Massage assisting method and device, equipment, storage medium and program product

Abstract

The invention discloses a massage assisting method, a massage assisting device, massage assisting equipment, a storage medium and a computer program product, and relates to the technical field of massage assistion.The massage assisting method includes the steps that original physiological data of a user, the current excitation stage of the user and the current equipment state of the massage assisting equipment serve as input data; and inputting the information into a control strategy generation model of the user, generating a control strategy of the massage auxiliary equipment by the control strategy generation model, and further adjusting the equipment state of the massage auxiliary equipment through the latest control strategy. Therefore, the control strategy of the massage auxiliary equipment is deduced based on the input data through the control strategy generation model, so that the massage auxiliary equipment can adapt to the individual difference and the actual use state of the user based on the latest control strategy, and personalized and flexible massage assistance can be carried out by the massage auxiliary equipment.

Description

Technical Field

[0001] The present application relates to the technical field of massage assistance, and particularly relates to a massage assistance method, a massage assistance device, a massage assistance equipment, a storage medium, and a computer program product. Background Art

[0002] Currently, there are various types of massagers on the market. Especially as people's attention to private health and pleasant experience continues to increase, various massage assistance equipment belonging to adult sexual health products are gradually developing from traditional manual or mechanical equipment towards intelligent and personalized equipment.

[0003] However, in the existing massage assistance equipment, usually only several gears are preset or different vibration modes are preset. Users can only manually switch among fixed gears or modes, and the massage assistance equipment cannot adjust itself according to the user's real-time physiological and / or psychological state, making it difficult for the current massage assistance equipment to provide personalized and flexible massage assistance according to the individual differences and actual usage status of users.

[0004] The above content is only used to assist in understanding the technical solution of the present application and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main purpose of the present application is to provide a massage assistance method, a massage assistance device, a massage assistance equipment, a storage medium, and a computer program product, aiming to solve the technical problem that it is difficult for the current massage assistance equipment to provide personalized and flexible massage assistance according to the individual differences and actual usage status of users.

[0006] To achieve the above purpose, the present application proposes a massage assistance method. The massage assistance method is applied to a massage assistance equipment, and the massage assistance method includes:

[0007] Obtain the original physiological data of the user who is using the massage assistance equipment;

[0008] Generate a control strategy for the massage assistance equipment based on a model generated from the user's original physiological data, the excitement stage where the user is currently located, the current equipment state of the massage assistance equipment, and the user's control strategy;

[0009] Adjust the equipment state of the massage assistance equipment through the control strategy.

[0010] In an embodiment, before the step of generating a control strategy for the massage assistance equipment based on a model generated from the user's original physiological data, the excitement stage where the user is currently located, the current equipment state of the massage assistance equipment, and the user's control strategy, it includes:

[0011] Obtain the first training data of the user; wherein, the first training data includes the user's original physiological data and the excitement stage during a historical period, and the device state of the massage assistance device when the user performs assisted massage during the historical period;

[0012] Train a control strategy generation model for the user according to the first training data of the user.

[0013] In an embodiment, before the step of generating a control strategy for the massage assistance device based on the user's original physiological data, the current excitement stage of the user, the current device state of the massage assistance device, and the user's control strategy generation model, it includes:

[0014] Obtain the first training data of multiple different users; wherein, the first training data includes the original physiological data and the excitement stage of different users during a historical period, and the device state of the massage assistance device when different users perform assisted massage during the historical period;

[0015] Train a general model according to the first training data of multiple different users;

[0016] Fine-tune the general model based on the usage preferences of the current user to obtain a control strategy generation model for the current user.

[0017] In an embodiment, after the step of obtaining the original physiological data of the user using the massage assistance device, it includes:

[0018] Identify the current excitement stage of the user based on the user's original physiological data and the excitement stage identification model.

[0019] In an embodiment, before the step of identifying the current excitement stage of the user based on the user's original physiological data and the excitement stage identification model, it includes:

[0020] Obtain second training data; wherein, the second training data includes the user's original physiological data and the labeled data corresponding to the excitement stage during a historical period;

[0021] Train an excitement stage identification model for the user according to the second training data.

[0022] In an embodiment, after the step of obtaining the original physiological data of the user using the massage assistance device, it further includes:

[0023] According to the detection conditions for physiological anomaly detection of physiological data, real-time anomaly detection is performed on the original physiological data of the user;

[0024] After detecting a target physiological anomaly under the target detection conditions, the massage assistance device is controlled to perform a safety response action corresponding to the target detection conditions and / or the target physiological anomaly.

