43 results about "Psychological intervention" patented technology

The invention discloses a psychological health analysis method and apparatus, an electronic device and a storage medium, through the application, dynamic psychological assessment is generated through multi-modal data fusion analysis, and personalized scenarized dynamic interaction content is generated based on an assessment result and an interaction history, so that the psychological health analysis efficiency is improved. Meanwhile, continuous learning and correlation analysis are carried out on the psychological state of the user by utilizing a multi-dimensional memory architecture, so that the system can understand the change of the user state and adjust an interaction strategy like a human consultant, and therefore, the technical problems of insufficient emotional distraction and credibility of the user due to the adoption of a standardized reply mode in the prior art can be solved, and the user experience is improved. The technical effects of enhancing the emotion affinity of the system, establishing a continuous and credible interaction relationship and improving the durability of the psychological intervention effect are achieved.

The invention relates to the technical field of psychological intervention adjustment, in particular to a dynamic structured self-adaptive training method which is applied to a training framework comprising an acquisition terminal, a processing terminal and an execution terminal. The acquisition terminal is used for acquiring a physiological signal, a behavior signal and an environment context of an individual, the processing terminal fuses the information and calculates an anxiety index and an uncertainty probability value, and when the uncertainty probability value is lower than a preset threshold value, an initial task graph is constructed according to a target task and the environment context. The initial task graph is subjected to structure and parameter updating through a preset rule generator in combination with a reward function and an anxiety index, an individualized task graph is generated, cross-age migration is further carried out based on physiological and behavior signals, an execution graph bound with an execution terminal is obtained, and the execution terminal carries out intervention according to the execution graph. The problem that an existing training method is difficult to give consideration to behavior complexity and psychological bearing capacity is solved, and training individuation and stability are improved.

The invention belongs to the technical field of genes, and discloses intelligent wearable equipment for real-time monitoring and intervention of chronic fatigue syndromes. The equipment comprises a user input module, an intelligent screening module, a control center, a dynamic risk assessment module, a health monitoring module, a cloud server, an intelligent scheme generation module, a display module, a sound production module, an intelligent supervision module and an intelligent optimization module. According to the method, through a multi-modal data fusion technology, the accuracy of CFS early recognition is remarkably improved, and clinical verification shows that the screening accuracy reaches 92.3%; due to the innovative dual-mode design (treatment mode / conventional monitoring mode), the system can flexibly adjust the monitoring intensity according to user requirements, and the energy consumption is optimized while the effect is ensured; a cognitive behavior therapy is digitalized, psychological intervention is implemented in an intelligent interaction mode, and user compliance is improved by 56%.

The invention discloses a psychological assessment and psychological measurement platform, which relates to the technical field of artificial intelligence and comprises a multi-dimensional data acquisition module, a precise measurement and assessment analysis module, a personalized report generation module, a customized psychological intervention suggestion module and a visual presentation module. By integrating various psychological assessment tools and an advanced data analysis technology, comprehensive and accurate psychological health assessment and psychological feature analysis are provided for individuals, measurement and assessment are performed by adopting an advanced multi-dimensional data acquisition mode and combining artificial intelligence and a big data analysis technology, and data processing and analysis functions provided by the platform are more accurate and accurate. A detailed personalized report can be generated in real time, an intelligent evaluation system of the platform can provide customized psychological intervention suggestions according to basic information, behavior data and physiological data input by a user, and the user is helped to understand psychological characteristics and behavior modes of the user more visually in a data visualization mode.

The application belongs to the technical field of virtual reality, and particularly relates to a sound-driven VR serious game interaction control method for semi-blind people. The method comprises the following steps: constructing a 3D sound scene space and a motion guide field, and converting a motion path into a sound change rule; collecting and fusing user pose and physiological feedback signals in real time; dynamically adjusting sound source parameters and tactile feedback according to pose deviation to realize non-visual orientation guidance; performing boundary verification and area determination through ray projection to ensure interaction safety; synchronously processing collision by using a bounding box model and quaternion interpolation; and establishing a mapping model of emotional parameters and sound characteristics to synthesize exciting sound effects. Through multi-modal collaborative interaction, the application significantly improves the perception accuracy and safety of semi-blind users in a virtual space, realizes the cooperation of psychological intervention and motion rehabilitation, and has excellent real-time response capability.

