63 results about "Psychological support" patented technology

The invention relates to the field of healing dialogues, and particularly discloses a psychotherapy-healing-oriented large-model dialogue agent which realizes deep analysis of core emotions, cognitive states and potential demands of a user by integrating real-time input, historical dialogue abstracts and emotional memory and adopting a structured coding and feature fusion technology. Based on the emotion signal and the semantic analysis result, matching a predefined emotional strategy label, and ensuring that a response strategy accords with psychological intervention logic. The psychological theory is converted into an executable dialogue framework through key element recognition and instruction embedding, and the integrating degree and safety are improved in cooperation with multi-candidate generation and an emotional quality evaluation mechanism based on semantic embedding. According to the scheme, by continuously optimizing emotion representation and strategy matching, the defects of a traditional model in the aspects of emotion tracking, professional fusion and safety control are effectively overcome, and the depth and reliability of psychological support are remarkably improved.

The invention discloses a disease risk prediction method and system based on big data analysis, and relates to the technical field of disease risk prediction. The method comprises the steps of obtaining multi-source data, and performing data cleaning, feature selection and data standardization processing; marking and labeling the collected data, constructing a disease risk prediction model through supervised learning, and performing real-time prediction and dynamic updating; the comprehensive disease risk value of the patient is calculated according to the multiple indexes, and abnormal early warning and personalized intervention including health suggestion, follow-up visit management and psychological support are carried out. The system comprises a data acquisition module, a screening module, a risk prediction module, an evaluation module, an abnormity early warning module and a control module. According to the system, through multi-source data acquisition and intelligent processing, accurate prediction and comprehensive evaluation of disease risks are realized, prediction accuracy is improved, personalization of health management is enhanced, and timely early warning and disease risk reduction are facilitated. According to the invention, the early discovery rate and prevention effect of diseases can be improved, and the medical cost is reduced.

The invention discloses a psychological support strategy generation engine based on multi-modal data fusion, and relates to the technical field of psychological health, the engine comprises a multi-modal data acquisition module, a multi-modal data fusion processing module, a dynamic recovery trajectory modeling module, a recovery process prediction and strategy generation module and a strategy evaluation and feedback adjustment module; multi-modal data such as physiology, behaviors and voice are deeply combined with core theories such as cognitive behavior therapy and positive psychology through an innovative mechanism, data processing is performed according to theoretical constraint cleaning, and data compliance is ensured; fusing the matching degree of the mid-quantized data and the theoretical dimension, and associating objective data with theoretical indexes; dynamic modeling strengthens sensitive features such as a critical period of wound recovery, so that evaluation reflects physiological and behavior changes and embodies intrinsic features such as psychological toughness, a real psychological state can be accurately captured, a recovery risk can be recognized in advance, a scientific basis is provided for accurate intervention, and pertinence and foresight of psychological support are effectively improved.

The invention relates to the field of intelligent consultation of health information, and particularly discloses an intelligent health information consultation system and method based on interactive voice response, and the method comprises the steps: firstly obtaining a psychological consultation voice signal of a consultant and psychological health information data of a plurality of different emotion labels in a database, and enabling the psychological consultation voice signal and the psychological health information data to serve as input data; then, the deep learning technology is used for conducting feature extraction and analysis on the input data, and then feature information is comprehensively analyzed to obtain a classification result used for representing psychological emotion labels of consultants. In this way, the system can generate personalized psychological health voice responses based on the psychological emotion labels. Therefore, timely, convenient and confidential psychological support can be effectively provided for the consultant, resonance of the consultant is further caused, and the consultant is helped to relieve pressure and dispatch mind of the consultant.

The invention relates to a psychological consultation data processing method and system and electronic equipment. The method comprises the following steps: acquiring multi-modal sensing data of a target user; constructing a multi-layer target for the target user based on the multi-modal sensing data; based on the intelligent agent types contained in the multi-layer target dynamic configuration parallel thinking collaborative network, configuring parallel computing resources for different types of intelligent agents in the parallel thinking collaborative network; the parallel thinking collaborative network is used for simulating the multi-dimensional parallel thinking ability of a consultant; through a parallel thinking collaborative network, a dynamic collaborative decision-making mechanism is adopted to schedule different types of agents to collaboratively process different psychological tasks, psychological consultation interaction with a target user is realized in combination with a parallel psychological reasoning pipeline, and a personalized psychological support scheme in a complex scene is provided for the target user. According to the method, the psychological consultation process can be highly simulated and personalized, the coping ability and adaptability to complex psychological problems are improved, and the quality and effect of psychological consultation services are improved.