[0025] In addition, to achieve the above object, the present application also proposes a massage assistance device, which is applied to a massage assistance device, and the massage assistance device includes:

[0026] An acquisition module, configured to acquire the original physiological data of a user who is using the massage assistance device;

[0027] A generation module, configured to generate a control strategy of the massage assistance device by generating a model based on the original physiological data of the user, the current excitement stage of the user, the current device state of the massage assistance device, and the control strategy of the user;

[0028] An adjustment module, configured to adjust the device state of the massage assistance device through the control strategy.

[0029] In addition, to achieve the above object, the present application also proposes a massage assistance device, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the massage assistance method as described above.

[0030] In addition, to achieve the above object, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the massage assistance method as described above are implemented.

[0031] In addition, to achieve the above object, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the massage assistance method as described above are implemented.

[0032] One or more technical solutions proposed by the present application have at least the following technical effects:

[0033] In this application, the user's original physiological data, the current arousal stage of the user, and the current device state of the massage assistance device are used as input data and input into the user's control strategy generation model. The control strategy generation model generates the control strategy of the massage assistance device, and then adjusts the device state of the massage assistance device through the latest control strategy. Thus, by inferring the control strategy of the massage assistance device based on the foregoing input data through the control strategy generation model, the massage assistance device can adapt to the individual differences and actual usage states of the user based on the latest control strategy, enabling it to provide personalized and flexible massage assistance. Further, an intelligent control solution for the massage assistance device that provides more accurate and personalized assistance to the user can better help the user enter and exit each stage of the sexual arousal cycle more comfortably. Description of the Drawings

[0034] The drawings herein are incorporated into and constitute a part of this specification, showing embodiments consistent with this application and, together with the specification, are used to explain the principles of this application.

[0035] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative efforts.

[0036] Figure 1 It is a schematic flowchart provided for the first embodiment of the massage assistance method of this application;

[0037] Figure 2 It is the first schematic flowchart provided for the second embodiment of the massage assistance method of this application;

[0038] Figure 3 It is the second schematic flowchart provided for the second embodiment of the massage assistance method of this application;

[0039] Figure 4 It is the background schematic diagram provided for the massage assistance method of this application;

[0040] Figure 5 It is the application scenario schematic diagram provided for the massage assistance method of this application;

[0041] Figure 6 It is the module structure schematic diagram of the massage assistance device according to the embodiment of this application;

[0042] Figure 7 It is the device structure schematic diagram of the hardware operating environment involved in the massage assistance method according to the embodiment of this application.

[0043] The implementation, functional features, and advantages of the objectives of this application will be further described with reference to the embodiments and the drawings. Specific Embodiments

[0044] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not used to limit the present application.

[0045] To better understand the technical solutions of the present application, the following will be described in detail in conjunction with the accompanying drawings of the specification and specific embodiments.

[0046] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, a massage assistance device, etc. that can implement the above functions. The following takes the massage assistance device as an example to illustrate this embodiment and the following embodiments.

[0047] Based on this, the embodiment of the present application provides a massage assistance method, referring to Figure 1 , Figure 1 which is a schematic flowchart of the first embodiment of the massage assistance method of the present application.

[0048] In this embodiment, the massage assistance method is applied to a massage assistance device, and the massage assistance method includes steps S10 to S30:

[0049] Step S10, obtaining the original physiological data of the user who is using the massage assistance device;

[0050] The original physiological data of the user who is using the massage assistance device includes at least one or more of the following: heart rate, heart rate variability HRV, body surface temperature, skin conductance, etc., as well as feature data further extracted from the physiological data, such as the RMSSD index used to characterize the vagus nerve tension in heart rate variability HRV, the pNN20 index used to characterize the short-term heart rate regulation ability, and the SD1 / SD2 index used to characterize the balance ability of the autonomic nervous system. Among them, RMSSD represents the short-term changes between adjacent heartbeats and the rhythm of the heart rate, and is obtained by calculating the root mean square value of the difference between adjacent R-R intervals; pNN20 refers to the percentage of the number of adjacent normal heartbeat interval differences greater than 20 milliseconds in the total number of heartbeat intervals; SD1 / SD2 refers to the balance state between the sympathetic nerve and the parasympathetic nerve in the autonomic nervous system. SD1 mainly reflects the activity of the parasympathetic nerve, SD2 mainly reflects the activity of the sympathetic nerve, and the ratio of SD1 / SD2 can be used as an important index to evaluate the balance of the autonomic nervous system. A decrease in the ratio indicates a relatively enhanced activity of the sympathetic nerve, and an increase in the ratio indicates a relatively enhanced activity of the parasympathetic nerve. In this embodiment, the index parameters of the original physiological data are not limited, and may be more or fewer data of the original physiological data mentioned above, such as sound, breathing frequency, body shaking degree, etc.

