115 results about "Mental wellbeing" patented technology

The invention discloses an artificial intelligence early warning intervention system for short video addiction of children, and relates to the technical field of crossing of artificial intelligence and mental health. The system comprises a data collection and preprocessing module, an addiction risk assessment model module, a personalized intervention suggestion module, an intelligent early warning and feedback module and a parent education and support module. The short video use behavior of the child is monitored in real time, the addiction risk of the child is accurately evaluated, once it is detected that the child has the addiction risk, the system can automatically send early warning information to a guardian and provide personalized intervention suggestions, and the timely and effective early warning and intervention mechanism helps the guardian to take measures in time, so that the risk of addiction of the child is effectively evaluated. Children are guided to reasonably use short videos and are prevented from being addicted in the short videos, so that physical and psychological health and normal learning life of the children are protected.

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 belongs to the technical field of remote rehabilitation guidance, and particularly relates to an intelligent remote rehabilitation guidance system. The system integrates the functions of man-machine interaction, information encryption, physiological and psychological assessment, rehabilitation grade division, physician professional assessment, rehabilitation knowledge base construction, rehabilitation matching planning, rehabilitation training monitoring and feedback, rehabilitation effect prediction and the like, and a fuzzy assessment algorithm and an emotional depression detection algorithm are integrated. The system comprehensively evaluates the physiological and psychological health conditions of a rehabilitative person, recommends appropriate rehabilitation doctors or health planning guidance suggestions for the rehabilitative person, monitors the standard degree and micro-expression changes of training actions in real time and gives timely feedback and adjustment suggestions in the rehabilitation process, and meanwhile, predicts a rehabilitation track by utilizing a machine learning algorithm, so that the rehabilitation effect is improved. Subsequent rehabilitation planning is optimized, and personalized precise rehabilitation is ensured; according to the invention, the participation degree and training scientificity of the convalescent are improved, and an effective solution is provided for remote rehabilitation guidance.

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.

To provide an AI interactive diary tool matching a growth stage of a child so as to give support without overlooking mental change of the child, even amid the busyness of modern society.SOLUTION: There is provided an AI interactive diary tool matching a growth stage of a child, and the system includes: means for recording daily events and feelings of the child through AI's interaction with the child; and means for analyzing metal health of the child from a diary and contacting a guardian or a professional adviser once a danger signal is detected.SELECTED DRAWING: Figure 1

The invention provides a jigsaw and music combined interactive training system and method, relates to the field of education and entertainment, and optimizes the training experience of a user by dynamically adjusting the difficulty and shape of a jigsaw task and music accompaniment and combining multi-dimensional physiological and psychological information of brain wave data, emotional state and cognitive load. The system comprises a brain wave acquisition module, an emotion recognition module, a puzzle generation module, a music generation module and a sensory feedback module. The jigsaw puzzle task and the music content are adaptively adjusted according to the real-time state of the user, so that the task is not too simple and not too difficult, and emotion fluctuation or cognitive fatigue of the user is effectively avoided. Through the combination of music and tasks, the emotion state of the user can be adjusted, the concentration and cognitive competence can be improved, the learning motivation of the user can be enhanced, the method can be widely applied to the fields of mental health, cognitive training and entertainment, the cognitive competence, emotion adjustment and task completion of the user are improved, and therefore the comprehensive psychological and cognitive improvement effect is achieved.

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 provides a drawing projection marriage matching test system based on a visual converter and a method thereof. According to the system, drawing behaviors, emotion feedback and interaction data of a user are collected, multi-modal feature extraction is carried out through a visual converter, and drawing styles, psychological features and emotion preferences of the user are deeply analyzed through a self-supervised clustering algorithm. A unique emotion feedback loop is embedded into a system, and micro expressions, gestures and emotion changes shown by a user in the drawing process are captured in real time, so that more accurate personalized marriage matching recommendation is realized. The system generates a comprehensive love and marriage matching report, provides customized love and marriage suggestions in combination with potential characters, behavior modes and emotional requirements of users, and is matched with emotional management and mental health support tools. The innovative system improves the scientificity, interactivity and deep emotion association of love and marriage matching, has high application value, and can be widely applied to the fields of love and marriage platforms, emotion consultation and intelligent mental health.

The invention discloses a psychological health screening method based on immersive game tasks and EEG (electroencephalogram) analysis, and relates to the technical field of psychological health screening, comprising the following steps: determining a psychological health dimension to be evaluated, and integrating VR (virtual reality) and EEG equipment; extracting corresponding data from different psychological dimension game data of VR to obtain emotion stability, cognitive ability and social skill evaluation values; and constructing a psychological health evaluation model based on linear regression through the EEG feature data, outputting score results on different psychological dimensions, and automatically generating a psychological health evaluation report in combination with corresponding evaluation values. The method solves the problems that it is difficult to establish a player attention state classification model to determine the attention concentration duration of players in different game stages, it is difficult to quantify evaluation values constructed by feature data in different psychological dimensions, and it is lack of automatically generating a psychological health evaluation report by combining VR games and EEG electroencephalogram signals.

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 relates to the technical field of mental health, in particular to a mental health dredging device which comprises a bottom plate, a sliding assembly and a rotating assembly, the sliding assembly is installed on the bottom plate, the rotating assembly comprises a fixing column, a fixing plate, a rotating rod, a supporting seat, a sand table, a driving component and a partition component, and the fixing column is fixedly installed on the bottom plate; the fixing plate is fixedly installed on the fixing column, the rotating rod is installed on the fixing plate, the supporting base is fixedly installed on the rotating rod, the sand table is fixedly installed on the supporting base, the driving component is installed on the rotating rod, and the partition component is installed on the sand table. The support seat and the sand table are driven to rotate rightwards by 30 degrees, so that the sand table is in a left-high and right-low state, and sand is discharged from the sand table through the partition component, so that manual carrying is not needed, the labor intensity of workers is reduced, and the practicability of the device is improved.

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.