47 results about "Cognitive behaviour" patented technology

The invention relates to the technical field of data processing and intelligent environment control, in particular to a sleep environment feedback control data processing method based on cognitive behavior therapy logic, which comprises the following steps: a reference model construction step: acquiring a non-contact multi-mode time sequence signal, and reconstructing a reference signal balance curve to construct a target signal manifold model; a simulation flow generation step of converting the preset interference characteristics into signal modulation operators and injecting the signal modulation operators into the model to generate a simulation signal flow; a double-track difference calculation step: executing double-track difference operation to respectively extract residual features representing system deviation and theoretical interference; a similarity judgment and control step: calculating the topological similarity of the residual features in a time-frequency domain, judging a deviation dominant type, generating a corresponding control instruction, and driving an execution mechanism to act; according to the method, psychological anxiety and environmental discomfort are effectively distinguished by using a double-track differential mechanism, and accurate attribution analysis of sleep interference sources is realized.

The invention discloses a computer-aided old-age language erosion assessment method and assessment system, and relates to the technical field of old-age health assessment, and the method comprises the following steps: S1, collecting the voice data, text input data and interactive behavior data of an old-age user; s2, preprocessing the data, and extracting voice acoustic features, language structure features and cognitive behavior features; s3, inputting the extracted features into a pre-trained language erosion evaluation model, and outputting a language ability score and an erosion type classification result; and S4, generating a visual evaluation report, wherein the visual evaluation report comprises the language ability degradation degree, key obstacle points and intervention suggestions. According to the method, the score and classification result is automatically output through the multi-modal data acquisition and pre-trained deep learning model, so that the evaluation time is greatly shortened, the subjective deviation is eliminated, the result objectivity is ensured, the problems of low manual evaluation efficiency and high subjectivity are solved, and the effect of automatic evaluation is realized.

The application belongs to the field of neuropharmacology and medicine, and particularly relates to application of taurine cholic acid in preparation of a drug for preventing or treating Alzheimer's disease. Through animal model experiment verification, the A beta lateral ventricle injection is used to prepare an AD mouse model, and after oral administration of TCA for 2 weeks, cognitive behavior and pathological indexes are significantly improved.

The invention provides a cognitive behavior intervention system assisted by multi-modal artificial intelligence recognition, which can acquire multi-modal information, realize deep feature fusion and analyze a cognitive behavior association mechanism, and comprises the following modules: a multi-modal data acquisition module for acquiring and preprocessing multi-modal data of a depression patient; the feature fusion module is used for extracting features of the preprocessed multi-modal data for feature fusion to obtain a cognitive state feature vector and a behavior mode feature vector; the cognitive behavior association module is used for constructing a cognitive and behavior association model to generate a cognitive behavior analysis report according to the cognitive state feature vector and the behavior mode feature vector in combination with a preset cognitive deviation type library and a behavior trigger factor library; and the personalized intervention module is used for generating a personalized cognitive behavior intervention strategy through a decision optimization algorithm based on multi-feature weighting according to the cognitive behavior analysis report in combination with a preset user basic information library and a cognitive behavior intervention scheme library.

This invention relates to the field of artificial intelligence technology and discloses a multi-agent social network simulation method and system based on a cognitive reasoning chain. The method includes: initializing a multi-agent system comprising a social environment engine, a user profile engine, and a cognitive reasoning engine; executing a multi-agent social network simulation loop with a preset number of iterations; in each iteration, the social environment engine pushes social information to the agents as external stimuli and activates the agents to make independent decisions; updating the cognitive states of each dimension in the cognitive reasoning chain and generating corresponding social behaviors through reasoning using a large-scale language model; recording the social behaviors and their corresponding cognitive state trajectories; periodically analyzing historical records to optimize the influence coefficients between the cognitive dimensions of the cognitive reasoning chain; and adjusting the reasoning strategy of the preset large-scale language model. This makes the simulation of the agent's cognitive process a transparent and traceable evolutionary process, achieving a complete and understandable simulation of the "observation-cognition-behavior" cycle.