[0051] Various sensors for collecting various raw physiological data can be installed on the massage auxiliary device. In this embodiment, the number and installation position of the sensors for collecting raw physiological data are not limited.

[0052] Other supporting equipment such as microphones, speakers, glare lights, humidifiers, heaters, hair dryers, flappers, etc. can also be installed on the massage auxiliary device to further enhance the massage experience of the massage auxiliary device. It should be noted that the supporting equipment can be installed separately as accessories or as components of the massage auxiliary device. In this embodiment, there is no limitation on the number, installation location, and installation method of the supporting equipment of the massage auxiliary device.

[0053] Furthermore, the massage auxiliary device can also be linked with other product devices such as televisions, projectors, VR devices, mobile smart terminals, etc., and provided to users in the form of distributed devices or split devices. In this embodiment, the number, installation location, product form and type of the aforementioned other product devices are not limited.

[0054] The number of motors or electric machines used to realize the massage action on the massage auxiliary device can be at least 1, 3, 5 or more or less. In this embodiment, the number and installation position of the motors or electric machines are not limited.

[0055] The massage auxiliary device can be a massage auxiliary device such as a sex massager as an adult sexual health product, or a massager for the neck, head, back, hands and feet, chest and abdomen, etc. In this embodiment, the massage parts of the massage auxiliary device are not limited.

[0056] In this embodiment, the gender of the user is not limited, and accordingly, the size, shape and other equipment parameters of the massage auxiliary equipment can be designed differently according to the physiological structure and index differences of the massage parts of men and women. For example, compared with adult women of the same height and age, the arm circumference and waist circumference of adult males are generally larger than those of adult females. Therefore, for one form of massage auxiliary equipment: an arm massager, the male arm massager should be larger in size than the female arm massager. In addition, the auxiliary massager can also be customized.

[0057] There is no limitation on the application object of the massage auxiliary device, which can be human or non-human animals such as cattle, sheep, horses, pigs, dogs and other livestock animals. When used for livestock animals, the massage auxiliary device can help livestock animals to induce labor and estrus, etc., to improve the reproduction rate of livestock animals. Correspondingly, the excitement stage is the excitement stage of the livestock animals, the control strategy generation model is the control strategy generation model of the livestock animals, and the first training data is the training data of the livestock animals.

[0058] Step S20: Generate a model based on the user's original physiological data, the current arousal stage of the user, the current device state of the massage assistance device, and the user's control strategy, and generate a control strategy for the massage assistance device.

[0059] Step S30: Adjust the device state of the massage assistance device through the control strategy.

[0060] It should be noted that the user's original physiological data, the current arousal stage of the user, and the current device state of the massage assistance device serve as the input data of the user's control strategy generation model, and the control strategy of the massage assistance device serves as the output data of the user's control strategy generation model.

[0061] The sexual arousal cycle can be divided into different stages and cycles. In different arousal stages, the user has different physiological and psychological states. In one embodiment, the sexual arousal cycle can be divided into a calm period, an excitement period, a plateau period, an orgasm period, and a decline period.

[0062] In this embodiment, the current arousal stage of the user can be determined based on the user's original physiological data, or the current arousal stage of the user can be determined based on the user's command instruction. In this embodiment, the method for determining the current arousal stage of the user is not limited.

[0063] The current device state of the massage assistance device refers to the execution state of one or more of the actuating devices and / or action execution devices in the device. For example, the vibration frequency, intensity, rhythm, continuous vibration duration, vibration interval duration, etc. of a motor or an electric machine. The real-time indicators or parameters of the actuating device and / or action execution device can also be used as the current device state of the massage assistance device. It should be noted that the above-mentioned other supporting devices and / or other product devices can be used as the actuating device and / or action execution device.

[0064] The user's control strategy generation model is a pre-trained intelligent model, which can be trained based on reinforcement learning. In this embodiment, the original model structure and training method of the model are not limited.

[0065] The control strategy of the massage assistance device refers to the control strategy for adjusting the device state of the massage assistance device. It is possible to adjust the execution state of one or more of the actuating devices and / or action execution devices in the massage assistance device, or real-time indicators and parameters, or simply adjust the gears and modes of the massage assistance device. It should be noted that the massage assistance device has a control cycle. In the current control cycle, the steps in the massage assistance method of this embodiment are executed to adjust the device state of the massage assistance device in the next control cycle. Among them, the duration of the control cycle can be adjusted. The shorter the control cycle, the finer the control and the more sensitive the feedback. The longer the control cycle, the more stable the control and the more accurate the feedback.