The invention discloses a mental health monitoring and nursing robot with body-multi-dimensional intelligent cooperation. The robot comprises a mobile robot platform equipped with a differential driving chassis, a laser SLAM navigation module and the like; a multi-mode sensing network integrating an RGB-D depth camera, a thermal imager and the like processes data in real time through an edge computing unit; an intelligent decision-making engine based on a micro-service architecture covers a patrol recognition module, a vital sign monitoring module, a psychological support Transform dialogue model, a multi-modal emotion recognition module and the like; and the man-machine interaction interface is connected through an end-to-end encrypted 5G network. A medicine compliance management module, an RFID medicine box and a privacy protection scheme of medicine taking action recognition and federal learning and differential privacy are further arranged. The method has the advantages that nursing efficiency is improved by more than 40%, adverse event occurrence rate is reduced by 35%, psychological intervention coverage rate is improved, medicine taking compliance is improved, sublingual Tibetan medicine detection rate is improved to more than 95%, data privacy is safe and controllable, and intelligent upgrading of mental health nursing is promoted.

The invention discloses an intelligent feedback type encephalopathy rehabilitation guidance training system which collects physiological data of a patient in real time through a wearable device or a brain-computer interface, carries out accurate evaluation and generates a personalized training plan in combination with individual differences and rehabilitation progress of the patient. In the training process, the system provides immediate feedback and guidance, and correctness and effectiveness of training are ensured. Meanwhile, the system also integrates comprehensive rehabilitation guidance functions, including cognition, language and motion function recovery, psychological support, life skill training and the like; through the cloud data processing center, medical personnel can remotely monitor the rehabilitation condition of a patient and adjust a training plan in time. The system not only improves the pertinence and effectiveness of rehabilitation training, but also enhances the rehabilitation confidence and participation degree of the patient. In a word, the intelligent feedback type encephalopathy rehabilitation guidance training system provides all-around and personalized rehabilitation services for encephalopathy patients, and the rehabilitation effect and the satisfaction degree of the patients are remarkably improved.

The invention discloses an intelligent accompanying method and system fusing distributed learning and privacy multistage regulation, and the method comprises the steps: collecting the multi-modal interaction data of a user, constructing a local cognitive stage map and an emotion evaluation model, and carrying out the semantic sensitive modeling and differential privacy disturbance processing according to a privacy strategy set by the user. Dynamic transfer learning and asynchronous contrast training of desensitized data are completed at edge nodes, and the desensitized data are uploaded to a cloud for aggregation, so that a multi-branch elastic strategy is generated, and accompanying requirements under different cognitive states and task situations are met. Meanwhile, the accompanying behavior style is dynamically adjusted through strategy feedback and a context matching mechanism, and personalized adaptation of language preference and ethical sensitivity of the user is achieved. The system has cross-modal privacy protection, multi-level model generalization, cultural expression adaptation and long-term accompanying evolution capabilities, improves the safety, individuation and ethical consistency of intelligent accompanying, and is suitable for various scenes such as education, health and psychological support.

The invention relates to the technical field of personalized intelligent dialogue and digital accompanying for old people, and discloses an AI interaction-based personalized knowledge graph dialogue generation method for old people, which comprises the following steps of: reading a role conversion event record from a family structure sub-graph of a personalized knowledge graph for old people, and generating a role fall feeling feature template; aI dialogue initiation records of the old in recent late night periods are obtained, the number of days of continuous late night dialogues, the average dialogue duration and the active listing frequency are counted, and an aloneness level label is generated; generating a personalized spiral blocking intervention scheme based on the spiral strength coefficient and the spiral type label; and executing the collaborative psychological support dialogue script to generate a dialogue, and outputting a continuous personalized psychological support dialogue sequence. According to the method, the technical challenge that in the AI interaction-based elderly dialogue service, when the psychological state is worsened spirally due to the fact that the sense of fall and the sense of loneliness of roles are enhanced mutually, it is difficult to generate effective intervention dialogues by means of the personalized knowledge graph is solved.

The invention relates to an intelligent dialogue method, system and device based on multiple agents and a medium. The method comprises the following steps: carrying out preliminary early warning analysis of mental health risks on dialogue information of a user; if the preliminary early warning analysis result is high risk, generating a subsequent dialogue strategy for the dialogue information through an early warning dialogue agent, and performing advanced early warning analysis for dialogue content acquired based on the dialogue strategy; if the preliminary early warning analysis result is not high risk and it is identified that the user has a recommendation demand, outputting a recommendation result through a recommendation agent; and if the preliminary early warning analysis result is not high risk and the user does not have a recommendation demand, predicting a target psychological scene and a target emotion based on the dialogue information, determining an emotional skill combination based on the target psychological scene and the target emotion through an emotional dialogue agent, and performing a subsequent dialogue based on the emotional skill combination. The method can improve the problem that psychological support provided for the user is too limited.

