real) stimulation (e.g., through the information determined by means of the simulated stimulation) can be carried out specifically.

[0387] For example, a (fully or partially) simulated stimulation involving one or more first models or avatars and / or one or more second models or avatars can be carried out before and / or (e.g., at least partially and / or at least temporarily) in the same time interval (e.g., in a time window of a few seconds or minutes) with a section of the (e.g., interpersonal) stimulation to be supported. Within the scope of this document, the simulated stimulation is to be understood in particular as an at least partially simulated stimulation.

[0388] Supporting the (at least partially simulated and / or at least partially real) stimulation, e.g., with real participation of the user and the user's partner, in particular between the user and the user's partner, can depend on the simulated stimulation, in particular on the data generated during the simulated stimulation. Supporting the stimulation, in which one or more (real) users and / or one or more (real) partners of the users are involved, can depend on the result of an (at least partially) simulated or virtualized stimulation.

[0389] In particular, at least part of the stimulation carried out by a real (e.g. first or second) person and / or directed at a real (e.g. second or first) person may differ from at least part of the at least partially simulated or virtualized stimulation which is (e.g. predominantly) carried out by means of the one or more first models and / or one or more second models.

[0390] The content of the stimulation, the speed with which the at least partially simulated or virtualized stimulation is carried out, one or more parameters of the stimulation described in this document in any combination (e.g. concerning individual sections of the stimulation or stimulation sequence) of the at least partially simulated or virtualized stimulation can differ at least partially (e.g. up to a certain degree of dissimilarity) or at least partially (e.g. up to a certain degree of similarity) from those of the interpersonal stimulation (to be supported).

[0391] The one or more of the (first) neural networks of the one or more first models can be trained and / or operated depending on first data or parameters relating to one or more users and / or one or more of the (second) neural networks of the one or more second models can be trained and / or operated depending on one or more second data or parameters relating to one (or more) partners of the user.

[0392] For example, the at least one model of the user can be operated depending on one (or more) neural networks, which are trained and / or operated depending on one or more first parameters relating to one or more users.

[0393] For example, the at least one model of the user's partner can be operated depending on one (or more) neural networks, which are trained and / or operated depending on one or more second parameters concerning one or more partners of the user.

[0394] The neural networks described in this document may be neural networks or areas (e.g., parts or layers) of a neural network assigned to individual models or avatars. In this sense, all features described in this document relating to training and / or operation of the at least one neural network may relate (also directly) to the models or avatars. The one or more models and / or avatars may be implemented within the system, in particular within the at least one neural network, as at least partially independently acting centers (so-called agents or AI agents) or virtual beings.

[0395] The support of the stimulation between a (real) user and a (real) partner of the user can be carried out depending on the result of the (fully or partially) simulated stimulation guided by one or more first models and / or one or more second models (e.g. a part of the stimulation).

[0396] The at least partially simulated stimulation can be carried out using multiple models and / or avatars (e.g., models that interact and communicate with each other virtually). For example, upon inputting, selecting, adapting, and / or transforming a stimulation sequence initiated by a real person (directly, remotely, or indirectly) or a stimulation sequence (e.g., not yet initiated by the user or partner), an at least partially simulated stimulation can be carried out using multiple models and / or avatars. Support for the stimulation (e.g., the current or subsequent section of the stimulation) can be provided depending on the result of the execution of the at least partially virtual stimulation, in particular depending on the response data.

[0397] A (first or second) avatar can, for example, be set up to act, react or interact for the user or the user's partner, to act, react or interact in the sense (e.g. according to one or more recognized or predicted wishes, intentions, preferences, etc.) of the user or the user's partner, and / or to act, react or interact (according to the characteristics of the action) as the user or the user's partner would act (e.g. in the same or similar context and / or in the same or similar situation). In particular, the stimulation can be supported by one or more avatars of the user and / or one or more avatars of the user's partner.

[0398] In an example that can be combined with all the features described in this document, incoming stimulation sequences can be read in (perceived, so to speak) by a model or avatar of the user (i.e., by their own avatar). In this case, information can be determined to support a (further, particularly with regard to one or more characteristics similar, e.g., possible, expected) stimulation, in particular characteristic of an effect or reaction of the person (a stimulation partner of the user). For example, a person (participating in several supported stimulations) can be supported in learning which (e.g., physical, particularly physical, physiological, and / or non-physical emotional and / or psychological) effect or reaction (and, if applicable, in which of several stimulations) this person would (at least approximately) exhibit (if they were directly involved in the stimulation).

[0399] For example, one or more different simulated stimulations are carried out, in particular in advance (so to speak "in reserve"), relating to different contexts, situations, scenes, states, wishes, intentions, actions, reactions and / or interactions, etc. of the user and / or the user's partner. The information characterizing, in particular representing, the result of the simulated stimulations can be stored and / or directly or indirectly provided or used to support the stimulation with the participation of at least one real person (user or user's partner). In this case, several (e.g. at least 2, 4, 8, 16, 32, 64, ...) sets of information (e.g. stimulation sequences) can be generated in advance (e.g. during a comparatively longer time interval or with efficient use of computing resources). These can be used as needed (e.g.at a later point in time, so to speak, on-demand). For example, one or more results of different simulated stimulations can be used depending on a stimulation sequence and / or depending on a predicted section of the stimulation (e.g., for the near future, relatively short-term).

[0400] In one example, along with all other examples described in this document, the method may comprise training one of the neural networks described in this document, in particular the Generative Pretrained Transformer, etc., depending on the execution of the simulated stimulation. The neural network may be trained, in particular retrained, and / or made usable or used to support the stimulation, or may comprise or be at least one neural network to support the stimulation. In particular, the neural network may be used to generate the information, in particular one or more pieces of information described in this document, to support the stimulation. Alternatively or additionally, it may be the first neural network of the first model or first avatar and / or the second neural network of the second model or second avatar.

[0401] Alternatively or additionally, supporting the stimulation may include or be finding a partner, determining a match between people, particularly with regard to partnership and / or matchmaking.

[0402] For example, one or more initial models can simulate (e.g., material and / or immaterial) needs, desires, intentions, and emotions of one or more (respective) people. In doing so, the neural networks (e.g., parts, areas of the neural networks), models, or avatars can be brought into interaction (which includes at least partial interaction with each other). Matching, particularly matching with regard to matchmaking, can occur depending on the data determined during the (fully or partially simulated) interaction.