[0066] In the existing massage assistance devices, 1. Individual differences in being stimulated are not considered: Different users have significant differences in preferences for vibration intensity, frequency, etc. Single or a small number of preset modes and gears are difficult to meet diverse needs. 2. Lack of automation and feedback mechanism: Traditional devices generally do not have the function of real-time monitoring during use and cannot make immediate adjustments according to the physiological or psychological responses of users. 3. Unable to recognize different stages of the sexual arousal cycle and unable to provide differentiated stimulation for different stages.

[0067] Although some massage devices that can be connected to mobile phone apps, remotely controlled, or have simple physiological monitoring have emerged currently, the main limitation lies in the lack of personalization in existing massage assistance devices: Existing products can only provide limited parameter adjustments and it is difficult to automatically generate personalized vibrations according to the physical differences and preferences of different users and the actual usage status of the users.

[0068] In response to the above-mentioned shortcomings and limitations of lack of personalization, in this embodiment, the original physiological data of the user, the current excitement stage of the user, and the current device state of the massage assistance device are used as input data and input into the control strategy generation model of the user. The control strategy generation model generates the control strategy of the massage assistance device, and then adjusts the device state of the massage assistance device through the latest control strategy. Thus, by the control strategy generation model inferring the control strategy of the massage assistance device based on the foregoing input data, the massage assistance device can adapt to the individual differences and actual usage status of the user based on the latest control strategy, enabling it to perform personalized and flexible massage assistance. Further, it provides a more accurate and personalized intelligent control solution for the massage assistance device for the user, which can better help the user enter and exit each stage of the sexual arousal cycle more comfortably.

[0069] Based on the first embodiment of this application, in the second embodiment of this application, for the same or similar content as in the above-mentioned first embodiment, reference can be made to the above introduction and will not be elaborated hereinafter. On this basis, please refer to Figure 2 , before step S20, it includes:

[0070] Step A1: Obtain the first training data of the user; wherein, the first training data includes the user's original physiological data and the excitement stage during the historical period, and the device state of the massage assistance device when the user performs assisted massage during the historical period;

[0071] Step A2: Train a control strategy generation model of the user based on the user's first training data.

[0072] In this embodiment, a training method for a control strategy generation model of a user is provided.

[0073] In this embodiment, the user's original physiological data and the excitement stage during the historical period are obtained, and the device state of the massage assistance device when the user performs assisted massage during the historical period. The obtained data is used as the user's first training data. Exemplarily, before mass-producing the massage assistance device or during the actual use process of the user (the user voluntarily participates), the user's heart rate, HRV, motor control parameters during use, and the user's subjective evaluation of the entire use process and different stages of the sexual arousal cycle can be collected, and the collected data is used as the first training data.

[0074] Further, a control strategy generation model of the user is trained based on the obtained first training data of the user. Exemplarily, the user's subjective evaluation of the entire use process and different stages of the sexual arousal cycle can be used as label data, and the control strategy generation model of the user can be trained by means of reinforcement learning.

[0075] In a feasible implementation manner, please refer to Figure 3 , before step S20, it includes:

[0076] Step B1: Obtain the first training data of multiple different users; wherein, the first training data includes the original physiological data and the excitement stage of different users during the historical period, and the device state of the massage assistance device when different users perform assisted massage during the historical period;

[0077] Step B2: Train a general model based on the first training data of multiple different users;

[0078] Step B3: Fine-tune the general model based on the usage preferences of the current user to obtain a control strategy generation model of the current user.

[0079] In this embodiment, another training method for a control strategy generation model of a user is also provided.

[0080] In this embodiment, the original physiological data of multiple different users and their excited stages within a historical period are obtained, as well as the device states of the massage assistance device when multiple different users perform assisted massage within the historical period. The obtained data is used as the first training data for multiple different users. The data acquisition method is similar to the above data acquisition method and will not be elaborated here.

[0081] Furthermore, based on the first training data of multiple different users obtained, a general model is trained, and then based on the usage preferences of the current user, the general model is fine-tuned to obtain a control strategy generation model for the current user. Exemplarily, a general model can be obtained through differential training based on the first training data of multiple different users by means of federated learning while protecting the privacy of users.

[0082] In this embodiment, the trained control strategy generation model can be deployed in the cloud / background and can be remotely and real-time called by the local massage assistance device.

[0083] In this embodiment, the control strategy generation model can be continuously optimized based on the usage data accumulated during the use of the used massage assistance device, and the control strategy recommendation becomes more and more accurate through continuous learning.

[0084] Based on the first embodiment of the present application, in the third embodiment of the present application, the same or similar content as in the above-mentioned first embodiment can be referred to the above introduction and will not be elaborated later. On this basis, after step 10, it includes:

[0085] Step C: Based on the original physiological data of the user and the excited stage recognition model, identify the excited stage where the user is currently located.