The invention provides a virtual reality processing method and system in an emergency training simulator. The method comprises the following steps: constructing a highly-simulated virtual first-aid scene, obtaining immersive first-aid training experience of seamless interaction between a user and a virtual environment, and generating interaction feedback data; according to the interaction feedback data, carrying out dynamic adjustment processing on a development track of the first-aid event, and generating a personalized first-aid scene branch; on the basis of the personalized first-aid scene branch, personalized guidance information is generated in real time, and a personalized guidance and psychological support scheme is generated; and designing vivid resource limiting conditions, carefully configuring virtual props and environment settings according to the personalized guidance and psychological support scheme, simulating first-aid resource constraints in the real world, and generating an actual combat ability strengthening training environment under team cooperation. According to the technical scheme provided by the invention, the reality, individuation, immediate feedback and actual drill effects of first-aid training are greatly improved.

The invention provides a deep psychological support intelligent device based on a multi-mode technology. The equipment integrates facial expression recognition, sound and intonation recognition, psychological professional knowledge, deep semantic understanding, multi-modal emotion and physiological signal capture, virtual reality (VR) and augmented reality (AR) technologies, block chain data privacy guarantee, biofeedback technology and other frontier technologies, and has self-learning and optimization functions. The working mode of a professional real psychological counselor can be simulated, and deep psychological support and personalized psychological counseling service are provided for the user.

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

The present invention proposes a method and system for generating psychological support Q&A based on two-stage retrieval enhanced LLM. In the first stage, the original question is used as a retrieval query condition to perform a retrieval operation from an external resource library. Then, the original question and the retrieval results are used as context cues to construct a prompt and input it into the LLM to generate several generated answers. The original question and the generated answers are fused as a retrieval query condition to perform a second-stage retrieval operation from the external resource library. Then, the original question and the retrieval results are used as context cues to construct a prompt and input it into the LLM to generate the final answer, obtaining a psychological support answer. Aiming at the problem that simply using the LLM to generate psychological support answers often makes it difficult to accurately control the professionalism and pertinence of the generated answers, through the two-stage retrieval enhancement method, professional resources are obtained from the external resource library to guide the LLM to generate more professional and personalized psychological support answers, so as to improve the overall performance of the LLM for automatically generating psychological support answers.

The invention discloses a wake-up method based on expression recognition, a robot and an interaction device capable of performing wake-up control through facial expressions of a user. The wake-up method and the robot are suitable for scenes such as psychological care, accompanying robots, child / old-age auxiliary equipment and the like. The device has multi-modal fusion perception and facial emotion active recognition awakening capability, and can remarkably improve the awakening accuracy, the humanization degree and the technical depth. By integrating an expression recognition awakening mechanism, the naturalness and initiative of man-machine interaction are improved, and the limitation of awakening depending on a single mode such as voice and touch control in the prior art is improved. The robot supports voice wake-up, touch wake-up and button wake-up modes at the same time, and a multi-mode fusion wake-up mechanism is achieved. The naturalness and usability of the psychological support robot in the man-machine interaction process are improved, and the psychological support robot is particularly suitable for non-contact emotion accompanying and psychological intervention of children, old people and language barrier users.

This invention discloses an intelligent health education method, device, equipment, and storage medium for gynecological tumor patients. The method acquires the patient's electronic medical record information and patient interaction data. Based on the electronic medical record information, it identifies the gynecological tumor disease type and treatment stage tags. Based on the patient interaction data, it specifically identifies psychological stress signals related to gynecological tumor treatment, generating a profile of the patient's current psychosomatic state. It matches and dynamically generates personalized health education content and psychological counseling plans from a structured knowledge base. Based on the patient's treatment data, it automatically generates reminders for medication and follow-up examinations. It structurally correlates the output records of personalized health education content and the patient's feedback data on the reminders to form a digital pathmap for patient education. This enables dynamic matching and personalized generation of health education content and psychological counseling plans, improving the patient's cognitive adaptability to health information and the effectiveness of psychological support, achieving closed-loop management throughout the entire hospital and inpatient cycle.