[0403] The method can be implemented within the framework of a web-based and / or browser-based application, a social network, or as a functionality (e.g., a user functionality) of the social network, or as a functionality executable together with such applications or corresponding functionalities. In particular, a (computer-implemented) method (according to a selection of the features described in this document) can be integrated into such applications or functionalities and / or executable together with them.

[0404] For example, the method can be integrated into a social network (e.g. into the user interface of the social network) or (e.g. via a suitably configured interface, in particular an API (= Application Programming Interface) or a connector) and / or can be executed together with an application for using the social network (e.g. with at least partially its own user interface). In this case, a synergy with regard to the handling of the data and / or better (mutually) integrated or adapted user functionalities can be provided. The term “social network” is to be understood in particular as meaning a messenger service.

[0405] For example, the method can be executed with one or more (appropriately configured) applications (computer programs, apps), particularly in the form of a plug-in. For example, this can be a plug-in for a browser, social network, or messenger service.

[0406] For example, one or more steps of the method can be executed by means of an interface (e.g. API or connector) (e.g. set up to execute the method).

[0407] Preferably, the method comprises determining: - the first data concerning the user, in particular the user’s parameters; and / or - the second data concerning the user's partner, in particular the user's parameters; out of - a browser, in particular a web browser; and / or - from an application for using a social network; and / or - from a communication application, in particular a telephone or video conferencing application; and / or - by means of one or more parts of the device (e.g. wearable, insertable or implanted).

[0408] The determination of the (first or second) data or parameters (e.g. according to the list above) may depend on the user account, usage history (e.g. browsing history, stimulation history of the respective person or on behalf of the person); and / or - data associated with the user account, usage history (e.g. browsing history, stimulation history of the respective person or on behalf of the person).

[0409] In particular, the first data or parameters and / or the second data or parameters may be the result of data processing of at least two of the types, sources of data and / or parameters described in this document.

[0410] For example, determining the: - first data concerning the user, in particular the user's parameters; and / or - second, data concerning the user's partner, in particular the user's parameters; by means of an interface (e.g. set up to execute the procedure), in particular an API (= Application Programming Interface) or a connector. take place.

[0411] In particular, activation of an API (= Application Programming Interface) or a connector may be executable depending on the granting of authorization or consent by the respective users and / or partners of the users and / or an operator of the process.

[0412] For example, the allocation and / or verification of authorizations can be carried out in a decentralized network consisting of multiple computing units (e.g., multiple participants in the stimulation and / or users of the user functionality). The allocation and / or verification of authorizations can be handled using blockchain, or chaining or distributing the corresponding public distributed ledger. In particular, one or more allocation and / or verification of authorizations can be chained (unilaterally, mutually, or multilaterally).

[0413] The at least one stimulation supported in the method may include or be at least partially virtual stimulation (hereinafter also referred to as "virtual stimulation"). This may be stimulation by means of and / or with the participation of at least one avatar of at least one (fully or partially real) person (e.g., the user or the user's partner).

[0414] The at least one virtual stimulation is particularly (also) characterized in that at least one of the persons involved in a stimulation, e.g. the at least one user and / or the at least one partner of the user, is supported or represented by an avatar or by means of an avatar.

[0415] The at least one virtual stimulation can be conducted in a virtual space (also to be understood in particular as "virtual space") or by means of a virtual space (also to be understood in particular as: taking place, being carried out, or running). In particular, it can be effected in a virtual space or communicated and / or represented to the respective partner.

[0416] For example, the user can be at least partially and / or temporarily decoupled from the generation of the output data for effecting a stimulation sequence, from entering a specification for a stimulation sequence and / or from a direct perception of the at least one stimulation sequence, an image (e.g., image, camera image) and / or sound of the partner. This is to be understood in particular in such a way that at least one avatar (of the user or the user's partner) acts, interacts with, carries out actions or stimulates a partner or avatar of the partner at least partially and / or temporarily without direct operation, control or instruction from the user, the user's partner or another person. For example, the one or more users and / or partners of the users can be at least partially and / or temporarily decoupled from a (e.g., with the software operated orcorresponding to them) avatars, especially e.g. in a virtual space.

[0417] The one or more specifications and / or feedback (referred to in the description of the examples as: VGN or VGP or FBN, FBP) can be specifications for the respective avatar (e.g., its own or set up or operated for multiple users) and / or for the stimulation (to be supported) or for the device or a corresponding user functionality. The specifications can include or be prompts or information that underlie the (at least partially automatically generated) prompts. The one or more specifications or feedback can be directed to the avatar and / or intended to be taken into account by the avatar (e.g., in the case of at least partially or temporarily automatic action). As in other examples of the invention, the specifications and / or feedback can only be interpreted and / or taken into account at a later, in particular suitable, time interval and / or depending on the respectively valid data or parameters.

[0418] One or more of the specifications and / or feedback items described in this document may relate to a condition relating to the future, particularly in the further course of the stimulation (e.g. an action or reaction, consent, wish, intention of the respective partner, achievement of an intermediate goal, objective). For example, a specification may refer to (merely) potentially possible circumstances. For example, the specification may refer to a variant of the stimulation course (e.g. one that has not yet occurred, is possible, and / or leads to certain consequences). The variant of the stimulation course can be understood as one (of several possible) variants, options or turns of the stimulation or effects that arise (e.g. due to a decision, selection or chance) in the course of the stimulation. The different variants of the course can be represented by different (e.g. possible, probable orpredicted) cases that occur or occur during the course of stimulation.

[0419] The feedback can refer to one or more characteristics of the stimulation, action, interaction, or behavior (e.g., the device, the fully or partially real partner, or avatar). The feedback can refer to a (to be considered) evaluation and / or a request for change.

[0420] The procedure may include processing, in particular comparing, multiple specifications and / or feedback from at least two people (e.g., the user and the user's partner). For example, processing may occur: - several initial specifications and / or feedback among each other; and / or - several second specifications and / or feedback among each other; and / or - first specifications or a result of processing several first specifications with one or more second specifications or one or more first specifications with the result of processing several second specifications; and / or - first specifications or a result of processing several first feedbacks with one or more second feedbacks or one or more first feedbacks with the result of processing several second feedbacks; and / or - the result of processing several first specifications and / or feedbacks with the result of processing several second specifications and / or feedbacks.

[0421] When processing the specifications and / or feedback, the information may be determined and / or anticipated and / or interpreted and / or taken into account in the process with respect to the respective goals, plans, wishes, intentions, preferences, actions, interactions, or expectations (of the user and / or the user's partner). This may include or be: - taking into account the result of the processing (preferably carried out by means of the at least one neural network), in particular a comparison of the specifications and / or feedback in the process; and / or - Generating one or more suggestions regarding one or more specifications and / or feedback, in particular to change one or more (first) specifications and / or feedback from the user and / or one or more (second) specifications and / or feedback from the user's partner or one or more alternative specifications.