[0086] The existing massage assistance devices currently have the following disadvantages and limitations: 1. Single monitoring means: It can only record the usage duration or simple vibration intensity, and cannot deeply collect physiological data to judge the excitement level or orgasm stage of the user. 2. Lack of effective algorithm models: Even if some massagers collect certain physiological signals, they lack accurate recognition algorithms for different stages in the sexual arousal cycle and it is difficult to achieve true adaptive vibration control.

[0087] In response to this, in this embodiment, a new method for determining the excited stage where the user is currently located is proposed. Based on the excited stage recognition model, the original physiological data of the user is used as its input data, and the excited stage where the user is currently located is used as its output data. That is to say, using the excited stage recognition model, the original physiological data of the user is inferred to obtain the excited stage where the user is currently located.

[0088] In a feasible implementation manner, before step C, it includes:

[0089] Step D1: Obtain the second training data; wherein, the second training data includes the user's original physiological data within the historical period and the annotation data corresponding to the excitement stage.

[0090] Step D2: Train an excitement stage recognition model for the user based on the second training data.

[0091] In this embodiment, a training method for an excitement stage recognition model of a user is also provided.

[0092] In this embodiment, the user's original physiological data within the historical period and the annotation data corresponding to the excitement stage are obtained, and the obtained data is used as the second training data of the user. Exemplarily, during the use of the massage assistance device, the vibration intensity (control instruction) of the motor and the user's physiological data (ECG / heart rate) are recorded. During the trial or research stage, means such as the user's self-report, button interaction, or feedback after use can be used to label the identification points between stages such as the high-emotion points and possible orgasm points that occur during use, so as to form training data.

[0093] Furthermore, based on the obtained second training data of the user, an excitement stage recognition model of the user is trained. Exemplarily, HRV analysis is performed on the collected ECG data, time domain, frequency domain, or non-linear features are extracted, and combined with the annotation information, the usage process is divided into several sexual arousal stages. Based on these features and annotations, a temporal classification model (such as RNN, LSTM, etc.) is trained to automatically identify whether the user is in a calm, excited, plateau, orgasm, or decline stage.

[0094] As mentioned above, currently existing massage assistance devices fail to or rarely use ECG / HRV information to judge the user's excitement level and / or sexual arousal stage, while this embodiment proposes a new method combining HRV features and a temporal classification model, which can more accurately identify the sexual arousal stage of the user.

[0095] Based on the first embodiment of the present application, in the fourth embodiment of the present application, the same or similar content as that in the above-mentioned embodiment 1 can be referred to the above introduction and will not be elaborated hereinafter. On this basis, after step 10, it includes:

[0096] Step E1: Perform real-time anomaly detection on the user's original physiological data according to the detection conditions for physiological anomaly detection of the physiological data.

[0097] Step E2: After detecting the target physiological anomaly of the target detection condition, control the massage assistance device to perform a safety response action corresponding to the target detection condition and / or the target physiological anomaly.

[0098] In this embodiment, a multi-level safety monitoring method during the use of a massage assistance device is provided.

[0099] In this embodiment, according to the detection conditions for physiological abnormality detection of physiological data, real-time abnormality detection is performed on the user's original physiological data. Among them, by way of example, the detection conditions for physiological abnormality detection include a heart rate > 140 bpm for 3 consecutive seconds, and the corresponding target physiological abnormality is tachycardia; a decrease in RMSSD > 50% for 8 seconds, and the corresponding target physiological abnormality is a sudden drop in heart rate variability; and a standard deviation of RR interval > 150 ms, and the corresponding target physiological abnormality is arrhythmia. After detecting the target physiological abnormality of the target detection condition, the massage assistance device is controlled to execute the safety response actions corresponding to the target detection condition and / or the target physiological abnormality. Among them, by way of example, the safety response action corresponding to the massage assistance device during tachycardia is that the motor gradient is reduced to 30% of the baseline; the safety response action corresponding to the massage assistance device during a sudden drop in heart rate variability is to switch to the emergency relaxation mode; and the safety response action corresponding to the massage assistance device during arrhythmia is to stop urgently and send a Bluetooth alarm.

[0100] In one embodiment, the safety constraint conditions for abnormality detection can also be added to the training process of the user's control strategy generation model, so as to train a control strategy generation model that is safer and more user-friendly for the user through the safety constraint PPO algorithm.

