92 results about "Mental wellbeing" patented technology

The invention relates to the technical field of emotion regulation and control, in particular to an emotion regulation and control system based on a self-adaptive virtual reality scene, which comprises an emotion monitoring module, a virtual reality device, a self-adaptive regulation and control module, a feedback module, an emotion guiding module and an effect evaluation module, the emotion category and the emotion intensity are analyzed and judged; the virtual reality equipment is used for providing virtual reality experience for a user; the self-adaptive regulation and control module is used for adjusting elements and parameters of the virtual scene; the feedback module is used for collecting evaluation on the emotion regulation effect, analyzing the evaluation and generating a feedback report; the emotion guiding module is used for providing emotion guiding suggestions; and the effect evaluation module is used for quantifying the effect of emotion regulation and control and evaluating the effect of emotion regulation and control. According to the invention, real-time monitoring and dynamic regulation and control of the emotion of the user can be realized, personalized virtual reality experience is provided, and more effective mental health support is provided for the user.

The invention provides a psychological tutoring system based on a digital human technology, and relates to the technical field of psychological health. The system captures the emotional state of a user in real time in a multi-modal interaction mode, generates a real-time emotional state group of the user by combining multi-dimensional data fusion of facial micro-expressions, voice spectrums and dialogue texts, and maps the real-time emotional state group to a three-dimensional emotional space for accurate emotion recognition. Based on an emotion-behavior mapping rule, the system dynamically adjusts the digital person and provides an intervention scheme. And when the emotion fluctuation of the user is detected to exceed a preset threshold value, the system automatically triggers a digital human hiding mechanism, gradually weakens visual, auditory and action stimulation, and provides psychological pacification and guidance. According to the method, the accuracy of psychological state recognition and the pertinence of intervention are remarkably improved, real-time and continuous psychological health support is provided for the user, and the method is suitable for psychological health assistance and emotional state analysis.

The invention relates to a comprehensive management system and method for elderly loneliness based on a mobile phone APP, and the system employs a three-level architecture of a host client-a control client-a data server, and achieves the intelligent and precise intervention. The host client integrates a multi-mode data acquisition function, an aging-suitable interaction interface function, a video / game intervention function and an emergency response function, and supports the elderly to autonomously complete mental health monitoring intervention. The control client is responsible for data cleaning, quality control and standardized management and provides reliable input for AI analysis. And the data server generates a personalized intervention scheme by relying on an AI model in combination with manual auditing, and dynamically optimizes a strategy. According to the system, wearable monitoring, CBT (Cathode Based Therapy) and an intelligent algorithm are combined, the goals of reducing the loneliness score of the old people and improving the social interaction frequency are expected to be achieved in future trial points, and the application prospects of the system in the aspects of accurate evaluation, risk early warning and intervention are embodied. By reducing medical resource consumption and enhancing intergenerational linkage, a replicable scheme is provided for healthy aging.

The application relates to the technical field of data processing, and particularly discloses a student psychological state recognition method and system based on multidimensional data analysis, which realizes the precision and efficiency of student mental health management. First, data cleaning and standardization processing are integrated to eliminate invalid information and unify data dimensions, thereby significantly improving analysis reliability. Through a collaborative analysis mechanism, different dimensional data features can be dynamically associated, and the adaptive adjustment function of the feature extraction process can automatically optimize algorithm weights according to data quality, thereby ensuring the extraction accuracy of key psychological indicators. Through data-driven closed-loop management, mental health monitoring is changed from passive coping to active prevention, the efficiency of school psychological crisis intervention is effectively improved, scientific support is provided for educational decision-making, and the precise allocation of mental health resources is promoted.