[0422] The one or more suggestions can be generated (e.g. according to a predetermined mathematical relationship and / or a higher-level specification (e.g. a specification from the user, the partner and / or operator of the method) and / or by means of the at least one neural network. For example, the at least one neural network can be trained and / or operated to generate one or more suggestions (e.g. at least to the user and / or the user's partner) with regard to their respective specifications. The method can help to select the specifications (e.g. in advance and / or during the stimulation). For example, one or more suggestions are generated or executed depending on the execution of a simulated stimulation (if approval or consent is detected).In this case, suggestions for the specifications of the user and / or the user's partner for the stimulation to be supported or for a further course of the simulated stimulation can be improved, in particular optimized according to a higher-level specification.

[0423] For example, the processing of the respective instructions and / or feedback (from two stimulation partners or stimulation parties) can lead to: - a new (e.g. predominantly common) specification or an adjusted set of specifications and / or feedback; and / or - a suggestion, in particular feedback information relating to a specification and / or feedback (e.g. as a new specification or a change to the specification or feedback, in particular a specific change to the specification or feedback) is generated.

[0424] For example, the stimulation or interaction can be conducted (also understood to mean: take place or proceed) in an at least partially real space and / or in an at least partially virtual space (particularly also to be understood as “virtual space”). Such an at least partially real and / or at least partially virtual space can comprise at least partially real and / or at least partially virtual objects. In particular, a specific virtual space can be generated and / or (e.g. during the course of the stimulation) changed (e.g. updated) or adapted to support the stimulation (preferably specifically, case-specifically). For example, the characteristics of the virtual space (so to speak, the environment in which the at least partially virtual stimulation is carried out) can be variable. This can be carried out alternatively or in addition to the (further) stimulation.For example, one or more features of the virtual space can be adjusted before and / or during stimulation to support the stimulation. In doing so, features of the virtual space or changes in the virtual space can be changed (e.g., continuously or depending on the state of the user and / or the user's partner). For example, these are generated through a generative or transformative process (i.e., controlled depending on the output layer of the neural network).

[0425] A partially real space is to be understood in particular in such a way that at least part of the spatial conditions is based on part of real data of a real situation (e.g. on data of a real living space) and / or a virtual space (e.g. stylized depending on a specification). For example, the stimulation or interaction can take place in such a partially real space. At least one real person (e.g. user for the partner or partner for the user) can be made at least partially perceptible by means of an avatar (e.g. appear or be augmented) and / or be represented by an avatar (e.g. partially and / or temporarily). The virtual part or virtual features of the partially virtual space can be made perceptible depending on the output layer of the at least one neural network.

[0426] A partially virtual space is to be understood in particular as one in which at least part of the spatial conditions is based on virtual data. This can be data from a virtual or virtually created (e.g., designed, created) situation, e.g., a living space or environment that does not exist in reality. The at least partially virtual space can be superimposed, augmented, and / or modified at least partially around a real person (e.g., the user or the user's partner).

[0427] The space (e.g., one or more living rooms) can therefore be partly real and partly virtual. Alternatively or additionally, the stimulation can be conducted between one or more users and / or their partners, with the user and / or the user's partner being partly real and / or partly virtual (e.g., represented by at least one model or avatar, particularly one associated with the person). In the case of an application in a sporting context, there can be several users or partners.

[0428] The at least one virtual space may comprise or be a (partial) replica of a fully or partially real and / or a fully or partially real space (e.g., living space). In particular, the virtual space and / or content of the virtual space may be a space that deviates from (specific and / or concrete) physical objects and / or may be an abstracted space, or may have content that deviates from (specific and / or concrete) physical objects and / or may be an abstracted space.

[0429] An influence on parts or contents of the virtual space, in particular objects in the virtual space, can be executed or can be executed: - depending on the data obtained by means of one or more models and / or avatars; and / or - by one or more users and / or one or more partners of the users; and / or - by the first avatar and / or by the second avatar.

[0430] The influence may include or be a movement and / or modification of content or objects. For example, in the method, particularly within the framework of the simulated stimulation and / or the stimulation to be supported, parts of the virtual environment and / or virtual objects may be moved and / or modified. This can be carried out (virtually) using the one or more first avatars and / or one or more second avatars (with or without direct action by the corresponding real first persons or second persons).

[0431] For example, moving and / or changing virtual objects can be used as a means of (simulated and / or supported) stimulation and / or be part of the respective stimulation. For example, virtual objects can represent real or near-real objects (e.g., as part of an action to which the stimulation relates). For example, virtual objects (concrete or potential) can represent objects typical of a living environment, private life, hobbies, or social life. These can be modeled on real objects (e.g., in terms of their texture, shape, appearance, sound, or feel) and / or represent them symbolically.

[0432] The at least one stimulation, in particular a stimulation sequence, to the user can be generated from the perceptual perspective of her avatar and / or interpreted by the avatar. This can be effected in such a way that it is perceived as coming from the avatar of the user's (real, fully or partially virtual) partner.

[0433] For example, the user can see, hear, or haptically perceive the partner from a distance, angle, and / or position that corresponds to the virtual position of the user's partner's avatar (e.g., to the user's real-life position). Alternatively or additionally, the environment and / or the user can be interpreted using the model or avatar.

[0434] For example, the virtual space (possibly the same virtual space) may be perceived differently by one or more users and by one or more of the users' (respective) partners. This may also occur during the same stimulation. Alternatively or additionally, the virtual space may (also) be perceived differently by the respective user or by the user's (respective) partner. This may depend on their respective specifications and / or states or changes in states.

[0435] Preferably, the determining or adjusting of the one or more parameters of the stimulation sequence is or comprises a transformative completion (in particular carried out depending on the execution of the one or more models or avatars).