The invention relates to the technical field of intelligent desks, and discloses an intelligent desk for guarding health of teenagers, the intelligent desk comprises a supporting device, a display device, a lighting device, a sensor device and a control device, the display device, the lighting device and the control device are all located at the top of the supporting device, and the sensor device is located in the supporting device. The panel camera can scan facial expressions of students, the facial expressions are analyzed through the mainboard CPU, the emotional state of the teenagers and whether the teenagers feel fatigue, tension or anxiety can be evaluated, and the information is very helpful for timely finding and correcting bad habits of the teenagers and providing psychological support. According to the utility model, students' homework can be scanned through the image-text recognition camera, the homework can be checked and answered through the mainboard CPU, so that the learning efficiency of the students can be effectively improved, and the display screen can be externally connected with other learning equipment through the USB connector, so that various learning contents can be provided for the students.

The invention provides an applet system for communication between a patient and family members in an ICU (Intensive Care Unit), and relates to the technical field of ICU patient management. The system comprises a subject entry notice and information list module which is used for providing image-text interpretation for assisting in understanding ICU and key information for representing the health condition of a patient; a medical staff information and cost management module; the visiting appointment module is used for appointment visiting time for remote video visiting with the patient; the remote visiting module integrates a video call technology and a short message sending technology and is used for supporting remote video visiting of family members and patients at visiting time; a disease progress and daily report module; a health education and psychological support module; a family member interaction and experience sharing module; and an emergency contact and assistance module. Through the system, the unknown fear of family members to the ICU can be eliminated, the time for the family members to search for medical staff is shortened, the trust of the family members to a medical team is enhanced, and the emotional communication requirements of patients and the family members are met.

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.

The system according to the embodiment aims to provide a mental support person that children can easily talk to and receive professional advice and support. [Solution] A system according to an embodiment includes a selection unit, a reception unit, a response generation unit, an analysis unit, and an advice provision unit. The selection unit allows a child to select a virtual friend or animal. The reception unit receives the child's speech, which the child speaks to the virtual friend or animal selected by the selection unit. The response generation unit understands the speech received by the reception unit and generates a response. The analysis unit provides information to a professional counselor as needed based on the response generated by the response generation unit. The advice provision unit allows the counselor to provide advice or support based on the information provided by the analysis unit.

This invention relates to the field of personalized intelligent dialogue and digital companionship technology for the elderly, and discloses a method for generating personalized knowledge graph dialogues for the elderly based on AI interaction. The method includes: reading role transition event records from the family structure subgraph of the elderly's personalized knowledge graph to generate a role loss feature template; obtaining recent AI dialogue initiation records during late-night hours, statistically analyzing the number of consecutive late-night dialogues, average dialogue duration, and frequency of proactive communication to generate loneliness level labels; generating personalized spiral blocking intervention plans based on spiral intensity coefficients and spiral type labels; and executing the collaborative psychological support dialogue script to generate dialogues and output a continuous personalized psychological support dialogue sequence. This invention addresses the technical challenge of generating effective intervention dialogues using personalized knowledge graphs when role loss and loneliness reinforce each other in AI-interactive elderly dialogue services, leading to a spiral deterioration of the psychological state.

The invention provides an energy combustion and explosion physical risk response-public emotion regulation and control cooperation method and platform, and the method comprises the steps: carrying out the preprocessing of the real-time data of an edge layer through a risk analysis and early warning prevention and control unit, and building a gas combustion and explosion risk database; a standardized cloud database is constructed based on multi-source and multi-modal data by utilizing an online incremental learning unit, batch automatic preprocessing, storage and calling of the data are realized, and the purposes of improving the calculation efficiency and reducing the manual operation amount are achieved; the emotion learning and analysis unit is used for crawling related accident news and public opinions; based on emotion prediction and intervention, digital twins are combined with an emotion analysis process, and public emotion prediction, staged psychological support and resource scheduling are realized. The technical problem that a decision blind area exists in emergency response due to the fact that physical risk early warning and emotional evolution analysis cannot be dynamically correlated is solved.

We provide the system. [Solution] Information processing means for receiving learner information and generating an individualized learning plan, A planning means for presenting learning items based on the learning plan, taking into consideration the appropriate timing for relearning; Information analysis means for monitoring learners' learning progress and emotional state, and for providing psychological support, A display means that uses a portable information terminal to display personalized learning information to the user in real time and allows for two-way information exchange, A synchronization mechanism for periodically collecting learner progress data and sending it to a dedicated server, A system that includes this.

The invention discloses a medical intelligent treatment system, and relates to the technical field of treatment systems. The system comprises a data integration and analysis module, the output end and the input end of the data integration and analysis module are electrically connected with an emotion recognition module, and the output end and the input end of the data integration and analysis module are electrically connected with a psychological support and intervention module. Through multi-module cooperation, an emotional disorder symptom network is constructed, a core intervention node is accurately determined, the drug treatment accuracy is improved, adverse effects caused by individual differences are reduced, an exclusive emotion regulation scheme is formulated through the personalized intervention scheme generation sub-module, for example, specific courses are customized for patients associated with anxiety and wine dependence, and meanwhile, the emotion regulation effect is improved. The longitudinal dynamic analysis sub-module continuously tracks patient data, updates a symptom network model every two weeks, timely captures subtle changes of illness conditions, and comprehensively meets complex and diversified treatment requirements of wine-dependent patients.