The invention discloses an incentive robust clustering federated learning system based on a block chain, belongs to the technical field of information security, and is used for solving the problems of privacy protection, heterogeneous data compatibility and hostile attack defense in cross-mechanism collaborative analysis of mental health data. According to the system, a decentralized architecture is constructed through a block chain, gradient ciphertext aggregation and secure decryption are realized in combination with multi-client function encryption, cosine similarity is calculated in a ciphertext state to complete client hierarchical clustering, and the influence of non-independent identically distributed data on model convergence is reduced. A differential privacy noise injection and geometric median detection mechanism is adopted to filter malicious clients; and designing a weight distribution strategy, and dynamically adjusting the contribution weight of the clustering model to enhance robustness. A multi-dimensional reputation incentive mechanism based on deep reinforcement learning is innovatively proposed, reward distribution is dynamically optimized through contribution degree, malicious behavior history and model precision, and high-quality participation is incentive.

The invention discloses an application (App) and method capable of intelligently memorizing words, which can generate a personalized memory scene by acquiring personal interests and hobbies of a user, dynamically optimize an individual forgetting curve based on machine learning, and further refine optimal learning or review time according to a personal emotion curve. The system supports multi-language and multi-device adaptation, and comprises a personal interest scene generation module for constructing a personalized learning scene and generating example sentences and multimedia contents associated with interests by using natural language processing (NLP); a dynamic forgetting curve module; a two-stage modeling mechanism is adopted, and a fine-grained word-level review strategy is generated in combination with a group forgetting rule and user real-time test data; an emotion curve and a forgetting curve are combined, and review time is optimized through a double-layer algorithm; the multi-mode reward module is linked with the psychological health service platform through a point exchange mechanism; and the psychological consultation service is linked for the users with poor word reciting scores.

A wearable electroencephalography device includes an ear cuff around an auricle of an ear comprising a curved structure conforming to contours of the ear, an electroencephalography electrode positioned on the ear cuff and contacting skin for detecting brain activity signals, a wireless controller integrated with the ear cuff and processing the brain activity signals from the electroencephalography electrode, and a wireless communication module transmitting the processed brain activity signals to an external device. The wearable electroencephalography device includes a mobile application receiving the transmitted brain activity signals from the wireless communication module, analyzing the brain activity signals using machine learning algorithms to determine emotional states of a user, and providing real-time feedback regarding the emotional states through a user interface. The mobile application comprises a self-report interface allowing the user to input subjective state data and a live-feed interface displaying real-time subjective state data derived from the brain activity signals.

The invention discloses an intelligent psychological sand table assessment and healing system based on VR, and relates to the technical field of psychological assessment and healing. A VR-based intelligent psychological sand table assessment and healing system is characterized in that a user side comprises a VR head-mounted display device, a spatial positioning and gesture interaction module and a virtual sand table scene generation engine, and a system terminal comprises a user behavior data acquisition and analysis module, an intelligent analysis and assessment engine and an immersive healing guide module. According to the invention, the regional limitation is broken through the virtual reality technology, the efficient and personalized psychological healing service is provided, the deficiency of professional resources in low-resource regions is made up, the psychological health intervention effect is improved, and the improvement of the overall social psychological health level is facilitated. The system adopts a modular design, is easy to expand and maintain, supports simultaneous online of multiple users, ensures data security and privacy protection, is suitable for multiple scenes such as schools, communities and medical institutions, effectively reduces psychological assessment and healing thresholds, and promotes popularization of psychological health.

The invention relates to the technical field of student state monitoring, in particular to a school student learning state monitoring method and system. The method comprises the following steps: acquiring learning state monitoring data of students at school; analyzing a first learning state of the school student through the learning performance monitoring data, and identifying a student with an abnormal learning state and a student with a normal learning state according to an analysis result of the first learning state; combining the learning performance monitoring data, the physiological monitoring data and the behavioral performance monitoring data to obtain learning difficulty parameters; analyzing the physiological monitoring data, the behavior performance monitoring data and the social emotion monitoring data to obtain learning mental health parameters; according to the learning difficulty parameters and the learning mental health parameters, the learning state of the student with the abnormal learning state is judged. According to the method, the learning state of the student with the abnormal learning state is judged by analyzing the learning state monitoring data, the problem of efficiently and accurately identifying the abnormal student state is solved, and the intervention golden period of the abnormal student can be prevented from being missed.