[0436] The (first) data concerning the user and / or the (second) data concerning the user's partner may each comprise one or more entries in the following list, or may be determined, predicted and / or anticipated on the basis of the data according to one or more entries in the following list: - General data (first or second) that characterizes the person, in particular the personality of the user or the user's partner. For example, the general data or data related to the person of the user or the user's partner (the first and / or second data in each case) can be characteristic, in particular representative or characterizing, the personality of the user or the personality of the user's partner. These can relate to the behavior, communication, history, preferences of the user or the user's partner, or can include images, image sequences (e.g. photos or videos), or can characterize various (e.g. described in this document) or other aspects of the respective personality, or can be determined depending on these; and / or - characterise one or more (first or second) environmental parameters for a, in particular a wholly or partially real environment (e.g. room, living space, location, etc.) and / or a wholly or partially virtual environment (e.g. wholly or partially virtual space or location) or events in the environment of the user or the user's partner); and / or - one or more (first or second) context data (also: context parameters), in particular characterising a context, in particular a fully or partially real or fully or partially virtual context concerning the user or the user's partner, or the context of the stimulation or the context before or during the stimulation); and / or - first relationship data, which characterises the relationship between the user and the user's partner, or second relationship data, which characterises the relationship between the user's partner and the user; and / or - one or more (first) parameters of the user or one or more (second) parameters of the user's partner. These are described, considered, and used in detail below and throughout this document.

[0437] The (first and / or second) parameters described in this document (also referred to as the user's parameters or the user's partner's parameters) may each be (e.g. determined or applicable in a neutral state, in connection with one or more types of stimulation, in particular in certain phases of the stimulation): - physical parameters, in particular physical, physiological, biochemical, and those relating to the sympathetic, parasympathetic, and / or vascular systems of the body. These may, in particular, relate to one or more surface or volume areas (e.g., parts of organs) of the respective body and / or map information described in this document (e.g., be handled as a corresponding data structure); and / or - non-physical parameters or parameters of, in particular, an emotional, psychological and / or cognitive state or non-physical, emotional, psychological and / or cognitive process. For example, one or more parameters of emotion, a psychological effect, cognitive activity or effect (e.g., the process of remembering, memorizing, etc.), in particular a change, gradient, or pattern of such parameters, may be included; and / or - Parameters of expression (e.g. facial expressions, gestures, voice, body language, microexpression, parameters of the eyes); and / or - Parameters of the pose and / or movement, in particular movement of one or more body parts (e.g. in relation to each other, in relation to the respective partner or to the partner's avatar); and / or - Parameters of an action (e.g. in relation to one's own person, respective partner or avatar); and / or - Parameters of a reaction, in particular reaction data, and / or response data, in particular characterizing a reaction or response to an action (corresponding to certain or certain characteristics) of one's own person or one's own model or avatar or an action of the respective partner or model or avatar of the partner, interaction with the partner or avatar of the partner, and / or for a reaction or response to a stimulation, test effect or measurement stimulation. The reaction or response can relate to one or more specific areas of the surface or volume areas of the respective body or to the map information and / or one or more (physical or non-physical) processes; and / or - Noise data of the body, which are generated or stimulated in particular by one or more areas of the surface or volume and / or by one or more processes; and / or - Parameters relating to specific substances, in particular the concentration of specific substances (e.g. oxygen, one or more specific hormones or hormones corresponding to specific characteristics (e.g. those described in this document), messenger substances, nitric oxide (NO)), in particular in the blood. These can relate in particular to one or more areas of the surface or volume (e.g. parts of the organs) of the respective body or map information (e.g. be handled as a corresponding data structure); and / or - Parameters of blood filling or swelling, especially erection. These can refer to one or more areas of the surface or volume (e.g., parts of the organs) of the respective body or map information; and / or - neurological parameters, particularly those characterizing processes in nerve pathways, nerve centers, or the brain (e.g., in specific brain areas). These can characterize activity, cyclical processes, so-called patterns or rhythms, and / or at least a partial interpretation of (e.g., motor and / or sensory) nerve signals.

[0438] The (first and / or second) data can be characteristic of the (first and / or second) parameters or can include or be data determined depending on, in particular on the basis of, the (first and / or second) data or parameters. For example, the (first and / or second) data can include or be data sequences determined depending on the (first and / or second) parameters. For example, the (first and / or second) data can include or be further data (which have a certain connection to the respective person) that differ from the (first and / or second) parameters described above and / or data derived therefrom.

[0439] The entries in the above list (concerning the data or parameters) can be understood (in each case, selectively) as types of data or types of parameters within the scope of this document. For example, types of parameters can define processes, phases of stimulation or excitation and / or other characteristics described in the entries in the above list by their reference to specific areas of the surface or volume regions of the body. When this document refers to types of data or parameters, this should be understood to mean, in particular, data or parameters according to a selection of the characteristics from the above list. The input data of the at least one neural network and / or the output data of the neural network can (also) be multimodal with regard to the types of data or parameters.

[0440] Particularly preferably, depending on one or more types of data or parameters relating to the user, inferences can be made, in particular generated, and / or taken into account in the method regarding one or more other types of data or parameters (e.g., their respective parameter values, parameter value range, or changes) and / or predictions and / or anticipations regarding one or more other types of data or parameters relating to the user and / or the user's partner. The inferences can be used as a substitute for or instead of (e.g., missing) data or parameters. In this sense, generating the inferences (e.g., an output sequence used alternatively or in addition to the missing data or parameters) can be counted as part of the step of determining the (first and / or second) data or parameters.

[0441] For example, the at least one neural network can be set up, trained, in particular retrained, and / or operated, in particular in a generative or transformative process (e.g. by a transformative addition) to generate data or parameters which are used alternatively or in addition to the first data or parameters (i.e. to select the types of data or parameters) in the method.

[0442] For example, data sequences can be generated and / or used that: - data or parameters that are at least temporarily non-existent or insufficiently precise, depending on data or parameters from earlier time intervals and / or data or parameters of other types; and / or - data or parameters relating to one or more (e.g. difficult to access) areas of the surfaces or volume areas dependent on data or parameters relating to one or more other areas of the surfaces or volume areas; and / or - data or parameters relating to one or more operations of the person concerned dependent on data or parameters relating to one or more other operations of the person; and / or - data or parameters of one or more types dependent on data or parameters of one or more other types; at least partially and / or at least temporarily replace or take into account as a substitute.

[0443] In an example that can be combined with one or more features described in this document, one or more parameters of the state and / or arousal, in particular concerning phases of arousal (e.g., specific to women or men), in particular certain points or sections of the arousal curve, can be determined depending on the eye parameters and / or skin parameters and / or temperature parameters, or can be generatively predicted and / or taken into account through a generative or transformative process. This can be done depending on one or more (first and / or second) data or parameters of one or more other types.

[0444] For example, the eye parameters can be characteristic of pupil dilation (the expansion of the pupil, so to speak) and / or eye movements, in particular changes in saccades and / or fixations, in particular changes in these quantities.

