62 results about "Psychological status" patented technology

Disclosed are a system for providing psychological counseling and a method therefor. According to the present invention, when a preset extended reality (XR) room-creation menu is selected from a website screen, an expert of an expert terminal performs a psychological counseling function in a metaverse chat room with a specific user under management, and a user of a terminal and the expert of the expert terminal may participate in another metaverse chat room together while performing a counseling function to perform a chat function, so that the expert may perform the psychological counseling function with the user in real-time and accordingly identify the user's psychological state and provide appropriate coping measures, and may accurately identify the user's state as the user performs the chat function with another user in a metaverse chat room.

The present invention relates to a system and a method for monitoring mental health and generating personalized reports. According to one embodiment of the present invention, the method for monitoring mental health and generating personalized reports comprises: receiving a user's response data to a self-report questionnaire, wherein the self-report questionnaire comprises questionnaires corresponding to the respective mental health scales; and generating a report on the user's mental state based on the response data to the self-report questionnaire. The mental state report includes a personalized mental health graph that visualizes daily scores for each mental health scale in the form of a bar chart.The bar charts included in the personalized mental health graphic can be displayed in colors that are predetermined according to criteria for the respective mental health scale. According to the present invention, it is possible to capture psychological, biological, and social digital phenotypes of groups with non-suicidal self-harm via the self-report questionnaire and thereby investigate predictive factors related to these phenotypes.

The present invention provides a psychological adjustment medical method and electronic device and system thereof performed by at least one electronic device. The method includes: receiving a physiological signal obtained by sensing a user (S410); analyzing the physiological signal based on an analysis model to confirm a psychological adjustment mode (S420), wherein confirming the psychological adjustment mode further includes: extracting a user's physiological data based on the physiological signal through a network model in the analysis model; confirming a user's psychological state based on the physiological data through a matrix analysis in the analysis model; confirming the psychological adjustment mode based on the psychological state; and transmitting the psychological adjustment mode (S430).

This invention provides a student mental energy replenishment and psychological prevention interactive system based on a smart homework system, comprising: a mental energy status light sensing unit, used to collect student status data and calculate and generate mental energy values ​​during the homework interaction process between the student and the smart homework system; a scenario-based interaction execution unit, connected to the mental energy status light sensing unit, used to trigger and execute corresponding light interactive mental energy replenishment operations based on the mental energy value and the current homework interaction scenario; and an early warning whistle unit, connected to the mental energy status light sensing unit, used to monitor the mental energy value according to preset rules, and push prompt information to the student's end and simultaneously send an anonymous early warning signal to the management auxiliary module when an early warning is triggered. The beneficial effect is that this invention can continuously replenish students' psychological energy through lightweight interaction and can routinely monitor and warn about their psychological state.

This invention discloses a system and method for psychotherapy that integrates virtual reality scenes, belonging to the interdisciplinary field of psychotherapy and virtual reality. It addresses the problems of fixed scenes, delayed adjustment, weak interactivity, and lack of cultural adaptability in traditional psychotherapy. The method includes using non-contact biosensors to capture facial blood oxygen fluctuations, combining this with a hemodynamic model to remove artifacts, and then quantifying these fluctuations into emotional energy values ​​based on an individual emotional sample set and an incremental learning algorithm to generate scene seeds containing parameters such as color temperature. A virtual physics engine is then driven to reconstruct elements such as light and shadow, and fluids, forming a physically-level dynamic scene. Inertial sensors capture user movements and convert them into virtual pressure gradients, constructing a coupled feedback loop between movement and scene. Psychological trends are predicted through hierarchical Fourier analysis of the seed sequence. This invention achieves real-time adaptation and proactive intervention between psychological states and virtual scenes, enhancing user immersion and cultural and emotional resonance, and improving the accuracy and effectiveness of psychotherapy.

This application discloses a method, apparatus, device, medium, and program product for identifying student psychological states, aiming to address the problems in existing technologies such as the difficulty in real-time, comprehensive, and dynamic identification of students' psychological states, and the lack of effective early detection and warning capabilities. The method includes: acquiring a multi-dimensional behavioral feature sequence of the target student, which includes at least an expression feature sequence, a behavioral trajectory feature sequence, and a voice emotion feature sequence; inputting the multi-dimensional behavioral feature sequence into a trained psychological state identification model to output psychological state representation information for characterizing the target student's psychological state; and identifying the target student's psychological state based on the psychological state representation information.