The invention relates to the field of intelligent psychological health management service, in particular to an AI Agent-based college student psychological health service system and method, and the system comprises a psychological health measurement module, a social personality portrait module and a psychological health intervention module. According to the method, a measurer agent measures the current psychological health condition of a college student from a transverse angle through a standardized psychological health scale; the portrayman agent analyzes the historical psychological health conditions and MBTI personality portraits of the college student users from the longitudinal angle by using the social media data of the college student users obtained by the web crawler; based on psychological health scale data and social media data, the system adaptively recommends a consultant agent for college students, the consultant agent is externally connected with a psychological consultation expert guide and real consultation case data, professional and effective psychological health intervention services are provided for the college students, and the system is suitable for college student emotion accompanying, college auxiliary decision making and other scenes.

The invention provides a bidirectional emotion interaction head ring system based on a multi-mode brain-computer interface. The bidirectional emotion interaction head ring system based on the multi-mode brain-computer interface comprises an exclusive emotion recognition algorithm module, a bidirectional emotion interaction output module, an intimacy relation synchronization and emotion interaction module, a system control module and a head ring structure. The system control module and head ring structure comprises a master control MCU, a multi-mode fusion processor, a Bluetooth / ultra-low power consumption communication module, an electrode self-adaptive pressurization structure and an ultra-light flexible head ring structure. The bidirectional emotion interaction head ring system based on the multi-mode brain-computer interface has the advantages of being high in monitoring precision, timely and effective in intervention, high in family participation degree, capable of being continuously worn and the like, emotion management is converted into active adjustment from passive recording, scientific, stable and sustainable emotion management support can be provided for a user in all stages, and the user experience is improved. The overall mental health level of the user is improved, and the method has clear practical value and industrial application prospect.

The invention discloses an electroencephalogram-based personalized music generation and mental health intervention system and method.The system comprises an electroencephalogram signal collecting and preprocessing module, an emotion recognition module, an intervention text generation module and a music generation module, electroencephalogram signals of a user can be collected in real time, and the emotion state can be decoded; generating personalized intervention music through a retrieval enhancement generation mechanism in combination with music treatment knowledge, and continuously optimizing an intervention effect through a closed-loop feedback mechanism; according to the method, the intermediate semantic layer is introduced, so that the dependence on a large-scale paired data set is avoided, professional knowledge of music intervention is systematically integrated, and the accuracy and effectiveness of emotion intervention are improved; meanwhile, the trans-test generalization ability is improved by adopting a Transform-GNN hybrid architecture, real-time generation of high-quality music is realized based on a potential diffusion model, and the practicability and user experience of personalized music intervention are greatly improved.

The invention relates to a teenager mental health screening system and a teenager mental health screening method, and the system comprises a virtual sand table construction module which provides more than five hundreds of editable three-dimensional models of eight categories and supports 360-degree rotation, zooming and deformation operation; the dynamic environment simulation module is used for realizing dynamic switching of scenes; the interactive question and answer engine generates a self-adaptive question bank based on the sand table works of the user; the subconsciousness of the user is projected by making the model on the sand tool, the problem that the user can subjectively mask the meaning of the answer of the question in the traditional questionnaire survey can be avoided, the depth of the question is adaptively adjusted according to the complexity of the model created by the user in cooperation with an interactive question and answer engine, and the user experience is improved. The real thought of the user is deeply mined, an AI analysis engine is combined with a built-in psychological health knowledge graph, a correlation model combination and a psychological feature mapping relation to automatically analyze models and questions and answers, and the screening efficiency is greatly improved.