[0445] For example, the skin parameters may characterize the color, in particular a measure of a spectral composition, in particular of a light reflected from an area of ​​the surface (e.g. face) and / or a secretion (e.g. sweat or lubrication of a part of the skin), in particular changes in these quantities.

[0446] For example, the temperature parameters can be characteristic of a distribution and / or change, in particular a change in the distribution of the temperature (e.g. on different areas of the surfaces or volume segments of the respective body.

[0447] Considering the parameters of the state or arousal (e.g., determined based on the aforementioned first or second parameters or taken into account by a generated process) can be very beneficial. For example, stimulation support can be dependent on the arousal parameters.

[0448] This can involve, at least in part, specific data or parameters, their specific changes, and / or correlations. For example, certain states or arousal sometimes manifest themselves very differently in different people or contexts, which can be taken into account in the procedure.

[0449] For example, more than 10% or 25% and / or less than 50% or 75% of the types of data or parameters and / or the respective data volumes or with respect to more than 10% or 25% and / or less than 50% or 75% of time intervals can be determined sensorically. The remaining types of data or parameters and / or the respective data volumes and / or data or parameters for the remaining time intervals can be supplemented (at least approximately) by means of the at least one neural network or model (e.g., generatively, transformatively, or approximately). For example, the (first and / or second) parameters or types of (first and / or second) parameters include such parameters that: - are characteristic of processes that take place entirely, essentially or predominantly inside the body and / or have no significant and / or direct external impact; and / or - are determined essentially or predominantly inside the body or on the basis of data predominantly determined inside the body and / or are not directly measurable from outside the body;

[0450] For example, such parameters may be determined by means (e.g., one or more sensors of one or more types) of the one or more parts of the device that can be inserted into the body.

[0451] Particularly preferably (to generate one or more output sequences) one or more input sequences are used or processed which are determined entirely or at least partially as a function of the (first and / or second) parameters according to the features described above and / or as a function of inferences and / or predictions and / or anticipations and / or simulations made as a function of some of the parameters.

[0452] For example, when training, in particular retraining, the at least one neural network, relationships are learned and / or when operating the at least one neural network, relationships are taken into account between: - one or more first physical parameters and one or more first non-physical parameters of the user's partner; and / or - one or more second physical parameters and one or more second non-physical parameters of the user's partner; and / or - one or more first (physical and / or non-physical) parameters and / or second (physical or non-physical) parameters; and / or one or more stimulations (e.g. the stimulation to be supported and / or the stimulation caused by the device) and an effect, in particular an overall effect achieved, aiming, in particular reaching or maintaining a goal, intermediate goal, target value, etc.

[0453] This may include the recognition and / or learning of one or more (specific) relationships, in particular (specific) correlations, causal and / or temporal relationships, influencing factors, and corresponding (multilateral) mathematical dependencies. Relationships between the respective data can be recognized, learned, and / or considered according to one or more characteristics according to entries in the above list (in any combination).

[0454] The training, in particular retraining, of the at least one neural network can be carried out depending on (first and / or second) data or parameters that originate from a long period of time or a multitude of diverse stimulations or uses of the device or are generated by means of a simulation. Preferably, the training, in particular retraining, and / or operation of the at least one neural network is carried out depending on the (first and / or second) data that comprise parameters (predominantly physical or determined based on physical parameters) or are derived from these parameters and characterize (predominantly) non-physical or general characteristics of the respective persons.

[0455] The stimulation support can be carried out depending on the at least one neural network if it is operated depending on one or more first parameters and / or one or more second parameters which relate to one or more time intervals from the past (e.g. in the last minutes, hours) and / or to the current time interval (e.g. of one or more seconds or minutes) and / or to one or more time intervals in the near future (e.g. parameters predicted, anticipated and / or assumed for the near future).

[0456] The method preferably includes determining, in particular capturing or reading in and / or processing and / or providing: - the first data concerning the user; and / or - the second data concerning the user's partner.

[0457] The (first or second) data, in particular one or more respective (first and / or second) parameters, are detected and / or interpreted using various sensors, in particular a camera, microphone, for detection and / or interpretation (e.g., for facial recognition, detection of physical movements, in particular patterns of physical movements and / or micro-movements, eye parameters, etc.), for example, using a part of the at least one neural network. Preferably, the (first and / or second) data or parameters can be determined entirely or partially using the user device or user account belonging to the device or operatively connected to one or more parts of the device (e.g., parts that can be worn on the body, inserted into the body, or implanted into the body), the remotely arranged computing unit described in this document, or one or more databases.

[0458] The (first or second) data or one or more (first and / or second) parameters can include or be (qualitative and / or quantitative), in particular objectified, objectified and / or statistical measures and / or probability measures, in particular scientific measures characterizing probability distributions. For example, a parameter can characterize a measure of the change or deviation of a corresponding parameter value or a probability measure of the change or deviation. The change or deviation can refer to a general or statistically specific, typical or selected value or a value specific to the user or the user's partner, e.g. an average value known from history or an expected value.

[0459] In particular, one or more (first and / or second) parameters for operating the at least one neural network, in particular the input sequence, identify or take into account a physical, in particular physical, physiological and / or biochemical process (within the respective body). Alternatively or additionally, one or more of the generated information, in particular the output sequence, can identify or take into account parameters for effecting, influencing, in particular optimizing a (the same or a further) physical, in particular physical, psychological and / or biochemical process.

[0460] In particular, supporting the stimulation may comprise influencing one or more (specific) first parameters of a first process (e.g. in a first organ) and / or one or more (specific) second parameters of a second process (e.g. in a second organ), whereby by influencing a specific or (by settings or specifications) determinable pattern of the or mathematical relationships between the: - one or more first parameters of the one or more first processes; and / or - one or more second parameters of the one or more second processes; and / or - one or more second parameters of one or more third processes, in particular processes dependent on at least one first process and / or on the at least one second process (e.g. in the same or a third organ); is sought, in particular achieved and / or maintained.

[0461] These can be physical processes that are particularly relevant in the context of stimulation or in a medical, therapeutic, sporting, or sexual context. For example, depending on input data, which characterizes parameters, in particular a progression of the parameters of a first process, output data, in particular a progression of the parameters, are generated to support the same first process and / or one or more second processes.

[0462] The one or more processes described in this document are considered, in particular, in a functional and / or temporal and / or causal relationship to one another. In particular, these can be viewed or considered as a cascade of processes, whereby one or more first processes cause or significantly influence, in particular control, one or more of the second processes (e.g., functionally, physiologically, biochemically, hormonally, neuronally, physically, etc.).