The invention is applied to the technical field of dialogue interaction systems, and particularly discloses an induced dialogue interaction system based on a psychological intervention artificial intelligence model, which comprises a voice recognition module, a deep language module, a voice output module, a closed feedback module and an abnormal condition processing module, the voice recognition module is connected with the deep language module through wireless signals, and the deep language module is connected with the voice output module through wireless signals. According to the induced dialogue interaction system based on the psychological intervention artificial intelligence model, psychological theories such as a social emotion selection theory, a communication adaptation theory and the like are introduced in the system, and an old people age layering optimization deep language model is combined, so that the recognition and fitness reply ability of the model to common emotion expression of old people is enhanced; meanwhile, by means of intervention boundary setting, psychological intervention scenes of the old people are accurately adapted, and intervention safety and effectiveness are guaranteed.

1. The name of the design product: intelligent robot. 2. The use of the design product: intelligent robot for data collection, processing, result display of psychological test, and content display, user interaction and process implementation of psychological intervention training. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses an intelligent monitoring method and system for the mental health state of teenagers, and particularly relates to the technical field of mental health monitoring. The method comprises the following steps: collecting emotional response data and intervention feedback data generated by teenager individuals in a psychological intervention process, and constructing an initial psychological state feature sequence; performing quantitative evaluation on a matching effect between the intervention measure and the teenager psychological state based on the initial psychological state feature sequence to obtain intervention measure dynamic effectiveness evaluation index data; obtaining intervention measure utility attenuation trend prediction data and intervention measure instant utility response feature data by analyzing and identifying a long-term interaction change trend and a short-term action effect between the intervention measure and a psychological state; the psychological state matching adaptation degree data is generated through feature combination and optimization, the intervention measures are dynamically optimized, the real-time optimization intervention strategy is output, and the stability and the individualized adaptation degree of the psychological intervention process are improved.

The invention discloses a VR psychological intervention method fusing emotion release and wake-up, and relates to the technical field of VR psychological intervention, comprising the following steps: after a user enters a virtual reality psychological intervention environment, a system synchronously collects physiological signals, voice intonation and facial micro-expression information of the user to obtain multi-modal data; the physiological signals comprise galvanic skin response, heart rate and heart rate variability; based on the multi-modal data, the emotional states of the user are classified, emotional state labels are generated, and the emotional state labels comprise three types of high-negative emotions, low-negative emotions and positive emotions; when the emotional state label indicates that the user is in a high-negative emotional state, an emotional release stage is triggered, the user captures a dark energy ball appearing in a virtual space through gesture interaction and executes a throwing-out action, and the energy ball moves along with a gesture track of the user and explodes and dissipates after the release action of the user is completed.

The application discloses a psychological intervention method and system based on dynamic intention routing and thought chain reasoning, and belongs to the technical field of artificial intelligence and mental health. The method comprises the following steps: performing feature scanning on user input through a double-track detection mechanism composed of a semantic similarity model and a sensitive word matching algorithm, and generating an emotional tendency score and a crisis risk weight; comparing the scanning result with a preset threshold, and shunting to a red early warning, yellow intervention or green general path; triggering a three-level early warning action for the red path; starting a thought chain reasoning engine for the yellow path, sequentially calling multiple logic operators, and generating a step-by-step traceable intervention strategy; calling a general dialogue engine for the green path; and dynamically adjusting the guidance intensity and the level of empathy based on user feedback. The application realizes millisecond-level recognition and forced interruption of high-risk intentions, ensures the professionalism and interpretability of the intervention process through structured reasoning, and significantly improves the safety, professionalism and response efficiency of the psychological intervention system.