The present application relates to the technical field of student psychological state evaluation and teaching intervention, and specifically discloses a student psychological state dynamic evaluation and teaching intervention method and system, which comprises the following steps: collecting various signals of students in the teaching process; calculating an emotional probability distribution; combining course difficulty, student portraits and teaching events to construct enhanced input features; using a multi-scale mixed time sequence network architecture to capture the second-level state fluctuation and minute-level trend evolution of the enhanced input features, and fusing to obtain unified time sequence representation; predicting the mean and variance of the future K time step prediction distribution; and if it is judged to trigger teaching intervention, selecting the optimal teaching intervention strategy according to the matching degree of the strategy and the current emotional state of the student, etc. The present application can capture the second-level state fluctuation and minute-level trend evolution, accurately fit the state evolution law in the education scene, accurately determine the student state, trigger teaching intervention, and improve the classroom teaching effect.

The application discloses an intelligent psychological state evaluation method based on multi-modal data fusion, and relates to the technical field of psychological function testing.The method comprises the following steps: acquiring multi-modal physiological behavior data of a target object, wherein the multi-modal physiological behavior data comprises physiological signal data, facial image data, voice data, behavior action data and gait data; pre-processing the multi-modal physiological behavior data to obtain standardized data; performing dynamic feature extraction on the standardized data to obtain feature vectors corresponding to each mode; calculating the feature correlation degree between the gait mode and other modes; performing correlation fusion processing on the feature vectors corresponding to each mode to obtain a fusion feature vector; inputting the fusion feature vector into a pre-trained psychological state evaluation model to obtain a psychological state evaluation result; and through the collaborative analysis and deep fusion of multi-modal data, the problem of insufficient evaluation accuracy of single-mode data is overcome.

This invention discloses a method for inferring pilot stress and emotional states based on video, audio, and QAR data, belonging to the field of intelligent perception technology for multimodal pilot psychological states. The method includes temporal alignment, noise reduction, and data cleaning of the acquired data; unified modeling of multimodal features; outputting results and generating interpretive visualization reports. This invention improves the usability and deployment convenience of the system in real flight or simulated training environments; enhances the accuracy and robustness of psychological state recognition; strengthens the model's cross-human generalization ability; and meets the stringent real-time and reliability requirements of aviation scenarios.

A multimodal human behavior and psychological analysis platform based on generative artificial intelligence includes: a multimodal behavior data input module that receives data from multiple sources from users to establish a correlation between behavior and psychological state; a behavior and psychological analysis module that generates a psychological state scale based on the user's data from multiple sources and the correlation between behavior and psychological state; a game adaptation module that adjusts the game difficulty in real time to adapt to the correlation between the user's behavior and psychological state; an image story generation module that generates a story progression plot in real time to adapt to the correlation between the user's behavior and psychological state; an analysis and suggestion module that generates a psychological state change trend chart and psychological analysis assessment suggestions based on the user's data from multiple sources and the psychological state scale; and a report generation and progress tracking module that generates a psychological analysis assessment report for the user based on data from multiple sources, the psychological state scale, and the psychological analysis assessment suggestions, and adjusts personal goals in real time to adapt to the user's progress feedback.

This invention provides a sports protective bandage system, relating to the field of sports protective bandage technology. The invention acquires user movement and physiological data in real time through multimodal sensing and signal processing, constructs and continuously updates a personalized dynamic safety boundary model, solving the problem that general protection cannot adapt to individual differences. By calculating psychological stress levels, psychological safety is incorporated into decision-making, avoiding secondary risks caused by panic. Based on real-time data and rehabilitation trends, a desensitization guidance strategy is generated, which, through tactile and pressure linkage regulation, actively guides muscle exertion and center of gravity adjustment while ensuring joint safety, effectively overcoming the "disuse" problem caused by traditional protection. Finally, through a safety guidance arbitration mechanism, intelligent decision-making is made in coordination of physical safety boundaries and psychological state, achieving a dynamic and personalized balance between immediate protection and long-term active rehabilitation.