The system according to this embodiment aims to track the movements of rehabilitation patients and provide appropriate feedback and mental support. [Solution] The system according to the embodiment comprises a tracking unit, a monitoring unit, a feedback unit, a support unit, and a mental support unit. The tracking unit tracks the user's movements. The monitoring unit monitors the movements tracked by the tracking unit. The feedback unit provides feedback based on the movements monitored by the monitoring unit. The support unit supports the user's movements based on the feedback provided by the feedback unit. The mental support unit provides mental support based on the movements supported by the support unit.

The invention relates to the technical field of AI questioning and answering, and discloses an AI questioning and answering method and system based on user intention recognition and multi-module collaboration.The method comprises the steps that after a question input by a user is obtained, query analysis and intention recognition are conducted on the question, and an intention label representing the question type is obtained; then, based on the intention label, packaging the question into one of a knowledge question-answer task packet, a value thinking task packet or a psychological support task packet through conditional routing; further, a specialized module corresponding to the task package type, namely a knowledge question and answer module, a Scoagraki dialogue module or a psychotherapy module, performs cooperative processing on the task package to generate a structured response; and finally, formatting and unifying the structured response to obtain a final user response. In this way, more accurate, professional and effective responses can be provided for different types of user questions, and the question and answer quality and reliability in a complex scene are remarkably improved.

The invention discloses a pain assessment and intervention system, which belongs to the technical field of medical detection and comprises a user interaction module, a monitoring feedback module, a privacy security module, a cache management module, an assessment adjustment module, a comprehensive atlas module, a deep assessment module, an intervention suggestion module and a psychological support module. According to the method, more personalized pain assessment can be realized, the pain problem of a patient can be better managed, the workload of a doctor can be relieved, medical resources can be more reasonably distributed, the comprehensiveness and accuracy of pain assessment are improved, a more complete data basis is provided for comprehensive assessment, a deeper diagnosis basis is provided for the doctor, and the patient experience is improved. And the information related to the pain can be more comprehensively mined.

The invention discloses a vehicle-mounted AI psychological counseling system based on a large language model, which constructs a lightweight psychological counseling model special for a vehicle-mounted environment through a multi-stage fine tuning and quantitative optimization technology. The model can analyze the emotion of a driver in real time, provide personalized suggestions and dynamic psychological support, effectively relieve driving pressure, reduce traffic accident risks caused by psychological factors, make remarkable breakthrough in the aspects of model size, energy consumption and scene adaptability, and solve the problems of computing power and privacy of a vehicle-mounted environment.

The invention provides a psychological support answer automatic generation method based on LLMs iterative correction, and the method comprises the steps: firstly constructing a help seeker figure portrait prompt, and then carrying out the retrieval of a resource library according to the help seeker figure portrait prompt, and obtaining a plurality of answers; generating a corresponding strategy chain for each answer by utilizing the LLMs, and guiding the LLMs to select an optimal strategy chain from the LLMs; generating an initial answer based on the optimal strategy chain; and iteratively guiding the LLMs to discover the initial answer'insufficiency 'information, and finally constructing a correction suggestion based on the initial answer'insufficiency' information so as to guide the LLMs to generate a final answer. The method is based on retrieval enhancement, combines a psychological support strategy theory and intrinsic functions of self-exploration and correction of the LLMs, constructs a dynamic collaborative triple prompt framework, and guides the LLMs to generate high-quality answers with higher relevance and individuation.

The present application belongs to the technical field of intelligent disease management, and particularly relates to a psychological support system and a psychological support and medical closed-loop intelligent management system. The present application provides a personalized dynamic psychological support system for disease initial diagnosis patients and their families, which comprises an AI emotional support video module, and combines voice emotional fluctuation rate (V-Vol), visual situation adaptation index (VSAI) and stress sensitivity index (SSI) parameters to realize visual and personalized emotional support. Based on this, the present application further provides a personalized dynamic psychological support and medical closed-loop management system, which is composed of an AI emotional support video module, a product and resource matching recommendation module, a medical intervention and monitoring module and a feedback monitoring and follow-up support module. The system realizes a continuous intervention closed loop with the patient as the center, and has a wide application prospect in the management of the whole disease course of the patient, especially in the emotional and behavioral intervention aspect.