The application discloses a virtual reality scene driven psychological intervention adaptive training method and system, relates to the virtual reality intervention training field, and has the technical scheme as follows: a virtual training scene with configurable parameters is generated according to psychological evaluation data; a second training target vector with logical complementarity with the first training target vector is acquired; second behavior data of a second user is received, and the second behavior data is mapped into virtual role behavior in a virtual training scene corresponding to the first user; first behavior data of the first user in the virtual training scene is collected, and the first behavior data is transmitted to the second user, so that the first behavior data is mapped into virtual role behavior in a virtual training scene corresponding to the second user. The application can not only quickly construct a virtual role, but also enhance the authenticity and reaction efficiency of the virtual role, reduce the required computing resources of the virtual reality scene driving, and improve the skill transfer rate.

The application provides an artificial intelligence-based postoperative rehabilitation nursing system for the elderly, and relates to the field of intelligent nursing, which first encrypts and normalizes the collected emotional log data set of the target elderly object to obtain the time sequence distribution of the encrypted emotional log, then uses an artificial intelligence-based data analysis method to summarize the content and embed the semantics of the time sequence distribution of the encrypted emotional log to obtain the time sequence distribution of the emotional log summary semantic features, and obtains the emotion recognition result based on the context causal correlation coding features of the time sequence distribution of the emotional log summary semantic features, and finally judges whether to generate a psychological intervention prompt signal based on the emotion recognition result. In this way, by continuously monitoring and analyzing the emotional fluctuations and laws of the elderly, it is helpful to more accurately capture the emotional state, and thus improve the timeliness, effectiveness and intelligent degree of psychological intervention.

The invention provides a large model interaction system based on a cognitive behavior therapy, relates to the technical field of large model interaction, and realizes specialized intelligent intervention based on the cognitive behavior therapy by integrating a cognitive challenge technology library, a process modeling module, a double-track agent collaboration module and a quantitative evaluation module. Wherein the process modeling module is used for calling a structured cognitive reconstruction technology, dividing the whole process of the cognitive behavior therapy into stages with definite quantitative switching standards, and ensuring the continuity and target orientation of the therapy; the double-track intelligent agent works cooperatively, the dialogue interaction intelligent agent guides a user to complete a task in a natural language, and meanwhile, the process evaluation intelligent agent evaluates information quality and a target achievement condition in real time to realize dynamic process regulation and control; the quantitative evaluation module generates a quantifiable improvement signal through multi-dimensional scoring, and provides an objective basis for completion degree judgment and process promotion of each stage of the whole process of the cognitive behavior therapy, so that the normalization and effectiveness of psychological intervention are improved.

This invention relates to the field of artificial intelligence psychological intervention technology, and in particular to a psychological counseling-level two-way psychological buffering method and smart earphone based on multi-scenario AI voice analysis. The method includes the following steps: collecting the speaker's voice and converting it into text and emotional information; training a neural network model using a dataset composed of emotional information to obtain an AI emotion model; analyzing and processing the two-way psychological buffering based on the wearer's personal personality traits, the level of harm in the dialogue, and text information, and outputting personalized psychological buffering scripts; recognizing text and emotional information from the speaker's voice, and extracting personal personality traits by combining the wearer's historical voice data; accurately calculating the dialogue harm score using a dialogue harm scoring formula, and determining whether to activate the two-way psychological buffering mechanism based on the harm level, thereby achieving timely emotional intervention and protection, fundamentally eliminating self-denial, strengthening psychological boundaries, and preventing the intergenerational transmission and cross-scenario spread of emotions.

The application discloses a kind of phobia treatment systems based on immersive VR and gaze adaptive virtual cognitions, at least including scene configuration module, task control module, eye movement data acquisition device, data processing module and psychological intervention module, it is applied to the treatment and training in the aspects such as psychological disorder, social skill based on the virtual cognitions (Virtual Cognitions, VCs) technology of gaze point adaptation, especially for the exposure treatment of phobia patient, the system can be applied in large scale, it is favorable to with more efficient, convenient way, improve the treatment effect of phobia and other psychological disorder diseases, help patient to walk out the gloom of fear.