The invention discloses an analysis method for observing cognitive behaviors of fishes, and particularly relates to the field of cognitive behavior analysis. The method comprises the following steps: acquiring behavior trajectory data generated by a plurality of fish individuals, and dividing the behavior trajectory data into a fish single behavior reference data set and a mixed behavior original data set; independent analysis of characteristic modes is carried out on the single-behavior reference data set, a single-behavior characteristic threshold database is constructed, multi-dimensional time sequence decoupling is carried out on the mixed-behavior original data set, and mixed-behavior cross interference characteristic data is extracted; performing nonlinear difference analysis on the cross interference characteristic data, and constructing a fish heterogeneous behavior characteristic separation model; performing feature correction on the mixed behavior data set according to a heterogeneous behavior feature separation model, outputting a corrected feature data set of the fish cognitive behavior, and establishing a fish cognitive behavior analysis model to realize behavior pattern recognition and evaluation of the fish under a specific environment or stimulation condition; and the capability of distinguishing multiple behavior modes of the fish under the interference of a complex environment is improved.

The invention provides a live broadcast goods carrying scene optimization method and system combined with digital multimedia, and relates to the technical field of digital multimedia, and the method comprises the steps: firstly obtaining the cognitive association data of a live broadcast goods carrying scene, including the commodity cognitive multimedia content, the user cognitive behavior record and the commodity information set; then, based on the cognitive association data, establishing a corresponding relationship between the user cognitive behavior record and the commodity cognitive multimedia content, and generating a cognitive rhythm adaptation sequence; user cognitive behavior records and cognitive stage entries are matched in real time in live broadcast, and the commodity cognitive multimedia content is adjusted according to the adjustment rule parameter set; and collecting user subsequent behavior data during the adaptation period, adjusting the cognitive rhythm adaptation sequence after correlation analysis, generating a digital multimedia cognitive adaptation strategy, and applying the digital multimedia cognitive adaptation strategy to subsequent live broadcast. The live broadcast goods carrying effect and the user experience can be improved.

The invention discloses a traffic law enforcement virtual simulation training method based on a dynamic scene and cognitive evaluation, and the method comprises the steps: generating an initialization parameter according to a trainee portrait and a training target, and driving an emergence type scene generation engine to synthesize a dynamic three-dimensional virtual training scene containing composite illegal elements; in scene operation, multi-modal interaction behaviors and physiological response data of the trainees are synchronously collected to form a data stream; through real-time analysis of the data flow, a cognitive behavior analysis report for evaluating attention, cognitive load and decision intention is generated; constructing a space-time knowledge graph based on the student operation sequence, performing automatic reasoning and contradiction detection in combination with formalized legal rules, and outputting an evidence chain logic verification result; and fusing the report and the result to carry out multi-dimensional weighted evaluation, and generating a comprehensive score and personalized feedback. According to the method, normal form transformation from preset process training to open cognitive evaluation is realized, and the authenticity, pertinence and evaluation depth of training are improved.

A method for providing a cognitive behavioral therapy program based on a large language model according to the present invention may comprise the steps of: providing, to a user terminal, at least one questionnaire related to a cognitive behavioral therapy; and by using response data to the questionnaire received from the user terminal, generating a prompt to be input to a large language model.

The invention belongs to the technical field of exercise psychology and cognitive behavior intervention, and particularly discloses a shadowboxing cognitive intervention method and system based on exercise psychology. The method comprises the steps that historical cognition and emotion data of an intervention object are collected, multi-dimensional state evaluation and grouping are carried out in combination with action execution performance, and then a personalized shadowboxing training scheme and a psychological intervention strategy are formulated. The system dynamically adjusts an intervention path through multi-source data acquisition, action recognition, emotion perception and an intervention effect feedback mechanism, and realizes continuous optimization of a cognitive state. The method and the system can be widely applied to psychological rehabilitation, educational intervention and emotion regulation scenes, and have the characteristics of high intelligent degree, high intervention precision and good adaptability.