[0101] Based on the first embodiment of the present application, in the fifth embodiment of the present application, the same or similar content as in the above-mentioned first embodiment can be referred to the above introduction and will not be repeated hereinafter. On this basis, the method further includes:

[0102] Obtain and upload the original physiological data of the user who is using the massage assistance device to the background;

[0103] In the background, based on the user's original physiological data, the current excitement stage of the user, the current device state of the massage assistance device, and the user's control strategy generation model, a control strategy for the massage assistance device is generated;

[0104] Adjust the device state of the massage assistance device according to the control strategy received from the background.

[0105] In one embodiment, in addition to components and modules such as sensors, storage modules, and motors, an algorithm module and a model can also be integrated into the massage assistance device. For example, in the massage assistance device, one or more of the following can also be deployed: an HRV algorithm module (which calculates HRV features based on the input ECG / heart rate data), an arousal stage recognition model training module, an arousal stage recognition model, a control strategy generation model training module, a control strategy generation model, a motor control module, etc. In this embodiment, the algorithms, modules, and models additionally deployed to the massage assistance device are not limited.

[0106] In another embodiment, please refer to Figure 4 , in the massage assistance device, components and modules such as sensors, storage modules, and motors are included. One or more of the following are deployed on the background, cloud, or cloud server: an HRV algorithm module, an arousal stage recognition model training module, an arousal stage recognition model, a control strategy generation model training module, a control strategy generation model, a motor control module, etc. There is a communication connection between the massage assistance device and the exemplary background. The massage assistance device stores the sensor data collected by the sensor in the local storage module and transmits the sensor data to the background through the aforementioned communication connection. After the background processes the sensor data, it feeds back the control strategy of the massage assistance device to the massage assistance device to adjust the device state of the massage assistance device. In this embodiment, the algorithms, modules, and models deployed on the background, cloud, or cloud server are not limited.

[0107] In an application scenario of a massage assistance method of the present application, please refer to Figure 5 : The user can use the massage assistance device, i.e., the intelligent massager, at home. After the massage assistance device is turned on, on the one hand, it monitors the user's heart rate / HRV, and on the other hand, according to the recognized sexual arousal stage, it dynamically adjusts the vibration intensity, rhythm, frequency, etc. of the massage assistance device, enabling the user to smoothly experience the process of each sexual arousal stage. In addition, the user can also switch to the manual mode at any time for customized use.

[0108] Among them, the electrocardiogram (ECG) signal of the user is obtained in real time through ECG acquisition, and data is packaged at fixed intervals / several heartbeat cycles. When extracting HRV features, common HRV indexes (such as SDNN, RMSSD, PNN50, frequency domain LF / HF ratio, etc.) are calculated based on the RR interval, and smoothing or time series analysis is performed on them. Then, the arousal stage recognition is carried out: the extracted HRV features are input into a pre-trained time series classification model (which may be LSTM, GRU, HMM, etc.), that is, the arousal stage recognition model, and the current possible sexual arousal stage is output. Then, a control strategy for generating a motor control intensity schedule is generated. The current device state of the massage assistance device, the extracted HRV features, and the current sexual arousal stage are input into a pre-trained control strategy generation model to generate a motor control intensity schedule. Finally, control instructions / signals such as the vibration intensity, frequency, and duration of the motor are generated according to the control strategy of the motor control intensity schedule to adjust the device state of the massage assistance device. After receiving the control instructions, the motor performs corresponding vibration actions and adjusts again according to the latest physiological data in the next cycle (for example, every 5 seconds or every 10 seconds), forming a real-time control closed loop.

[0109] In this way, by integrating an ECG heart rate sensor on the massage assistance device and combining with a multi-point independently controllable vibration motor, the heart rate and heart rate variability (HRV) indexes of the user are collected and analyzed in real time to identify the stage of the user in the sexual arousal cycle, and then an optimal vibration intensity and rhythm allocation scheme is generated and adjusted offline or in real time. Among them, a real-time feedback and adaptive adjustment mechanism is established. When in formal use, the massage assistance device can input the real-time collected physiological data into the trained model, infer the current stage of the user, and automatically adjust the vibration intensity, frequency, etc. of the motor to provide closed-loop feedback to help the user enter and exit each stage of the sexual arousal cycle more comfortably.

[0110] It should be noted that the above examples are only for understanding the present application and do not constitute a limitation on the massage assistance method of the present application. Based on this technical concept, more forms of simple transformations are within the protection scope of the present application.

[0111] The present application also provides a massage assistance device. Please refer to Figure 6 ., the massage assistance device is applied to a massage assistance device, and the massage assistance device includes:

[0112] An acquisition module 10, configured to acquire the original physiological data of a user who is using the massage assistance device;

[0113] A generation module 20, configured to generate a control strategy for the massage assistance device based on the original physiological data of the user, the current arousal stage of the user, the current device state of the massage assistance device, and a control strategy generation model of the user;

[0114] Adjustment module 30, configured to adjust the device state of the massage assistance device through a control strategy.