We provide the system. [Solution] Means for acquiring biometric data, A means for evaluating psychological state and level of pressure based on the aforementioned biometric data, Based on the aforementioned evaluation results, means for providing psychological health advice to users, An automated machine means for presenting the provided advice to the user, A system that includes this.

The application provides a management layer psychological state recognition method and system based on multi-modal feature fusion, and relates to the technical field of psychological state recognition.The application first acquires multi-modal data of video data and text information data of a text information interface of a speech of a management layer personnel, extracts multi-modal features such as face image features, behavior posture features and text data features of the multi-modal data, then fuses the features to obtain fused multi-modal features, and reduces the dimension of the fused multi-modal features, finally trains a multi-modal data psychological state recognition model based on a support vector machine by using the reduced fused features and pre-acquired management layer psychological state classification label data, and the trained multi-modal data psychological state recognition model can be used to recognize the psychological state of the management layer personnel.The psychological state recognition technology has higher precision and accuracy, and can more truly and comprehensively analyze the psychological state of the management layer.

We provide the system. [Solution] A means of human-machine interface for receiving voice input, A natural language processing means that converts received voice input into string data, Information analysis tools for acquiring fraud-related information and analyzing its risk level, Information provision means to provide users with the results of the analysis, An emotional analysis tool that analyzes the user's psychological state and provides appropriate feedback, Educational and training methods to provide simulations and educational content for fraud prevention, A system that includes this.

This application relates to the field of mental health service scheduling technology, and in particular to an intelligent scheduling system, method, and related equipment for mental health services. The system collects basic user information, interactive behavior data, and self-assessment data through a user interaction module; generates psychological state and risk level through a multimodal psychological assessment module; forms a dynamic psychological profile by combining a user profile construction module; models mental health service resources based on a service resource management module; and achieves precise matching between user needs and service resources through an intelligent matching module. Finally, the resource scheduling module completes service appointment confirmation, conflict resolution, and scheduling control, realizing intelligent and efficient scheduling of mental health services. This invention achieves precise matching and efficient scheduling of psychological needs and service resources, thereby improving the accuracy of mental health service assessment, response efficiency, and overall service quality.

This application discloses a method and apparatus for monitoring mental health status. The method includes: obtaining user input association features of a target user, including textual semantic features of the input text; obtaining an initial psychological risk assessment value for the target user based on the user input association features; obtaining a psychological baseline value corresponding to the target user, the psychological baseline value representing the target user's baseline psychological state within a predetermined time period; and determining the target risk level corresponding to the target user based on the magnitude of change of the initial psychological risk assessment value relative to the psychological baseline value. This method integrates user input association features of textual semantic features with the magnitude of change between the user's specific psychological baseline value and the initial assessment value to determine the risk level. It achieves a multi-dimensional and comprehensive assessment while also taking into account individual psychological specificity and dynamic changes. It can accurately identify relatively abnormal risks and positive changes, improving the targeting and accuracy of mental health monitoring.

Provided are a method and apparatus for caring for a psychological status based on biometric information. The method includes acquiring real-time biometric information of the user from a wearable device worn by the user, analyzing arousal and valence of the user based on the acquired real-time biometric information, determining a psychological status of the user based on an analysis result of the arousal and valence of the user, and generating control information including information on pressure control provided from the wearable device based on the determined psychological status of the user.

In some embodiments, a method comprises receiving a first signal indicative of a current emotional state of a user, receiving a second signal corresponding to a desired emotional state of the user, and based on the first and second signals, generating a playlist of media content including a first item and an nth item. The first signal can be received from a wearable sensor. Generating the playlist can comprise selecting items of media content, and arranging the media content in a sequential order such that the playlist transitions from the first item toward the nth item. The method can further comprise playing back, via a playback device, at least the first item of the media content, and while playing back the first item, receiving a third signal indicative of an updated emotional state of the user.

