42 results about "Negative mood" patented technology

The invention relates to the technical field of medical care, in particular to an AI-based personalized mental health assessment and intervention method, which comprises the following steps: S1, data acquisition: acquiring multi-dimensional data of a user; s2, data preprocessing: preprocessing the collected multi-dimensional data; s3, psychological health portrait construction: generating a personalized psychological health portrait of the user; s4, social relation psychological influence analysis: identifying an emotion change mode, a negative emotion propagation path and a social isolation risk of the user in social interaction, and dynamically analyzing emotion propagation characteristics in a social network structure and potential influence factors of a user psychological state; s5, making a personalized psychological health intervention scheme: generating the personalized psychological health intervention scheme; the method disclosed by the invention not only reveals the potential influence of social interaction on mental health, but also provides a data-driven scientific basis for further personalized mental health intervention.

The invention relates to the technical field of wisdom medical treatment, in particular to a cooperative intervention system and method based on multi-modal emotion perception and five-tone therapy, and realizes precision of emotion recognition and individuation of intervention strategies through cooperative intervention of multi-modal emotion perception and traditional Chinese medicine five-tone therapy. Physiological and behavior signals of a user in different states are comprehensively captured, emotion recognition is carried out in combination with a deep learning model, the accuracy and real-time performance of emotion recognition are remarkably improved, the system can intelligently match music tracks most suitable for the current emotion state based on the five-internal-organ-five-sound theory of traditional Chinese medicine and modern music psychology, and the user experience is improved. And an intervention strategy is continuously optimized through reinforcement learning, so that more targeted and effective emotion regulation is realized, and the method is particularly suitable for long-term management and intervention of negative emotions such as anxiety and depression.

The invention discloses an emotion regulation system based on multi-dimensional perception and an evaluation method thereof. In the invention, through the emotion classification and intensity evaluation module using the support vector machine algorithm, the system not only can accurately divide the emotion of the user into different categories, but also can evaluate the intensity of the emotion, so that a more personalized emotion regulation scheme is provided for the user. The accurate emotion recognition enables the system to provide corresponding intervention measures according to the real-time emotion state of the user, such as music relaxation, breathing guidance or emotion catharsis games, so that the user is effectively helped to relieve negative emotion, and the emotion self-management ability is improved. The emotion trend analysis module predicts the emotion change trend by using an autoregressive moving average (ARIMA) model, so that the system can have perspectiveness, identify possible emotion fluctuation in advance and take preventive measures. The method can quickly respond when the emotion of the user is abnormal, and timely assistance is provided, so that the influence of emotion problems on the daily life and work of the user is reduced.

The invention provides a college faculty worker and student psychological health monitoring and intervention method and system, and relates to a college ideological and political care system, and the method comprises the steps: employing a Monte Carlo simulation method to generate a large number of negative emotion propagation paths, carrying out the statistics of the coverage range and influence of negative emotion nodes, determining the influence range and key propagation nodes of negative emotion, and carrying out the calculation of the negative emotion propagation paths. Quantitative indexes reflecting the propagation penetration degree of the negative emotion among different communities are obtained, wherein the quantitative indexes comprise the negative emotion propagation speed, the influence range and the duration time; in a college ideological and political education system, positive emotion information is pushed to a target community and key nodes through a social network platform, the negative emotion propagation dynamic state is monitored, according to the real-time change of emotion distribution in an emotion propagation network, an emotion intervention strategy is dynamically adjusted, diffusion of negative emotions is controlled, and community emotion management measures are enhanced; and community emotion interaction mode analysis is perfected.

A facility for generating an audio-video sequence is described. The facility accesses one or more digital visual artifacts captured from the person's head, and uses them to create an animatable avatar. The facility receives input describing the person's emotional state, and generates a textual script conveying a positive message with respect to the person's described emotional state. The facility subjects the script to a text-to-speech tool to obtain a speech audio sequence reciting the script, and animates the avatar in a manner coordinated with the speech audio sequence to obtain a video sequence. The facility combines the speech audio sequence and the video sequence to obtain an audio-video sequence, and makes the audio-video sequence available to the person.

The invention relates to the technical field of psychological evaluation, in particular to an AI model-based student negative emotion evaluation method, which comprises the following steps of: acquiring facial video data and mouse movement data of a student in real time; state data such as attention degree and hesitation degree of answering of the students are dynamically analyzed, and subsequent emotion test questions are dynamically adjusted according to an analysis result; after an emotion test question of a student is completed, the question weight is dynamically adjusted according to question difficulty, face video data and mouse movement data, the score of the test question is combined, and the emotion score of the student is quantified by adopting a weighted average method. And generating an emotion analysis report of the student according to the question difficulty, the face video data, the mouse movement data and the emotion score. By means of the mode, the problem that the accuracy of the emotion evaluation result of the student is low due to the fact that the face features of the tested student are analyzed in the testing process and data in multiple aspects such as the attention of the student is not considered can be solved.