[0115] In one embodiment, the massage assistance device further includes a first training module, configured to:

[0116] Before the step of generating a control strategy for the massage assistance device by generating a model based on the user's original physiological data, the user's current excitement stage, the current device state of the massage assistance device, and the user's control strategy:

[0117] Obtain the first training data of the user; wherein, the first training data includes the user's original physiological data and the excitement stage during a historical period, and the device state of the massage assistance device when the user performs assisted massage during the historical period;

[0118] Train a control strategy generation model for the user according to the user's first training data.

[0119] In one embodiment, the first training module is further configured to:

[0120] Obtain the first training data of multiple different users; wherein, the first training data includes the original physiological data and the excitement stage of different users during a historical period, and the device state of the massage assistance device when different users perform assisted massage during the historical period;

[0121] Train a general model according to the first training data of multiple different users;

[0122] Fine-tune the general model based on the usage preferences of the current user to obtain a control strategy generation model for the current user.

[0123] In one embodiment, the massage assistance device further includes an excitement stage recognition module, configured to:

[0124] After the step of obtaining the original physiological data of the user who is using the massage assistance device:

[0125] Identify the current excitement stage of the user based on the user's original physiological data and the excitement stage recognition model.

[0126] In one embodiment, the massage assistance device further includes a second training module, configured to:

[0127] Before the step of identifying the current excitement stage of the user based on the user's original physiological data and the excitement stage recognition model:

[0128] Obtain second training data; wherein, the second training data includes the original physiological data of the user within a historical period and the annotation data corresponding to the excited stage where the user is located.

[0129] Train an excited stage recognition model of the user according to the second training data.

[0130] In one embodiment, the massage assistance device further includes a safety module for:

[0131] After the step of obtaining the original physiological data of the user who is using the massage assistance device:

[0132] Perform real-time anomaly detection on the original physiological data of the user according to the detection conditions for physiological anomaly detection of the physiological data.

[0133] After detecting a target physiological anomaly under a target detection condition, control the massage assistance device to perform a safety response action corresponding to the target detection condition and / or the target physiological anomaly.

[0134] The massage assistance device provided by the present application adopts the massage assistance method in the above embodiment, and can solve the technical problem that the current massage assistance device is difficult to perform personalized and flexible massage assistance according to the individual differences and actual usage status of the user. Compared with the prior art, the beneficial effects of the massage assistance device provided by the present application are the same as those of the massage assistance method provided by the above embodiment, and other technical features in the massage assistance device are the same as the features disclosed in the method of the above embodiment, and will not be elaborated herein.

[0135] The present application provides a massage assistance device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the massage assistance method in the first embodiment above.

[0136] Next, refer to Figure 7 , which shows a schematic structural diagram of a massage assistance device suitable for implementing the embodiments of the present application. The massage assistance device in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 7The illustrated massage assistance device is merely an example and should not impose any limitations on the functions and usage scope of the embodiments of the present application.

[0137] As Figure 7 shown, the massage assistance device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory 1002 or the program loaded from the storage device 1003 into the random access memory 1004. In the random access memory 1004, various programs and data required for the operation of the massage assistance device are also stored. The processing device 1001, the read-only memory 1002, and the random access memory 1004 are connected to each other through a bus 1005. An input / output interface 1006 is also connected to the bus. Generally, the following systems may be connected to the input / output interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the massage assistance device to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows a massage assistance device with various systems, it should be understood that it is not required to implement or include all the shown systems. More or fewer systems may be alternatively implemented or included.

[0138] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device, or installed from the storage device 1003, or installed from the read-only memory 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiments disclosed in the present application are executed.

[0139] The massage assistance device provided by the present application adopts the massage assistance method in the above-mentioned embodiment, and can solve the technical problem that it is difficult for the current massage assistance device to perform personalized and flexible massage assistance according to the individual differences and actual usage states of users. Compared with the prior art, the beneficial effects of the massage assistance device provided by the present application are the same as those of the massage assistance method provided by the above-mentioned embodiment, and other technical features in the massage assistance device are the same as the features disclosed in the method of the previous embodiment, and will not be elaborated here.

[0140] It should be understood that each part disclosed in this application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0141] As described above, the above are only specific embodiments of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all of them should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0142] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the massage assistance method in the above embodiments.

[0143] The computer-readable storage medium provided by this application can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system or device. The program code contained on the computer-readable storage medium can be transmitted by any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0144] The above computer-readable storage medium can be included in the massage assistance device; or it can exist separately without being assembled into the massage assistance device.