This invention provides a progressive stress resilience assessment system based on a large-scale intelligent agent; it primarily addresses the problems of limited interaction methods and lack of dynamic adaptability in existing psychological state assessments. The system employs a digital human interactive agent, an emotion perception and scoring agent, an emotion guidance and planning agent, an empathy expression generation agent, and a scale scoring agent. The emotion perception and scoring agent calculates negative emotion scores based on questions and answers. The emotion guidance and planning agent generates the next question based on semantic understanding and score feedback, achieving an adaptive assessment path. The empathy expression generation agent generates system responses with emotional connection and guidance based on multiple inputs from the current question, user answers, and the next question. The digital human interactive agent presents outputs via voice and facial expressions, achieving natural interaction. The scale scoring agent manages and scores the scale items for the ruminative thinking and stress resilience stages, ultimately obtaining the stress resilience assessment result.

The application provides a kind of juvenile emotion adjustment method, system and electronic equipment based on picture projection and electroencephalogram feedback, belongs to juvenile mental health intervention, digital psychological adjustment and auxiliary psychological evaluation technical field.The method comprises: obtaining self-defined and / or standardized pictures to form a set to be played;In turn show and synchronously collect electroencephalogram data;Subjective results are obtained by projecting and analyzing pictures, and objective indexes are obtained by analyzing electroencephalogram;The subjective and objective results are matched and fused to generate a psychological state auxiliary evaluation;According to the evaluation result, the picture is screened and adapted, and a personalized healing package for home use is generated.The application is compliant and has no risk of unqualified, has low threshold and is easy to popularize;With photographing and selecting pictures as the core, the compliance of teenagers is high;Combined with electroencephalogram objective quantification, the intervention is accurate and effective;No professional equipment and site are needed, and the cost is low, which supports home continued use and has scientific research and industrialization value.

1. The name of the design product: meditation cushion. 2. The use of the design product: The product is presented in the form of a cushion combined with sensors, used for sensing and monitoring the individual's physiological and psychological state during meditation or sitting, to assist in assessing the quality and effectiveness of the meditation process. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

This application discloses a method for classifying psychological state texts based on large-scale generative data augmentation, relating to the field of natural language processing technology. This method automatically discovers patient psychological semantic clusters by clustering a limited number of original samples, then extracts the natural language semantic template for each patient's psychological semantic cluster. Subsequently, under the dual control of emotional polarity and psychological theme, a large-scale language model is used to generate psychological state texts with consistent themes and diverse expressions according to these natural language semantic templates as augmented samples. This method utilizes the large-scale language model to generate high-quality samples based on the natural language semantic templates obtained from clustering to expand the model's training samples. This large-scale generative data augmentation method can ensure the authenticity and diversity of the generated augmented samples, thereby improving the classification accuracy and generalization ability of the trained psychological state text classification model.

The application discloses a kind of mental health intelligent evaluation method and system based on machine learning, it is related to the technical field of mental health assessment, the method includes: multi-modal data acquisition, cognitive bias field modeling, psychological state counterfactual simulation and mental health risk assessment;Cognitive bias field data reflecting the change of psychological state relative to historical baseline is constructed to depict the deviation intensity, continuity and change trend of psychological state;On this basis, by path constraint disturbance to key influencing factor, counterfactual input sample is constructed, and the evolution model of psychological state is combined to deduce, the psychological state change result and factor contribution degree under different hypothesis conditions are obtained;The application can realize the dynamic modeling and multidimensional analysis of mental health state, improve the accuracy and explanation ability of psychological risk identification, and provide data support for personalized intervention.

This invention discloses a method and system for monitoring and intervening in the psychological state of students in a campus environment, relating to the field of psychological monitoring technology. The method and system include: S1, preprocessing real-time campus data and historical auxiliary environmental data; S2, constructing a full-link temporal mapping and delay structure representation, outputting delay sequences and window constraints; S3, performing offline backhaul reverse order rearrangement and delay scale constraint screening based on the cumulative risk discrimination analysis results of event temporal misalignment; S4, performing quantile deviation replacement and interaction intensity gating constraints based on the group pollution index compression discrimination results; and S5, establishing an end-to-end intervention closed-loop archiving. This solves the problem of existing technologies that directly aggregate and fuse multi-source campus data according to a fixed time window without characterizing granularity differences and reporting delays, easily leading to event temporal misalignment and group false alarms, thereby reducing the reliability of early warnings.