The invention provides a man-machine collaborative creation method and device, terminal equipment and a storage medium, and is suitable for the technical field of man-machine interaction. The method comprises the following steps: acquiring physiological feature information of a target object, and determining emotional state information of the target object based on the physiological feature information; the resonance direction of the target object is determined based on the emotional state information, the resonance direction comprises forward resonance and reverse resonance, the forward resonance is used for representing that the emotional state of the target object is positive emotional, and the reverse resonance is used for representing that the emotional state of the target object is negative emotional; based on the resonance direction, acquiring an emotion style template corresponding to the resonance direction from a preset suggestion generation strategy library; and determining creation suggestion content based on the emotion style template. According to the embodiment of the invention, the corresponding creation suggestion content can be given based on the emotion of the user, and the man-machine cooperation efficiency is improved.

In a system that provides psychological support based on dialogue with children, this technology offers support that enables information sharing (advocacy) that respects the child's wishes while appropriately understanding changes in the child's emotional state and the urgency of the situation. [Solution] The child support AI system according to the present invention comprises: dialogue history holding means for holding a history of conversations with a user; emotion analysis means for analyzing the user's emotional state based on input information included in the dialogue history; and state mark generation means for determining psychological urgency and generating a state mark based on two evaluation indicators: (i) the frequency (temporal density) of negative emotions appearing within a predetermined time period, and (ii) the emotional intensity in a single conversation. Furthermore, this system presents supporters with status markers corresponding to the determined psychological urgency, and also includes visualization means that, based on user permission to share, presents supporters with summarized information of the conversation content that has been permitted to be shared.

A therapeutic protocol and method for addressing posttraumatic stress and other negative emotional states through visualization techniques, dissociation, neuro-linguistic programming (NLP), and reimprinting of emotions. The protocol, known as the Trauma Resiliency Protocol (TRP) and Emotions Management Process (EMP), mitigates the psychological impacts of traumatic events. The protocol applies NLP principles, uses both secular and faith-based scripts, and incorporates specific grounding exercises to ensure emotional stability. The protocol emphasizes non-clinical interventions and peer coaching, making the protocol accessible for use by mental health professionals, peer coaches, and individuals suffering from PTSD, C-PTSD, and other related conditions. The protocol is applicable in both clinical and non-clinical settings.

The utility model discloses a decompressing ring toy capable of rotating around a finger, which relates to the technical field of decompressing toys and comprises a base and a ball arranged on the base, a semicircular plate is arranged on one side, far away from the ball, of the base, and a round hole for sleeving an early finger is formed in the middle of the semicircular plate; a plurality of semicircular grooves are formed in the end face, provided with the balls, of the base, the balls are placed in the semicircular grooves respectively, and the balls are matched with the semicircular grooves in a universal rotating mode. The finger ring can be conveniently worn on a finger through the round hole in the semicircular plate, so that a user can conveniently play the finger ring; through the cooperation of the semicircular grooves and the balls, one or more balls can be rotated at will, pressure is effectively relieved, and the mood is delighted; the face can be massaged and played by pressing the balls on the face to roll. The utility model has the advantages of simple structural design, convenience in wearing and various playing methods, and can effectively relieve pressure, reduce the generation of negative emotion and effectively adjust the emotion and mental state.

To enable single people to obtain a partner who can talk 24 hours a day by providing users with virtual partners with various appearances, personalities and voices, to accept their negative emotions.SOLUTION: A system includes means for providing virtual partners with various appearances, personalities, and voices, means for receiving negative emotions through conversation with a user, and means having the ability to adapt to the user's personality and preferences.SELECTED DRAWING: Figure 1

The invention relates to the technical field of psychological counseling, in particular to a psychological catharsis device which comprises a main body frame, a supporting base and a control unit, the supporting base is fixedly connected with the main body frame, a functional module is installed on the main body frame, and a quick-release positioning assembly is installed between the functional module and the main body frame; the quick-release positioning assembly comprises a clamping seat and a plurality of elastic clamping heads; the function module comprises a striking module, a shouting reception module and a pouring conduction module, an elastic limiting assembly, a noise reduction assembly and a force adaptation adjusting assembly are installed in the main body frame, and the control unit is electrically connected with the elastic limiting assembly and the force adaptation adjusting assembly. The control unit is used for controlling the buffering strength and stroke limiting of the elastic limiting assembly according to the releasing force signals collected by the force adaptation adjusting assembly. According to the invention, the user is helped to release negative emotions orderly, and the pertinence and effectiveness of psychological counseling are improved.