[0145] The above computer-readable storage medium stores one or more programs, which, when executed by the massage assistance device, cause the massage assistance device to: obtain the original physiological data of the user who is using the massage assistance device; generate a model based on the user's original physiological data, the current excitement stage of the user, the current device state of the massage assistance device, and the user's control strategy, and generate a control strategy for the massage assistance device; and adjust the device state of the massage assistance device through the control strategy.

[0146] Computer program code for performing the operations of this application may be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (for example, by connecting through an Internet service provider via the Internet).

[0147] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combinations of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system for performing the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.

[0148] The modules described in the embodiments of this application may be implemented in software or in hardware. In some cases, the name of the module does not constitute a limitation on the unit itself.

[0149] The readable storage medium provided by this application is a computer-readable storage medium, and the computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned massage assistance method, which can solve the technical problem that current massage assistance devices are difficult to provide personalized and flexible massage assistance according to the individual differences and actual usage status of users. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by this application are the same as those of the massage assistance method provided by the above embodiments, and will not be elaborated here.

[0150] This application also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it realizes the steps of the massage assistance method as described above.

[0151] The computer program product provided by this application can solve the technical problem that current massage assistance devices are difficult to provide personalized and flexible massage assistance according to the individual differences and actual usage status of users. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as those of the massage assistance method provided by the above embodiments, and will not be elaborated here.

[0152] The above are only partial embodiments of this application, and do not limit the patent scope of this application accordingly. Any equivalent structural transformation made by using the content of the specification and drawings of this application under the technical concept of this application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of this application.

Claims

1. A massage assistance method, characterized in that, The described massage assistance method is applied to a massage assistance device, and the massage assistance method includes: Obtaining the original physiological data of a user who is using the massage assistance device; Generating a control strategy for the massage assistance device by generating a model based on the user's original physiological data, the current excitement stage of the user, the current device state of the massage assistance device, and the user's control strategy; Adjusting the device state of the massage assistance device through the control strategy.

2. The massage assistance method according to claim 1, wherein, Before the step of generating a control strategy for the massage assistance device by generating a model based on the user's original physiological data, the current excitement stage of the user, the current device state of the massage assistance device, and the user's control strategy, it includes: Obtaining the first training data of the user; wherein, the first training data includes the user's original physiological data and the excitement stage during a historical period, and the device state of the massage assistance device when the user performs assisted massage during the historical period; Training a control strategy generation model of the user according to the first training data of the user.

3. The massage assistance method according to claim 1, wherein, Before the step of generating a control strategy for the massage assistance device by generating a model based on the user's original physiological data, the current excitement stage of the user, the current device state of the massage assistance device, and the user's control strategy, it includes: Obtaining the first training data of multiple different users; wherein, the first training data includes the original physiological data and the excitement stage of different users during a historical period, and the device state of the massage assistance device when different users perform assisted massage during the historical period; Training a general model according to the first training data of multiple different users; Fine-tuning the general model based on the usage preferences of the current user to obtain a control strategy generation model of the current user.

4. The massage assistance method according to claim 1, wherein, After the step of obtaining the original physiological data of the user who is using the massage assistance device, it includes: Identifying the current excitement stage of the user based on the user's original physiological data and an excitement stage recognition model.

5. The massage assistance method according to claim 4, characterized in that Before the step of identifying the current excitement stage of the user based on the user's original physiological data and an excitement stage recognition model, it includes: Obtaining second training data; wherein, the second training data includes the user's original physiological data and the labeled data corresponding to the excitement stage during a historical period; Training an excitement stage recognition model of the user according to the second training data.

6. The massage assistance method according to claim 1, wherein After the step of obtaining the original physiological data of the user who is using the massage assistance device, it further includes: Performing real-time anomaly detection on the user's original physiological data according to the detection conditions for physiological anomaly detection of the physiological data; After detecting a target physiological anomaly of a target detection condition, controlling the massage assistance device to execute a safety response action corresponding to the target detection condition and / or the target physiological anomaly.

7. A massage assistance device, characterized in that, The described massage assistance device is applied to a massage assistance device, and the massage assistance device includes: An acquisition module for acquiring the original physiological data of a user who is using the massage assistance device; A generation module for generating a control strategy of the massage assistance device by generating a model based on the original physiological data of the user, the current excitement stage of the user, the current device state of the massage assistance device, and the control strategy of the user; An adjustment module for adjusting the device state of the massage assistance device through the control strategy.

8. A massage assistance device, characterized in that, The massage assistance device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the massage assistance method according to any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the massage assistance method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that, The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of the massage assistance method according to any one of claims 1 to 6 are implemented.

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