The application provides a severe psychological and limb rehabilitation system based on virtual reality and augmented reality, which comprises a multi-modal data acquisition unit, which acquires limb movement data, physiological index data and psychological state data of a patient in real time; an edge-cloud collaborative processing unit, which comprises an edge computing node and a cloud server; and an immersive interaction unit, which guides the patient to complete rehabilitation training tasks, including upper limb grasping training, lower limb gait training and psychological intervention scenes, through a virtual scene and tactile / auditory / visual feedback; wherein the multi-modal data acquisition unit is in communication connection with the edge computing node, the edge computing node and the cloud server interact data through an encryption protocol, and rehabilitation strategies generated by the cloud server are fed back to the patient in real time through the immersive interaction unit. The VR / AR technology can provide an immersive training environment, and the movement, psychological and physiological states of the patient can be monitored in real time, so that a personalized rehabilitation plan is automatically generated, and precise treatment and personalized intervention are realized.

1. Name of this design product: Picture Book (Children's Psychological Intervention AR). 2. Purpose of this design: for reading and learning. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a psychological intervention method of a wearable relaxation device, the wearable relaxation device comprises a wearable waistcoat and a headgear, the front and back of the wearable waistcoat are both provided with a heating sheet and an air bag, and the headgear is internally provided with an ultrasonic generator; a user wears the head sleeve on the head of the waistcoat; an ultrasonic generator emits audio stimulation of specific brain wave guiding components, brain activities of a treated individual are guided to a deep relaxation or semi-sleep state mainly including alpha waves (8-12 Hz) and theta waves (4-8 Hz), and dominant defense and high-alertness reactions are reduced; by means of linguistic or audio meditation guidance, establishment of a safety scene is assisted, excessive activation of sympathetic nerves is reduced, and vagus nerve dominance is improved; the obvious improvement in the aspects of sleep, emotion, self value feeling and the like can be observed in 7-14 days; the original energy feeling is reprogrammed through a multi-layer path, the deep subconsciousness is changed, and the recurrence probability is low.

The present application belongs to the technical field of artificial intelligence and digital mental health, and specifically relates to a multi-modal fusion anti-immersion psychological intervention closed-loop method and system, which comprises: collecting multi-channel electroencephalogram signals and voice signals and fusing and outputting real-time emotion true value scores; calling three types of intervention means of somatic physical interaction device accompaniment, conversational artificial intelligence emotional support and structured behavior activation task according to the grading of the scores; performing dynamic reduction on virtual interaction means and dynamic increase on behavior activation task according to the anti-immersion principle; performing longitudinal closed-loop analysis on three types of core indicators according to the preset evaluation period; and reversely optimizing intervention strategy parameters according to the analysis results, so that the present application takes the recovery of real social functions as a goal orientation and avoids that the intervention system itself becomes a new source of digital dependence.

The invention belongs to the technical field of model training, and provides a post-disaster psychological intervention model training method, which comprises the following steps: S1, acquiring sample medical record data, and extracting triple content from the sample medical record data; s2, determining a scene category according to the patient chief complaint content, and distributing a scene label and a scene knowledge base for the sample medical record data; s3, according to the scene category combination with the maximum word frequency, obtaining a diagnosis result and a disease severity degree score; s4, verifying the logic consistency of the diagnosis result obtained in the step S3 and the clinical diagnosis extracted in the step S1, and obtaining a logic deviation degree; if the logic deviation degree and the disease severity are smaller than or equal to the threshold value, executing S5; otherwise, returning to S3; and S5, based on the diagnosis result, generating an integrated treatment scheme of a drug therapy and a psychotherapy. The method effectively solves the problem that the number of professional psychologists is limited, and large-scale post-disaster psychological assistance requirements cannot be met, psychological intervention resources can break through the limitation of time, geography and human resources, and efficient distribution is achieved.

