10 results about "Social function" patented technology

The present invention relates to the field of information processing technology, and specifically discloses a method for constructing a social graph and warning of abnormal behavior for the elderly, wherein the method for constructing a social graph for the elderly comprises the following steps: S1, continuously collecting location data of the elderly; obtaining a pre-constructed place semantic knowledge graph; for each two elderly people, determining whether there is a location co-occurrence relationship between the two, and calculating the location co-occurrence strength when there is a location co-occurrence relationship; calculating the social interaction intensity score between the elderly based on the location co-occurrence strength and the social function weight of the place; constructing a social graph of the elderly community based on the social interaction intensity score and the place function information; the method for constructing a social graph of the elderly community can effectively mine social interaction information from location data, and then construct a social graph of the elderly community, so as to more accurately identify and quantify the real social interactions between the elderly, and provide data support for optimizing care services and activity arrangements for nursing homes.

The invention relates to the technical field of intelligent monitoring of mental health, and discloses a social function prediction system for teenager patients with depression. The system comprises a multi-source data acquisition module, a psychological feature fusion module and a prediction engine module. The multi-source data acquisition module is used for acquiring social interaction records of patients, constructing behavior dynamic characteristics, performing mode recognition and generating behavior mode data. And the psychological feature fusion module performs difference comparison on the behavior data and a healthy group benchmark, screens key behavior indexes, and calculates correlation degree values of the key behavior indexes and psychological assessment parameters in real time. The prediction engine module evaluates the social function degradation type based on the correlation degree, locates vulnerable nodes in the development process, and identifies specific dysfunction points. According to the system, continuous dynamic monitoring of social function states is realized, early warning of degradation risks and accurate positioning of weak links are realized through behavior-psychological correlation analysis, and technical support is provided for targeted intervention.

This invention relates to a swarm intelligence-driven AI-based social companionship and matching method, comprising: collecting multimodal data of patients in social interactions; analyzing the data using a swarm intelligence algorithm that integrates multi-view manual annotations to extract key feature vectors; constructing and continuously updating a dynamic social function profile of the patient based on this profile; calculating the matching degree between the patient and other users or social activities using a neural network matching model based on this profile, and generating a personalized recommendation list; and finally performing the matching to facilitate the patient's participation in online social activities or the establishment of a one-on-one companionship relationship. This invention achieves accurate assessment and dynamic tracking of the social status of AD patients, and effectively improves the personalization and effectiveness of social intervention through intelligent matching, forming a continuously optimized closed-loop support system.

This invention belongs to the field of intelligent diagnosis technology for mental illnesses, specifically relating to a system for predicting the social function of patients with depression. The system includes: an input module for inputting patient indicators; a feature extraction module for extracting gray matter features (IC_SA_GMV) of attention-related brain networks from the input indicators; a prediction module integrating a social function prediction model for patients with depression, which calculates the predicted social function of the patient by analyzing the indicators; and an output module for outputting the prediction results. The system provided by this invention can accurately predict the social function of patients with depression and has promising application prospects.

The application provides an education-oriented non-semantic handwriting psychological warning method and device, a storage medium and equipment, which comprises the following steps: obtaining a paper handwriting image related to an education task; inputting the paper handwriting image into a handwriting feature extraction model to obtain a handwriting feature vector of a subject; comparing the handwriting feature vector of the subject with a handwriting feature baseline of the subject in the same type of education task to obtain a handwriting feature offset; inputting academic record fluctuations, attendance records and campus behaviors of the subject into a multilayer perception machine to obtain a dimension-consistent behavior embedding vector; converting the aligned handwriting feature offset and the behavior embedding vector into standard structured reasoning tokens, and respectively sending them to a handwriting analysis agent and a campus behavior perception agent to obtain physiological stress and social function status of the subject; and sending the physiological stress and the social function status to a multi-modal coordination agent to generate a quantitative risk report and suggestions for an education scene.

The invention discloses a safe residential building which comprises residential units, residential floors, pedestrian stairs or pedestrian stairs and vertical elevators and is characterized in that the safe residential building further comprises at least one safe floor, and the safe floors are provided with safe aisles connected with the pedestrian stairs of all the residential units or all the pedestrian stairs and the vertical elevators of the same building. The safe residential building at least comprises two residential units, and each residential unit is provided with the pedestrian stairway or the pedestrian stairway and the vertical elevator. A social functional community formed by a plurality of safe residential buildings is adopted, rain-shading and sun-shading shortcuts are arranged among part of or all the safe residential buildings, various social services can be provided by utilizing the safe floors arranged at the bottom layer or the lower layer of each safe residential building, and various necessary living requirements and social requirements of owners can be met even if the community is in a remote place.

The invention discloses a social function intervention method and system based on digital cognitive behavior therapy. The method comprises the following steps: acquiring multi-modal data of a patient; performing feature extraction based on the multi-modal data to obtain a plurality of key features; based on the plurality of changed key features, identifying a subtype corresponding to the patient through a preset classification model; based on the subtype corresponding to the patient, matching a corresponding training task theme scene, training task difficulty, an emotion regulation strategy and a rehabilitation target to obtain a personalized social function intervention scheme; acquiring training data of the patient during social training, and updating a personalized social function intervention scheme in real time according to the training data of the patient; and continuously performing social training on the patient until the social function of the patient reaches the expected level. The method is dedicated to recovery of the social function of the patient, and a personalized social intervention scheme is formed by accurately identifying the subtype of the patient so as to adapt to individual differences of the patient.

A system is provided.SOLUTION: A system comprising: means for collecting video and audio data of daily life; means for transmitting the collected video and audio data to a server; means for analyzing the received video and audio data and evaluating a risk of deterioration in physical, psychological, and social functions of a user; means for generating an appropriate care method and lifestyle improvement proposal for the user based on an evaluation result; and means for notifying the user of the generated care proposal.SELECTED DRAWING: Figure 1

The invention provides a psychological early warning method and device for education-oriented non-semantic handwriting, a storage medium and equipment. The psychological early warning method comprises the following steps: acquiring a paper handwriting image related to an education task; inputting the paper handwriting image into a handwriting feature extraction model to obtain a handwriting feature vector of the subject; comparing the handwriting feature vector of the subject with a handwriting feature reference line of the subject in the same type of education tasks to obtain a handwriting feature offset; inputting academic performance fluctuation, attendance records and campus behaviors of the subject into a multi-layer perceptron to obtain behavior embedding vectors with consistent dimensions; converting the aligned handwriting feature offset and behavior embedding vector into a standard structured reasoning token, and respectively sending the standard structured reasoning token to a handwriting analysis agent and a campus behavior perception agent to obtain the physiological pressure and social function state of the subject; and sending the physiological pressure and the social function state to a multi-modal coordination agent, and generating suggestions for quantifying a risk report and an education scene.

The invention discloses a comprehensive effectiveness evaluation method for an urban ecological corridor, which belongs to the technical field of comprehensive effectiveness evaluation methods, and establishes an evaluation system comprising three criterion layers, namely a landscape structure, a natural ecological function and a social function, and the landscape structure covers corridor characteristics (curvature and width) and structures (connectivity and breakpoint density). Natural ecological functions are subdivided into support services (comprehensive species indexes, vegetation coverage, carbon reserves and the like) and regulation services (cooling benefits, humidifying benefits, noise reduction benefits and the like), social functions comprise recreation services and social interference and culture functions, and the system breaks through the limitation of traditional single-dimensional evaluation and is a new system. The spatial structure rationality, the ecological service capability and the social value of the ecological corridor are comprehensively reflected, and a scientific framework is provided for systematic evaluation of the urban ecological corridor.