The application relates to the technical field of smart endowment, in particular to a smart endowment service automatic supervision system, which comprises classifying the activity items of the old people into timed activities and free activities, determining the mood states and activity characteristic states of the old people in different time periods based on heart rates, establishing the relevance of the mood and the activities and marking the relevant tags, and a service recommendation module combining the real-time mood, the relevant tags and the activity tags to push the optimal services; the application can push the adaptive services by combining the activity characteristics when the old people have negative emotions, timely relieve the emotions, break the vicious circle of "emotional problems leading to physical deterioration", reduce the health risks, optimize the resource allocation according to the correlation between the mood and the service effect, avoid the waste of inefficient services, provide more targeted personalized services, and comprehensively improve the endowment service quality and the life happiness of the old people.

To provide appropriate advice with respect to an impulsive statement or action by defining as a target a person who cannot suppress a negative emotion and impulsively acts.SOLUTION: Provided is a system for providing advice by defining as a target a person who cannot suppress a negative emotion and impulsively acts. The system includes: means for providing appropriate advice with respect to an impulsive statement or action; means for performing voice output of advice sentences corresponding to the feature or age of the target person; and means for improving a method of the advice by accumulating and analyzing emotional reactions of the target person.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: A system comprising: means for receiving a negative sentiment input from a user; means for analyzing the received input and generating a positive perspective or encouragement message; and means for transmitting the generated message back to the user.SELECTED DRAWING: Figure 1

The utility model discloses a desk and chair capable of reducing moving noise, which relates to the technical field of desks and chairs and comprises a desk and chair body, a backup plate and supporting legs, the supporting legs are mounted at the bottom of the desk and chair body, the backup plate is mounted at the top of the front side of the desk and chair body, and elastic buffer components are mounted at the bottoms of the supporting legs. The elastic buffering assembly is arranged to be matched with the buffering protection assembly to conduct elastic buffering on the outer sides of the desk and chair body, the backup plate and the supporting legs, noise generated during collision is reduced, and the problems that an existing desk and chair can generate noise in the moving process, and the noise generated in the moving process can interfere the class order; the problems that in the prior art, teaching of teachers and listening of students are affected, the students are in a noisy environment for a long time, the students are prone to generating dysphoria, anxiety and other negative emotions, learning enthusiasm and initiative are reduced, inconvenience in use is caused, and the using effect of desks and chairs is reduced are solved, and the effect of mobile noise reduction is achieved.

The invention discloses a vehicle-mounted system for providing emotional value based on AI, and particularly relates to the field of artificial intelligence, which comprises a driver facial expression acquisition module, an emotion diagnosis module, a vehicle-mounted AI control system and an emotion regulation module, facial expressions of a driver are captured through a camera, electroencephalogram activities are detected through a wireless EEG sensor, eyebrow challenge, eye expression, lip radian and facial muscle changes are analyzed, and the emotion of the driver is preliminarily judged; the system combines facial expressions and electroencephalogram data, utilizes a Bayesian network algorithm to comprehensively judge emotional states, and divides the emotional states into positive emotional states and negative emotional states; under the positive emotion, the system is kept silent; in case of negative emotion, relaxed music is played, positive voice prompts are provided through the bone conduction audio unit, and the environment in the vehicle is adjusted to improve the driving experience.

The invention discloses an elderly intelligent accompanying robot and method based on emotion recognition, and relates to the field of robot control, and the method comprises the steps: firstly, carrying out the preliminary judgment of the external performance of an elderly through video and audio data, and recognizing whether a negative state exists or not; and comparing the physiological data acquired in real time with a pre-stored personalized physiological baseline model of the user to obtain a quantitative physiological anomaly score. And finally, through a gating fusion mechanism, taking the physiological abnormality score as a key judgment basis: if the score obviously deviates from a baseline, judging that the physiological abnormality is physiological discomfort and triggering a corresponding health monitoring action; on the contrary, the emotion problem is confirmed, and emotion pacifying is executed. According to the method, the risk that physiological discomfort is misjudged as negative emotion is effectively avoided, and the robot can deconstruct and express real reasons behind, so that an accurate and safe decision is made.