The invention discloses an emotion recognition method and system based on an intrinsic plastic spiking neural network. Electroencephalogram signal data at continuous moments in the emotion induction process are collected as network input, input and coding of EEG signals are completed through an input layer with an internal plasticity pulse neural network, and after feature extraction, pulse coding and classification processing, corresponding emotion category recognition results are output. And accurate evaluation and dynamic judgment of the emotional state are realized. Different neurons in the impulsive neural network with internal plasticity dynamically adjust membrane parameters (membrane resistance, membrane capacitance, discharge threshold and the like) through internal plasticity rules to improve the differentiated response capability of the model to the neurons. According to the method, the emotion recognition precision, the cross-subject generalization ability and the adaptability to non-stationary EEG signals are effectively improved, then the recognition result is better applied to actual scenes such as emotion evaluation, psychological intervention and brain-computer interface interaction, and the robustness, stability and practical value of the system are improved.

The application discloses a respiratory disease psychological intervention and sleep improvement system based on five-tone therapy, relates to the cross field of respiratory disease rehabilitation technology, traditional Chinese medicine five-tone therapy and intelligent medical equipment; the system collects respiratory parameters of a patient in a sleep state at night in real time and without contact through a 60G millimeter wave radar module, including key indexes such as apnea frequency, apnea duration, respiratory frequency and blood oxygen saturation, and through a multi-parameter coupling judgment algorithm, the system can accurately judge the current respiratory state of the patient, such as a pre-apnea symptom, an apnea state and a relief state, and accordingly generate corresponding five-tone adjustment instructions; the accurate monitoring and dynamic intervention mechanism effectively improves the pertinence and timeliness of intervention, and significantly improves the respiratory state and sleep quality of the patient.

This invention relates to the field of psychological counseling technology, and particularly to an intelligent psychological counseling method and system. The method includes: acquiring user consultation input and performing standardized and structured processing; identifying implicit emotions based on a BERT model and generating an emotion intensity matrix, extracting and mapping domain-specific terminology, and generating emotion recognition results through multi-task learning; generating an initial response strategy based on a CBT intervention framework and strategy library for high-pressure environments, and generating a final response through logical verification and NLG; performing contextual analysis by associating with historical dialogues, updating and encapsulating complete dialogue records using a memory network; performing end-to-end encryption and secure storage, and dynamically optimizing system configuration. This invention improves the accuracy, professionalism, and security of emotion recognition and psychological intervention, effectively meeting specific psychological counseling needs.

The invention discloses a psychological health data processing system and wearable equipment, and the psychological health data processing system comprises the wearable equipment which is used for collecting physiological data of a target user as collected physiological data, and sending the collected physiological data to an equipment application server, the collected physiological data is physiological data used for obtaining psychological health data of the target user; the equipment application server side is used for providing service for equipment application and sending collected physiological data to the medical data server side; the medical data server is used for acquiring medical data, acquiring psychological health data according to the medical data and acquired physiological data, acquiring psychological intervention parameter data according to the psychological health data, and returning the psychological intervention parameter data to the equipment application server; the equipment application server is also used for returning the psychological intervention parameter data to the wearable equipment; the wearable device is further used for executing psychological intervention according to the psychological intervention parameter data. The psychological health data processing system is intelligent, convenient and wide in application range.

The invention relates to a psychological intervention method based on a virtual reality technology, and belongs to the technical field of psychological intervention. The method comprises the following steps: constructing a standardized psychological intervention scene library, generating a psychological feature portrait of a user, and outputting a personalized initial intervention scene in combination with a fuzzy comprehensive evaluation model; collecting physiological signals of a user to construct a central-peripheral two-dimensional feature matrix, performing feature fusion based on an attention mechanism, constructing an emotion recognition model to predict an emotion trend, and presenting the emotion trend in a layered interactive emotion thermodynamic diagram; an emotion-scene parameter dynamic adjustment model is established, intervention is performed through a hierarchical stress response mechanism, and scene semantic self-adaptive adaptation is realized based on life scene labels; a multi-modal interaction system is constructed, scene stimulation intensity is adapted according to a voice emotion state, and an exclusive intervention file of a user is generated through distributed log records. Personalized and self-adaptive adjustment of psychological intervention is realized.