[0463] For example, at least a neural network can: - depending on the specific and / or determinable (e.g. through settings, specifications and / or feedback) effect, objectives of one or more of the second processes; trained, especially retrained, and / or operated: - to generate output data to support one or more stimulations in relation to one or more of the first processes (e.g. to effect the stimulation or to change and / or supplement the stimulation to be supported or its effect).

[0464] This can refer to one or more (first or second) physical processes and / or one or more (first or second) non-physical or emotional, psychological, and / or cognitive processes. This means that connections between processes of different types can be considered. For example, a conclusion about one or more physical processes can be drawn from the user's verbal and / or non-verbal communication (e.g., to the user's partner, to an avatar of the partner, etc.) and / or parameters of the user's eyes.

[0465] Preferably, this can be done depending on initial data that take into account or characterize a prediction, simulation or anticipation (at least partially explicitly or at least partially implicitly).

[0466] In this way, the neural network can generate, in particular (to a certain extent), optimized output data for a (as precise and / or efficient or desired as possible) objective, in particular the achievement or maintenance of effects, goals, intermediate goals or target values.

[0467] For example, at least one neural network can be trained, in particular retrained, and / or operated: - Determining and / or predicting one or more sensory neural signals in relation to one or more first processes; and then: - to generate output data to support the stimulation, in particular to support one or more second processes; and / or - to support one or more motor neural signals to support one or more second processes; to generate.

[0468] One or more of the steps described above can be carried out (alone or in combination with further steps of the method) by means of at least one (set up and trained for this purpose) neural network.

[0469] This can result in various advantages. For example, the device can consider (even multilateral, complex) relationships, causality, psychosomatic effects, etc. between various (e.g., physical and / or non-physical) processes (e.g., complex cascades of processes). It can also consider relationships that are unknown to the user (including those related to herself and / or her partner) and / or have not been sufficiently researched scientifically.

[0470] The method may comprise determining and / or predicting and / or simulating and / or forming an inference on and / or interpreting sensory neuronal signals, in particular on current and / or predicted values ​​of the sensory signals of the user and / or the user's partner.

[0471] For example, at least one neural network can be set up, trained, in particular retrained to generate output data characterizing an interpretation and / or a conclusion about one or more (specific) sensory neural signals (of the user or the user's partner, in particular concerning one or more processes), in particular characterizing the meaning and / or consequence for one or more (further) processes.

[0472] Alternatively or additionally, at least one neural network can be set up, trained, in particular retrained, to generate output data characterizing one or more (specific) motor neural signals for influencing, in particular supporting, one or more processes (of the user or the user's partner), in particular for bringing about a specific effect in relation to one or more (further) processes.

[0473] For example, the interpretation of certain (sensory and / or motor) neuronal signals can be carried out and / or taken into account in the procedure.

[0474] In this case, the interpretation should be understood in particular as an at least partial and / or specific interpretation. This can, but does not have to, identify all essential information of the respective parameter sequences or the content of the neurological signals. For example, only or primarily an effect that is relevant (e.g. for the application, objectives of the application, etc. of the device) (e.g. in the context of or in supporting the stimulation) can be taken into account. In other words, the neurological signals can be at least partially deciphered or (primarily or only) training, in particular retraining, can be carried out for their specific effect. This can be done (predominantly) end-to-end.

[0475] For example, the stimulation (of the same person or the respective partner) is supported or effected depending on output data of the at least one neural network, which are generated upon training, in particular retraining, and / or operation of the at least one neural network with input data derived from and / or interpreted by the one or more (e.g. sensory and / or motor) neural signals.

[0476] This eliminates the need for a (comprehensive or complete) interpretation of the meaning of these (e.g. in the context of the use of the device).

[0477] Alternatively or additionally, one of a recording of one or more (e.g. sensory and / or motor) neuronal signals, in particular depending on their interpretation or recording of a result of the interpretation, and / or in a (e.g. temporal and / or causal) relationship with the neuronal signals determined (first and / or second) parameters and / or effects, in particular effect sequences, can be selected and / or modified and taken into account in the method.

[0478] For example, depending on the information obtained in this way: - that at least one neural network (e.g. the model or avatar) is trained, in particular retrained and / or operated; and / or - the stimulation (e.g. of the user and / or the user's partner) is supported.

[0479] Alternatively or additionally, supporting the stimulation can include or be a generation of output data to support one or more (sensory and / or motor) neural signals, wherein information determined depending on the output data is delivered to the body in the form of a stimulation sequence and / or one or more nerve pathways or nerve strands or brain areas. In this case, the support of one or more processes can be carried out and / or one or more (e.g. primarily desired) effects, goals, intermediate goals, etc. can be aimed for, in particular achieved and / or maintained. For example, in this way a (body-related) perception can be supported (e.g. an illusion can be created), a perception of a stimulation (to be supported) can be changed and / or supplemented. Alternatively or additionally, one or more processes or connections between them can be supported, in particular adapted, regulated orbe optimized.

[0480] The effect described in this document may be an effect of one or more of the types listed below: - one or more body-related or (predominantly) physical, in particular physiological, biochemical, sympathetic, parasympathetic, endocrine or vascular effects, in particular related to one or more areas or volume areas (e.g. predominantly concerning these); and / or - non-physical or emotional, psychological and / or cognitive effects; and / or - medical or therapeutic effect, in particular progress in healing; and / or - short-term and / or long-term (e.g. lasting after a few days or weeks) effect, particularly with regard to building muscles, creating anchors or conditioning, training (exercising) certain organs, reflexes; and / or - wholly or partially objective (e.g., ascertainable on the basis of the ascertainable, in particular measured, parameters of the effect or processes related to the effect) and / or wholly or partially subjective, in particular encompassing a perception (e.g., ascertainable or interpretable on the basis of the description, specification and / or feedback).

[0481] It may be an effect that is typical or specific for medicine, therapy, massage, sport and / or eroticism or for the application of the device, or at least the effects relevant for these are predominantly considered or processed.

[0482] For example, a desired effect (e.g. perception), goal, intermediate goal (e.g. in relation to one or more areas of the surfaces or volume areas of the respective body) can include or be the result of one or more further effects (e.g. of one or more further areas of the surfaces or volume areas of the body).

[0483] For example, it can be a close-to-body, particularly physical perception (e.g. a sensation on a surface or volume area of ​​the body that corresponds to certain characteristics).

[0484] The one or more effects (as well as other characteristics described in this document in the form of, in particular, qualitative and / or quantitative and / or absolute or relative measures) may be characterized or processed as parameters or data, in particular data sequences.