This application discloses an intelligent companion robot and method for the elderly based on emotion recognition, relating to the field of robot control. It first uses video and audio data to make a preliminary judgment on the elderly person's external behavior, identifying the presence of negative states. Then, it compares real-time collected physiological data with a pre-stored personalized physiological baseline model for the user, thereby obtaining a quantified physiological abnormality score. Finally, through a gating fusion mechanism, this physiological abnormality score is used as the key judgment criterion: if the score significantly deviates from the baseline, it is determined to be physiological discomfort, triggering corresponding health monitoring actions; conversely, it is confirmed as an emotional problem, and emotional reassurance is performed. This method effectively avoids the risk of misjudging physiological discomfort as negative emotions, enabling the robot to deconstruct the true causes behind the appearance, thereby making accurate and safe decisions.

A facility for generating an audio-video sequence is described. The facility accesses one or more digital visual artifacts captured from the person's head, and uses them to create an animatable avatar. The facility receives input describing the person's emotional state, and generates a textual script conveying a positive message with respect to the person's described emotional state. The facility subjects the script to a text-to-speech tool to obtain a speech audio sequence reciting the script, and animates the avatar in a manner coordinated with the speech audio sequence to obtain a video sequence. The facility combines the speech audio sequence and the video sequence to obtain an audio-video sequence, and makes the audio-video sequence available to the person.

The application discloses a dialogue text-oriented negative emotion recognition method, which comprises the following steps: obtaining dialogue text data and pre-processing the obtained dialogue text data; adopting a pre-training model RoBERTa to perform vectorization representation on the dialogue text, wherein the pre-training model RoBERTa is an improved model of a BERT (Bidirectional Encoder Representations from Transformers) through robust optimization; adopting a Bi-LSTM (Bidirectional Long Short-Term Memory) to extract local features and context semantic features of the text vector and obtain speech level features; and adopting an RGAT (Relational Graph Attention Network) to extract long-distance dependency relationships between speakers and obtain speaker level features. The application provides a dialogue text-oriented negative emotion recognition method, so that the system can effectively extract speech level features and speaker level features at the same time, thereby improving the recognition effect of dialogue text negative emotions.

The invention relates to the technical field of user emotion recognition in digital customer service, in particular to a user emotion recognition method based on text information, a medium and equipment. The method comprises the following steps: determining an influence time period and range of emotional infection based on current time and position; and calculating a comprehensive negative emotion value in combination with the basic emotion score and the emotion scores of other users meeting the conditions. Emotion scores, spatial distance weights and intention weights of other users are considered in a calculation formula, wherein the weight of a high anxiety common intention is higher. The emotion infection effect is accurately modeled through the spatial distance weight function, infection weights of common anxiety and non-common anxiety are distinguished, the accuracy of emotion evaluation under a single text mode is improved, higher weights are distributed to common anxiety events, and the emotion infection effect is enhanced. Therefore, the emotion underestimation of the target user caused by the single text input can be compensated.

New applications of diamond nanoparticles and platinum nanoparticles are provided. [Solution] A skin preparation for external use containing diamond nanoparticles, platinum nanoparticles, and an organic sulfur compound. A fascia relaxant comprising said skin preparation for external use. An agent for improving negative mood states comprising said skin preparation for external use. An agent for improving body flexibility comprising said skin preparation for external use.

The invention discloses an information adaptive presentation method based on AR glasses and related equipment, and relates to the technical field of augmented reality. The technical means of evaluating the fatigue state of the user on the basis of cross-device use data, performing emotion recognition in combination with facial expression data, counting negative emotion feature events, weighting and calculating the content acceptance index on the basis of the negative degree and triggering information to simplify the display switching operation are adopted; therefore, when the screen use intensity of the user exceeds the personal historical average level, the device can actively monitor the emotional state change of the user, and the acceptance degree of the user to the current information content is evaluated by quantifying the occurrence frequency and duration of negative emotions. The complexity and density of information display are simplified when it is detected that the user generates a negative reaction, the problem of visual fatigue caused by the fact that AR glasses depend on a fixed watching duration triggering mechanism in the prior art is effectively solved, and then the technical effect of adjusting an information presentation strategy according to the real-time state of the user is achieved.