A multi-modal happiness assessment system based on an AI agent comprises a multi-modal data input processing module, a multi-round dialogue and semantic processing module and an agent cooperation output module. The multi-modal data input processing module is configured with a text / voice dual-channel input interface, a dynamic culture adaptation module and a system initialization module, and adopts a dynamic attention mechanism to distribute weights and integrate data; the multi-round dialogue and semantic processing module integrates an emotional state machine model, a hierarchical storage architecture and a real-time feedback engine, and optimizes a dialogue path in combination with the emotional state machine model and a culture factor weighting method; and the agent cooperation output module deploys a double-agent cooperation protocol, a Gemini Flash, an RAG enhanced retrieval unit and a three-dimensional report generation unit, generates a three-dimensional analysis report through double-agent cooperation, and matches a psychological counseling case library based on an RAG technology. According to the method, the evaluation validity and the user report generation efficiency can be remarkably improved, and the method can be suitable for mental health monitoring, community intervention and personalized consultation services.

A method of dynamically monitoring emotions of a user using a wearable device. The method includes detecting one or more physiological signals associated with a user and determining, in a first layer of the method, one or more detected emotions associated with the one or more physiological signals detected. The method also includes determining, in a second layer of the method, one or more symptoms of the user, whereby the one or more symptoms are based on the one or more detected emotions. The method further includes determining, in a third layer of the method, one or more mental wellbeing metrics associated with a mental wellbeing of the user, whereby the one or more mental wellbeing metrics are based on the one or more detected emotions and the one or more symptoms.

A computer-readable medium stores instructions that cause one or more processors to perform mental wellness activities. The activities can include providing a user interface to receive inputs about a user's challenges and strengths, generating a query to a large language model (LLM) to create a narrative where challenges are addressed based on strengths, and displaying the narrative. The activities can include providing an interface for a therapeutic exercise, showing the exercise's intention, guiding the user through the exercise, and collecting feedback afterward. The activities can include recommending therapeutic activities by analyzing user data to identify preferences or emotional states. Based on the amount of aggregate user data, either predefined rules or collaborative filtering is used to make personalized activity recommendations.

The utility model discloses an ability training device for psychological health education, which comprises a sand table, a support is mounted on one side of the sand table, a cleaning box is fixed at the top end of the support, a bearing net is mounted at the upper part in the cleaning box, a cleaning assembly is arranged below the bearing net, the cleaning assembly comprises a main shaft rotationally connected with the cleaning box, and the main shaft is rotatably connected with the cleaning box. Multiple sets of eccentric blocks are installed on the main shaft at equal intervals, and one end of the main shaft is connected with a transmission box. Through the arrangement of the cleaning box, the bearing net and the cleaning assembly, after the mold is picked out, a worker places the mold in the bearing net in the cleaning box, at the moment, a driving motor in the cleaning assembly drives a main shaft to rotate through a transmission box, and in the rotating process of the main shaft, multiple sets of eccentric blocks can make contact with the bearing net, so that the bearing net generates certain vibration; and residual sand in the mold can be separated out through vibration, and cleaning is easy and fast.

This invention provides a method, device, electronic device, and storage medium for mental health intervention. The method includes: acquiring user assessment behavior characteristic data, including consistency scores for answers, reasonableness scores for completion time, and regularity scores for response patterns; determining a credibility index based on the assessment behavior characteristic data, determining a warning level based on the credibility index, and determining a preset first intervention strategy based on the warning level; after the preset first intervention strategy is applied to the user, acquiring user characteristic data and forming a user characteristic vector based on the user characteristic data; assigning a corresponding preset second intervention strategy to the user through a trained classification model and the user's clustering categories for psychological intervention, acquiring intervention effect labels, and stopping the push of the preset second intervention strategy to the user if the levels of several pre-effect labels are lower than the preset label levels. This method can improve the effectiveness of mental health intervention.