The invention relates to the technical field of medical information processing, and particularly discloses a chemotherapy sign and emotional entropy coupled psychological elasticity dynamic portraying method, which comprises the following steps of: acquiring continuous time sequence sign data and emotional state data of a chemotherapy patient, calculating an emotional entropy change rate, and constructing an individualized emotion-physiological coupling kinetic model; the psychological state of the patient is predicted in real time; a psychological toughness probe microexperiment mechanism is introduced, when an emotion-physiological resonance state is recognized, the psychological regulation ability of a patient is quantitatively evaluated, and an instant elastic recovery spectrum is generated; a dynamic psychological elasticity portrait is generated by combining the resonance state recognition result and the instant elasticity recovery spectrum, and personalized nursing suggestions are provided; meanwhile, model parameters are optimized through feedback signals, and long-term accuracy and effectiveness of the system are ensured; according to the method, dynamic, accurate and personalized monitoring and support on the psychological elasticity of the patient are realized, and the initiative and timeliness of psychological intervention are improved.

The invention relates to the crossing field of virtual reality technology and psychological therapy, and particularly discloses a multi-person collaborative VR psychological counseling system and method based on large space positioning, which integrates the functions of large space positioning, real-time interactive management, psychological counseling content generation, remote therapist control and the like. The method comprises the steps of establishing positioning mapping of users in a physical space, obtaining position data of the users, achieving dynamic monitoring of behavior performance indexes and emotion performance indexes of the multiple users based on the position data, analyzing the mental health recovery degree of the users according to the behavior performance indexes and the emotion performance indexes, and recommending and adjusting a tutoring virtual scene. A real-time monitoring and intervention means is provided for a therapist according to the mental health recovery degree; the method is suitable for group psychological intervention, social behavior training and emotion regulation treatment, and aims to provide more real and effective group psychological counseling experience through a highly immersive virtual environment.

The application discloses a kind of multi-modal depression disorder prediction system and method based on viewing task, system includes viewing task module, physiological signal acquisition equipment, feature extraction module, data processing module and prediction module, viewer wears wearable physiological signal acquisition equipment integrated with pulse wave sensor, skin resistance sensor;Viewing task module presents rest film segment, evokes acute psychological stress material segment and psychological intervention regulation material segment in turn for viewer;Synchronous acquisition physiological data signal when viewer watches each viewing task;The obtained physiological data signal is processed and extracted, and the feature difference I of the skin conductance level of the viewer in the viewing process and the feature difference I of high-frequency power spectral density are obtained;With judgment threshold value is compared and analyzed, the risk level of the depression disorder of viewer is predicted.The application combines film plot and physiological detection means, objectively analyzes the risk of existing depression disorder, and the detection accuracy is higher.

The invention discloses a psychological assessment and intervention system and method based on Go behavior analysis, and relates to the technical field of psychological health, the system comprises a chess manual data acquisition module, a digital cardiac therapy all-in-one machine, a psychological behavior quantitative analysis model and a man-machine combination study and judgment platform. The method comprises the following steps: collecting chess manual data generated when a user plays chess on a general go platform; the chess manual is imported into the all-in-one machine, each step of chess is classified into a local hand, a nostrum, a custom hand or a faint hand through the quantitative analysis model and mapped to a preset psychological behavior mode, and a preliminary quantitative report is generated; and performing deep interpretation and verification by a professional analyst in combination with a chess context to form a final evaluation conclusion. The system can also perform targeted intervention through an ABC psychological enabling engine, and comprises a cognitive remodeling module, a behavior construction module and a social adaptation module. Psychological assessment is realized by quantitatively analyzing the Go behaviors, and the assessment accuracy is improved in combination with man-machine research and judgment, so that a basis is provided for psychological intervention.