The invention discloses an emotion perception feedback action type non-linguistic interaction robot, which comprises an emotion perception module, a feedback action module and a non-linguistic interaction module, and is characterized in that an emotion perception result is firstly used for judging a target needing to take action; whether the target negative emotion is relieved before and after the action and the relieving degree are evaluated; the feedback action is to increase or decrease the weight of the action in the action library and increase or decrease the occurrence probability of the action based on the evaluation result of the emotion perception on whether the negative emotion is relieved and the relieving degree after the action is adopted; according to the non-language interaction, the robot does not adopt the voice recognition technology and the artificial intelligence language technology, and the robot interacts with the target only through non-language actions. The method has the prominent advantages of prominent effect, excellent environmental adaptability and easiness in popularization.

A diagnostic method and a classification method for patients with tinnitus, and a method for providing personalized treatment protocols for the patients with the tinnitus are proposed. The diagnostic method for the tinnitus patients includes an information input step for inputting information including patient information, tinnitus test results, and medical interview results, and a diagnosis step for deriving a scale for tinnitus symptoms, a scale for tinnitus-related negative thoughts, and a scale for tinnitus-related negative emotions from the information, and diagnosing each patient on the basis of the scale for the tinnitus symptoms, the scale for the tinnitus-related negative thoughts, and the scale for the tinnitus-related negative emotions, wherein a medical interview questionnaire includes question items about the tinnitus-related negative thoughts and question items about the tinnitus-related negative emotions, and the diagnostic step is performed by using a deep learning-based artificial intelligence algorithm.

The invention discloses a teacher emotion analysis method based on machine learning, and the method comprises the steps: collecting the keyboard tapping rhythm and pause time data of a teacher through a sensor, and obtaining a keyboard behavior sequence through time sequence analysis; extracting rhythm change rate and pause duration features, and obtaining a frequency domain feature vector through Fourier transform; performing preliminary classification on the feature vectors based on a support vector machine model, and identifying a high-pressure sign; combining a neural network model with the multi-dimensional features to obtain a comprehensive emotion vector; the negative emotion dominance degree is determined by calculating the vector similarity, and the work pressure level is evaluated; and finally, a clustering analysis method is adopted to establish an association mode of keyboard behaviors and emotional states, refined pressure indexes are obtained, and an emotional state database is updated. According to the method, keyboard behavior characteristics are converted into quantifiable emotion indexes, objective and accurate recognition of the emotion state of a teacher is achieved, and the real-time performance and accuracy of emotion monitoring are remarkably improved.

To allow for outputting appropriate information according to the emotions of a user.SOLUTION: An action control system disclosed herein is configured to detect occurrence of an event that is related to circumstances of a user and causes negative emotions in the user, and output information to the user according to the detected event using an avatar controlled using a sentence generation model.SELECTED DRAWING: Figure 2

FIELD: psychology.SUBSTANCE: used in the psychocorrection of traumatic experiences. A preliminary session with a psychotherapist is held. The client is taught the 4 stages of the method. The client then begins to independently complete the stages for 7–8 minutes a day until the memory of the traumatic episode no longer evokes negative feelings. The first stage of the method “Self-regulation and preparation for working with trauma” consists of 3 sub-stages, in which the following are performed: the exercise “Attention training”, the exercise “3 pleasant experiences a day”, the exercise “The principle of the stone and the wave”, breathing techniques. The second stage of the “Systematic desensitization” method involves actualizing feelings from a traumatic memory, and then “Parasympathetic breathing” is carried out. The third stage, “Neurophysiological modeling,” involves the client imagining the desired outcome in their life by processing the memory of a traumatic experience, then choosing a simple, monotonous movement and performing it for 1–2 minutes. The fourth stage is “Identifying obstacles to achieving the desired result.”EFFECT: method enables the processing of negative traumatic memories and the accompanying relief of nervous tension, increased stress resistance, and a reduction in the impact of the traumatic event on a person's well-being, mood, self-esteem, thoughts, feelings, and behavior.3 cl

The invention discloses an emotion healing system based on active sound and picture fusion, and belongs to the field of emotion regulation technologies and digital healing. According to the system, an active sound and picture fusion emotion healing scheme is provided, a user performs drawing creation on a touch interface, the system recognizes the shape and position of drawing pen touch in real time, corresponding timbre, pitch and visual feedback are matched according to a preset sound and picture mapping rule, and music synchronously corresponding to the drawing creation content of the user is dynamically generated. Multiple emotion theme modes are built in the system, each theme corresponds to different musical scales, tone combinations and background color matching, and a user can select or customize themes according to the current emotion state. According to the invention, through multi-sensory stimulation, the art creation process of guiding the user to participate actively, the cognitive participation of the user is enhanced, the emotion expression is promoted, a brand-new active emotion healing approach is provided for the user, the user is effectively helped to express and recognize, the negative emotion of the user is effectively adjusted, and the mental health level is improved.