The invention discloses a multi-mode mental health intelligent assessment and intervention system for old people. The system comprises a cognitive behavior intervention module, a respiratory training intervention module, a memory intervention module and a group art intervention module. The multi-modal signal acquisition module is used for acquiring multi-modal data of voice, video, physiology and semantics when a user selects the corresponding intervention module to perform intervention; and the unified fusion and evaluation module is used for performing time sequence alignment, feature extraction, feature normalization and feature fusion processing on the collected voice, video, physiological and semantic data, inputting a pre-trained classification model and outputting a mental health comprehensive report and personalized intervention suggestions of the day. According to the multi-mode mental health intelligent assessment and intervention system for the old people, psychological assessment, intervention adjustment and closed loop of feedback reports after adjustment can be achieved, and the authenticity and accuracy of assessment and intervention are improved.

The application belongs to the field of advertisement delivery, and provides an advertisement delivery method and system based on multi-source data analysis, which comprises collecting multi-source original data related to users; identifying multiple cognitive state nodes based on click behavior data and transaction path data; constructing a cognitive behavior causal graph based on the multiple cognitive state nodes, wherein the nodes of the causal graph represent user cognitive states; combining historical behavior samples and path structures in the causal graph, using a Bayesian inference model to predict advertisement response probability and conversion probability of target users, and estimating state transition probability of users from a current state node to a target state node based on different advertisement intervention contents; determining an optimal advertisement intervention path of users from a current cognitive state to an expected conversion state based on the state transition probability and the causal graph structure, and constructing a corresponding advertisement delivery sequence based on the path.

This application provides an emotion regulation system and device with an adaptive withdrawal mechanism. The system includes: a sensor module for collecting physiological and motor data; a state confirmation module for determining emotional dysregulation based on a stress characteristic model; and an interaction module for initiating a hierarchical cognitive-behavioral guidance process upon determining emotional dysregulation, including at least: a basic intervention stage, which sequentially generates sensory anchoring, value clarification, and behavioral activation guidance instructions, with each subsequent instruction conditionally dependent on the execution feedback of the preceding instruction; and a deep review stage, activated after the basic intervention stage, which outputs structured review guidance for the emotional dysregulation event and generates cognitive reconstruction instructions based on user responses to update cognitive representations. The adaptive withdrawal module generates a self-regulation success rate based on continuous interaction results, dynamically reducing the sensitivity of the state confirmation module accordingly to guide the user to gradually develop independent emotional self-regulation capabilities, ultimately freeing them from dependence on the device.

The application discloses a kind of multilevel geometric entity cognitive behavior modeling method, device and medium, belong to computer-aided path field.The method includes: in the part modeling stage, interactive feature pair (IFP) is associated, and the belief-desire-intention cognitive behavior model of multilevel geometric entity is established based on interactive feature pair;Wherein, multilevel geometric entity includes basic interactive feature pair (B-IFP), composite interactive feature pair (C-IFP) and part;According to the belief-desire-intention cognitive behavior model constructed, the part with cognitive ability realizes assembly path planning process autonomously.The application establishes the method of multilevel geometric entity cognitive behavior model, enhances the cognitive ability of part, reduces the heavy man-machine interactive operation in assembly process, effectively improves the intelligent degree of assembly path planning process.

The application belongs to the technical field of artificial intelligence and natural language processing, and discloses a cognitive behavior modeling method and system based on large language model semantic enhancement, which comprises the following steps: generating a structured semantic diagnosis description for each question; encoding the structured semantic diagnosis description and the student's historical answering behavior into vector representations respectively; mapping the vector representations of the semantic diagnosis description and the answering behavior into the same similarity space through a kernel function alignment mechanism and performing weighted fusion; receiving the fused representations and modeling the interaction between the student and the question, and outputting knowledge state inference and explainability feedback. The application fuses the question semantic information generated by the LLM and the student's answering behavior data to construct a cognitive behavior modeling method with high prediction performance and strong explainability.