[0485] Preferably, the at least one neural network is set up, trained, in particular retrained, and / or operated to take into account one or more (possibly bilateral or multilateral) relationships between several (different) effects (e.g. with regard to different processes and / or areas of the surfaces or volume areas), in particular to generate output data that take into account the relationships between several effects.

[0486] Preferably, the at least one neural network is configured, trained, in particular retrained, and / or operated to generate output data for the pursuit of an effect, for the pursuit, in particular, of achieving or maintaining a goal, intermediate goal, and / or target value, taking into account one or more relationships between the desired effect, the goal or target value, and one or more further effects, in particular those related to further processes. For example, an optimized pursuit, achievement, or maintenance of the goal can be carried out, or a corresponding optimization task can be solved.

[0487] For example, at least one neural network is set up, trained, in particular retrained, and / or operated, one or more effects, in particular of wholly or partially objective and / or wholly or partially subjective perceptions or sensations, in particular dependent on or in accordance with: - in a perceived event that occurred in the past (e.g. stored); and / or - from a specification and / or feedback, in particular depending on a description of the characteristics of the effect or the desired change or addition; and / or - a changed, particularly modified, effect that occurred in the past. The change, particularly modification, can be a measure of one or more (desired) differences, depending on a specification and / or feedback.

[0488] For example, an effect that is similar to a changed effect from the past (e.g. according to one or more characteristics) (e.g. from a fully or partially real or fully or partially teleoperated stimulation), in particular by means of a specification and / or feedback, can be determined as a goal, intermediate goal, target value and / or aimed for, in particular achieved or maintained, when supporting the stimulation.

[0489] Alternatively or additionally, the stimulation can be supported depending on the data characterizing a behavior, preferences, wishes, intentions, type of actions, reactions and / or interactions and / or character of the user and / or the user's partner (e.g. in the context of the use of the device or the identifiable (desired or to be avoided) effects, goals, etc.). Corresponding parameters can be determined at least partially depending on the first parameter and / or second parameter and / or relationships between them, e.g. explicitly or implicitly from data over the course of longer periods of time. Parameters of the stimulation behavior and / or character of the user or the user's partner are preferably determined depending on several previous stimulations.

[0490] Supporting the stimulation can, for example, depend on a conscious expression of will (e.g. an attitude, consent, no refusal and / or an explicit operating action by the user and / or the user's partner). For example, supporting one or more first persons, in particular certain variants of support described in this document (e.g. individually in each case), can require (explicit and / or implicit) consent from the user's partner or vice versa. For example, supporting one or more first persons in the case of stimulation with the user's partner depends on checking for (explicit and / or implicit) consent from the user's partner (or vice versa).

[0491] The stimulation (to be supported) involving the user and the user's partner can be or include (e.g. bilateral, multilateral) stimulation between the user and the user's partner.

[0492] Supporting the stimulation is to be understood in particular as supporting the arrangement of the stimulation and / or the course of the stimulation and / or with regard to the content of the stimulation (e.g. one or more stimulation sequences) and / or with regard to the achievement of one or more goals of the stimulation, desired effects and / or reactions.

[0493] For example, the at least one avatar (of the user or the user's partner) can generate the report information (e.g., for the person represented by the avatar and / or for the respective partner). The report information relating to at least one virtual stimulation can be recorded and / or converted into a form perceivable by humans. For example, the report information can be made visually, aurally, haptically, olfactorily, or gustatorily perceptible. This can be done, for example, from the perspective of the avatar (e.g., at least partially according to the "first person view" principle) and / or from a perspective different from the perspective of the avatar.

[0494] For example, one or more users can operate their avatar (also understood as being assigned to them) as part of the at least partially virtual stimulation. This can be done using avatars that are trained depending on various parameters related to the person (e.g., the first parameters and / or second parameters).

[0495] This can be configured and / or trained to determine, in particular, simulate, the effects of various perceptions and / or reactions to them. The perception of at least partially real and / or at least partially virtual circumstances can be trained and / or operated depending on the perception of one or more real persons, ...