The present invention relates to the field of warning wearable devices, in particular to a mental health intelligent warning wearable device, which includes a detection component, comprising an arc-shaped strip, a horizontal strip arranged on the arc-shaped strip, ear hooks arranged on the horizontal strip, and detection blocks arranged on the arc-shaped strip; an adjustment component, including a sliding component arranged on the arc-shaped strip, an angle adjustment component arranged on the sliding component, a pushing component arranged inside the arc-shaped strip, and a guiding component arranged inside the ear hook; a gear component arranged inside the ear hook, a locking component arranged on the gear component, and an identification component arranged on the horizontal strip; an adaptation component, including a receiving component arranged on the detection block, and an elastic component arranged on the receiving component. The device of the present invention can adjust the size of the electroencephalogram test headband and the position of the detection piece, and is suitable for people with different head circumferences.

The invention relates to the technical field of health care, in particular to a health care method and system integrating a meditation and meditation technology and a massage technology, and provides a health care massage method and system based on meditation and meditation. The invention aims to solve the problems of physical and psychological health caused by fast pace of life and high pressure of modern people, especially the lack of a method for effectively relaxing and relieving pressure. According to the technical scheme, the main point of the invention is that comprehensive relaxation of mind and body is realized by combining the psychological regulation function of meditation and professional massage manipulation. The system comprises a meditation and meditation guidance module and a massage execution module, and a user can receive auxiliary massage of a professional massagist under meditation guidance so as to achieve the effects of relieving pressure, promoting blood circulation and improving mental health. The health-care pillow is mainly suitable for people who need to relieve pressure, improve sleep quality and improve the overall health level and people who are in a high-pressure environment for a long time.

An artificial intelligence device according to one embodiment of the present disclosure may comprise: a memory for storing a brain-mimicking artificial intelligence model trained through reinforcement learning; a mental health meter for collecting subject data including a numerical value of memory recall confidence, memory recall accuracy, a numerical value of inference confidence, inference accuracy, learning accuracy, and strategic decision-making bias according to the execution of a meta-memory game of a user; and a processor which acquires a plurality of cognitive behavior numerical values from the subject data by using the brain-mimicking artificial intelligence model, acquires a plurality of brain function estimation signals corresponding to the plurality of cognitive behavior numerical values, respectively, and maps each brain function estimation signal to a brain signal corresponding to a specific brain function.

The utility model discloses a device for storing psychological health teaching aids. The device comprises a mounting shell, a mounting mechanism and a connecting mechanism, the mounting shell is provided with a limiting shell; the mounting mechanism comprises a first electric push rod, a connecting shell, a storage shell and a hook; the connecting mechanism comprises a sliding shell, a supporting plate and an adjusting device. The limiting shell is mounted at the top end of the mounting shell; the top end of the first electric push rod is connected with the limiting shell; the connecting shell is connected with the interior of the limiting shell through a first electric push rod. The storage shell is located at the lower end inside the connecting shell; the plurality of hooks are uniformly distributed on the upper side in the connecting shell; the connecting shell and the sliding shell are located in the limiting shell. The supporting plate is connected with the interior of the sliding shell. Teaching props can be stored through the storage shell and the hook of the mounting mechanism, the movable device is combined to facilitate carrying, teaching preparation time of teachers is shortened, teaching efficiency is further improved, the storage shell is conveniently opened and closed through the first electric push rod, and operation is easy and convenient.

Provide appropriate mental health advice to users. [Solution] The processing unit of the mental improvement support device accepts comments from users, causes a generation AI to obtain Buddhist advice corresponding to the comments from a Buddhist scripture database that stores the contents of Buddhist scriptures, causes the generation AI to generate support information including the content of the obtained Buddhist advice, and outputs the generated support information to the user terminal.