Claims

[1] Method (V, V1, V2) for supporting a stimulation (ISTSN, STN) of a user (N), wherein a stimulating device (SVN, SVP) for stimulating (STN, STP) the user (N) and / or the partner (P) of the user (N) is operated (S40, S50) depending on a neural network (DNN1, DNN2, DNNZ). [2] A method according to claim 1, comprising: - Determining (S10) the first data (D1, P1, ...) concerning the user (N); and / or - Determining (S10') the second data (D2, P2, ...) concerning a partner (P) of the user (N); and: - training (S20), in particular retraining (S20'), and / or operating (S30) the neural network (DNN1, DNN2, DNNZ) depending on the first data (D1, P1, ...) and / or on the second data (D2, P2, ...); - Operating (S40) the stimulating device (SVN) of the user (N) and / or the stimulating device (SVP) of the partner (P) of the user (N) depending on the neural network (DNN1, DNN2, DNNZ). [3] Method (V, V1, V2) according to claim 1 or 2, wherein which comprises or forms at least one neural network (DNN1, DNN2, DNNZ): - a part of a first model (MN) of the user (N), in particular specific to the user (N); and / or a part of a second avatar (AVN) of a partner (P) of the user (N), in particular specific to the partner (P) of the user (N) and / or specific to the user (N); and / or - a part of a second model (MP) of a partner (P) of the user (N), in particular specific for the partner (P) of the user (N), and / or a part of a first avatar (AVN) of the user (N), in particular specific for the user (N) and / or for the partner (P) of the user (N). [4] Method (V, V1, V2) according to one or more of the preceding claims, where at least one neural network (DNN1, DNN2, DNNZ): - depending on an action, reaction and / or interaction of the user (N); and / or - depending on the action, reaction and / or interaction of the partner (P) of the user (N); trained (S20), in particular retrained (S20'), is or is being, and / or operated (S30). [5] Method (V, V1, V2) according to one or more of the preceding claims, comprising: - Prediction and / or anticipation and / or simulation of an action, reaction and / or interaction of the user (N); and / or - Prediction and / or anticipation and / or simulation of an action, reaction and / or interaction of the partner (P) of the user (N); and - training (S20), in particular retraining (S20'), and / or operating (S30) the neural network (DNN1, DNN2, DNNZ) depending on the result of the prediction and / or anticipation and / or simulation; and / or - Operating (S40, S50) the stimulating device (SVN, SVP) depending on the result of the prediction and / or anticipation and / or simulation. [6] Method (V, V1, V2) according to one or more of the preceding claims, wherein: - the first data (D1, P1) concerning the user (N), in particular data (D1, P1, ...) characterising her state, one or more physical movements and / or data (D1, P1) characterising one or more of her physical processes and / or data (D1, P1) characterising one or more of her non-physical processes; and / or - Inputs, specifications (VGN) and / or feedback (FBN) and / or needs of the user (N); and / or - the second data (D2, P2) concerning the partner (P) of the user (N), in particular data characterising the state (P2, ...), one or more physical movements and / or data (D2, P2) characterising one or more of his physical processes and / or data (D2, P2) characterising one or more of his non-physical processes; and / or - Inputs, specifications (VGN) and / or feedback (FBN) and / or needs of the partner (P) of the user (N); processed, in particular interpreted, predicted, anticipated and / or simulated: depending on one or more parameters that are characteristic of: - the context and / or nature of one or more previous or current wishes, intentions, actions, reactions of the user (N) and / or the user's partner (P); and / or - the first state, in particular characterising the phase of stimulation (ISTSN, STN) and / or the effect (WSN) of the stimulation (ISTSN, STN) on the user (N); and / or - the second state, in particular characterising the phase of stimulation and / or the effect (WSP) of the stimulation (ISTSP, STP) on the partner (P) of the user (N). [7] Method (V, V1, V2) for training (S20), in particular retraining (S20'), a neural network (DNN1, DNN2, DNNZ) for operating (S40) a stimulating device (SVN, SVP) for stimulating (STN, STP) a user (N), wherein, depending on the trained (S20), in particular retrained (S20'), neural network (DNN1, DNN2, DNNZ), a stimulation (ISTSN, STN) of the user (N) and / or a stimulation (ISTSP, STP) of the partner (P) of the user (N) can be supported by means of the device (SVN, SVP). [8] Neural network (DNN1, DNN2, DNNZ), wherein the neural network (DNN1, DNN2, DNNZ) is designed, in particular trained (S20) and / or retrainable (S20') for operating (S40, S50) a stimulating device (SVN, SVP) to support the stimulation (ISTSN, STN) of a user (N) and / or the stimulation (ISTSP, STP) of the partner (P) of the user (N). [9] Neural network (DNN1, DNN2, DNNZ) according to claim 8, wherein the neural network (DNN1, DNN2, DNNZ) comprises or forms: - a part of a first model (MN) of the user (N), in particular specific to the user (N), and / or a part of a second avatar (AVN) of a partner (P) of the user (N), in particular specific to the user (N)'s partner (P) and / or specific to the user (N); and / or - a part of a second model (MP) of a partner (P) of the user (N), in particular specific for the partner (P) of the user (N), and / or a part of a first avatar (AVN) of the user (N), in particular specific for the user (N) and / or for the partner (P) of the user (N). [10] Stimulating device (SVN, SVP) for supporting the stimulation (ISTSN, STN) of a user (N) and / or the partner (P) of the user (N), wherein the stimulating device (SVN, SVP) is operable (S40, S50) depending on the operation (S30) of a neural network (DNN1, DNN2, DNNZ). [11] Device (SVN, SVP) for training (S20), in particular retraining (S20'), a neural network (DNN1, DNN2, DNNZ), wherein, depending on the neural network (DNN1, DNN2, DNNZ), a stimulating device (SVN, SVP) for supporting the stimulation (ISTSN, STN) of a user (N) and / or the partner (P) of the user (N), in particular a device (SVN, SVP) according to claim 10, is operable (S40, S50). [12] User device (AGN, AGN', AGP, AGP'), wherein the user device (AGN, AGN', AGP, AGP') is configured to operate (S40, S50) as part of the stimulating device (SVN, SVP) or to operate the stimulating device (SVN, SVP) to support a stimulation (ISTSN, SVN) of a user (N) and / or the partner (P) of the user (N), wherein the user device (AGN, AGN', AGP, AGP') is configured to train (S20), retrain (S20'), and / or operate (S30) at least one neural network (DNN1, DNN2, DNNZ) to operate (S40, S50) at least a part of the device (SVN, SVP) of the user (N) or a second part of the device (STV, STP) or a second device (SVP) of the partner (P) the user (N) is set up. [13] System comprising a stimulating device (SVN) for supporting the stimulation (ISTSN, STN) of a user (N) and a second device (SVP), wherein The second device (SVP) is: - a device (SVP) to assist the stimulation (ISTSP, STP) of the user’s (P) partner (P); and / or - it is a device (SVP) for determining and / or processing the data (D2, P2) relating to the partner (P) of the user (N); and where: - the stimulation (STV) of the user (N) and / or a stimulation (STP) of the partner (P) of the user (N) is carried out depending on the operation (S30) of a neural network (DNN1, DNN2, DNNZ). [14] Computer program product for supporting a stimulation (ISTSN, STN) of a user (N), wherein the computer program product is designed, when executed on one or more computing units: - a stimulating device (STV, STP) of the user (N); and / or - a first user device (AGN, AGN') of the user (N) configured to operate the stimulating device (STV, STP); and / or - a second part of the device (STV, STP) or a second device (SVP) of the partner (P) of the user (N); and / or - a second user device (AGP, AGP') of the partner (P) of the user (N) configured to operate a second part of the device (STV, STP) or a second device (SVP) of the partner (P) of the user (N); and / or - a remotely operable computing unit (SERV); to carry out a method (V, V1, V2) according to one of claims 1 to 7. [15] Computer program product according to claim 14, wherein the computer program product is designed to set up, update, train (S20), in particular retraining (S20'), and / or operate (S30) at least one neural network (DNN1, DNN2, DNNZ), wherein the neural network (DNN1, DNN2, DNNZ): - a part of a first model (MN) of the user (N) and / or a part of a second avatar (AVN) of a partner (P) of the user (N); and / or - a part of a second model (MP) of a partner (P) of the user (N) and / or a part of a first avatar (AVN) of the user (N); includes or forms. [16] Computer program product according to claim 14 or 15, wherein the computer program product comprises an essential and / or specific part of the data or has an interface (API) for exchanging an essential and / or specific part of the data, wherein the data is: - data of at least one neural network (DNN1, DNN2, DNNZ); and / or - data for training (S20), in particular retraining (S20'), in particular specific training data (TDN, TDP) or one or more criteria, rules, logics, regulations and / or parameters for training (S20), in particular retraining (S20') of at least one neural network (DNN1, DNN2, DNNZ); and / or - data for operating (S30) the at least one neural network (DNN1, DNN2, DNNZ); is.

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