The invention discloses a multi-modal co-situation prediction method based on supervision text assistance. The method comprises the following steps: 1, obtaining text, audio and video data and carrying out feature extraction; 2, calculating fused multi-modal features through an attention mechanism and a long-short-term memory network; 3, learning topic distribution of supervised texts by using a hidden Dirichlet topic model LDA; 4, network parameters are trained through a common situation level of a given training scene and theme distribution of a corresponding supervision text; and 5, calculating and predicting the common situation level of the multi-modal scene by using the trained network parameters. According to the method, the multi-modal data and the supervision text are comprehensively utilized as privilege information, so that the model prediction performance in a complex condition-sharing scene is enhanced, the condition-sharing level in a multi-modal scene can be predicted more meticulously, the accuracy and generalization of condition-sharing prediction are remarkably improved, and the mental health support effect is effectively improved.

The invention discloses a teenager psychological health dredging device, and belongs to the field of psychological health, the teenager psychological health dredging device comprises a sound insulation room, a cushion is arranged at the bottom of the inner surface of the sound insulation room, a support frame is fixedly connected to the bottom of the inner surface of the sound insulation room, a sandbag is arranged below the support frame, and a joint ball is fixedly connected to the upper part of the sandbag; a joint sleeve is slidably connected to the outer surface of the joint ball, the joint sleeve is fixedly connected with the lower portion of the supporting frame, a second hydraulic bin is fixedly connected to the lower portion of the supporting frame, a second hydraulic rod is slidably connected to the inner surface of the second hydraulic bin, and a connecting piece is fixedly connected to the left end of the second hydraulic rod. The sandbag is arranged for a user to hit to relieve pressure, when the sandbag is hit, the sandbag can be slowly reset after swinging, and the effect of conveniently preventing the user from being hurt due to the fact that the sandbag swings and rebounds to a large extent after being hit is achieved.

This invention relates to a split dose dietary supplement that contains key vitamins and minerals to increase hair thickness, increase hair growth, reduce hair thinning, reduce hair loss, and / or reduce hair shedding.

The system according to the embodiment aims to detect in advance when an employee needs mental care and respond appropriately. [Solution] A system according to an embodiment includes a collection unit, an analysis unit, an identification unit, and a response unit. The collection unit collects behavioral data or communication data of employees. The analysis unit analyzes the data collected by the collection unit. The identification unit identifies employees who need mental care based on the results of the analysis by the analysis unit. The response unit takes action for the employees identified by the identification unit.

The application provides an interface display method, an electronic device and a computer readable storage medium, relates to the technical field of terminals, can instantaneously feed back the emotional state of a user to the user, enables the user to quickly understand the emotional state of the user, and is convenient for subsequent timely management of the user on the mental health of the user. The method is applied to an electronic device, and the method comprises the following steps: displaying a first interface, wherein the first interface is an interface displayed by the electronic device in an unlocked state; in response to an unlocking operation, acquiring emotional state information of a user according to a face image of the user; and modifying the display state of a second interface according to the emotional state information, wherein the second interface is an interface displayed by the electronic device in a locked state.

An object of the system according to the embodiment is to individually address the mental health problems of employees and reduce the burden on managers and personnel.SOLUTION: A system according to an embodiment includes a mentoring providing unit, an information learning unit, and a character adjusting unit. The mentoring provider provides employee-specific mentoring. The information learning unit learns in-house information. The character adjusting unit adjusts the character or the tone according to the user's preference.SELECTED DRAWING: Figure 1

The invention discloses a sound insulation and pressure relief comfortable bag which comprises a bag body, a bag cavity is formed in the bag body, the bag body comprises an outer waterproof layer, a middle sound absorption layer and an inner breathable layer, the outer waterproof layer is arranged on the side, away from the bag cavity, of the bag body, and the inner breathable layer is arranged on the side, close to the bag cavity, of the bag body. The middle sound absorption layer is arranged between the outer waterproof layer and the inner breathable layer through a composite bonding technology, the composite bonding technology comprises a hot melting bonding technology and a glue bonding technology, the requirement for legal emotion release of personnel in quiet places such as libraries and hospitals can be met, and then social conflicts caused by noise are effectively reduced; in addition, the device has the advantages of simple structure and low cost, can cover low-income groups such as students, and achieves the effect of popularizing mental health.