An object of the system according to the embodiment is to receive user's complaint and provide an appropriate response and advice.SOLUTION: A system according to an embodiment includes a reception unit, a response generation unit, and an advice provision unit. The complaint receiving unit receives user's complaint. The backchannel generator generates an appropriate backchannel based on the comment received by the comment receiver. The advice providing unit provides advice incorporating a cognitive behavioral therapy technique based on the response generated by the response generation unit.SELECTED DRAWING: Figure 1

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.

A system for evaluating cognitive behavioral therapy messages includes a patient messaging system; a therapist reply system; a database for storing, according to diagnosis, message and reply histories received from the patient messaging system and the therapist reply system for a plurality of patients; a computer in communication with the patient messaging system and the therapist reply system, the computer having access to the database; software executing on the computer for analyzing a message history for a particular patient to determine improvement or regression over time and / or over volume of communications through the patient messaging system and the therapist reply system; and software executing on the computer for ranking therapists by diagnosis and providing samples of higher ranked replies.

The invention relates to the technical field of smart medical treatment, and aims to solve the problems that existing vascular cognitive impairment assessment lacks long-term observation and analysis of real cognitive behaviors in a family scene, and structured acquisition and intelligent identification of behavior data of a patient cannot be performed in combination with an Internet of Things technology; the potential cognitive degeneration signal of the patient in the actual life is difficult to reflect; according to the vascular cognitive impairment assessment system based on the Internet of Things, the Internet of Things equipment with the wireless transmission function is introduced, all-weather collection of cognitive behavior data of a patient in a real family environment is achieved, and the cognitive impairment assessment system based on the Internet of Things has the advantages that the cognitive behavior data of the patient in the real family environment can be acquired; according to the method and the system, data are acquired, multi-dimensional analysis is performed on the data, three cognitive dimensions of memory, execution and language are covered, early warning and hierarchical management of the vascular cognitive impairment are realized, and timeliness and accuracy of an evaluation result are improved.

The invention belongs to the technical field of internet online education, and discloses an online ideological and political course management system based on big data. Comprising the steps of collecting emotional behavior data and cognitive behavior data in a user learning period based on a preset learning period; analyzing to obtain a standardized parameter value; calculating to obtain a cognitive toughness index of the user; generating a datum line, determining upper and lower boundaries, and forming a dynamic safety area of the learning cycle; continuously comparing the cognitive toughness index with the dynamic safety area of the learning cycle, and calculating a cognitive load factor, an emotion blocking factor and a method mismatch factor when the cognitive toughness index is located outside the dynamic safety area; based on the preset main cause judgment rule, the main cause of the user cognitive toughness index outside the dynamic safety area is judged, and the care strategy is distributed according to the main cause, so that coupling evaluation of the emotion behavior and the cognitive behavior of the user on-line ideological and political courses is realized, and an achievement incentive mechanism is configured to improve the learning enthusiasm of the user.

The invention discloses a method for diagnosing and treating AD (Alzheimer's disease) by recognizing olfactory disorder through PET (Polyethylene Terephthalate). The method comprises the following steps: (1) observing olfactory and cognitive behavioral changes of AD mice, and evaluating olfactory and cognitive function conditions of the 3 * Tg mice by carrying out behavioral experiments on the 12-month-old 3 * Tg mice; and (2) quantifying A beta in the intracranial olfactory related area of the AD mouse through PET imaging, performing A beta-PET imaging on a 12-month-old 3xTg mouse, reconstructing a PET image through a PET / CT scanner, performing SUV quantification on the intracranial olfactory related area, and observing the deposition condition of the A beta in the olfactory related area. And (3) observing A beta and tau phosphorylation expression and distribution conditions of AD mice in pathology, observing A beta expression and distribution conditions in brains of 12-month-old 3xTg mice through immunofluorescence, dividing olfaction-related regions by referring to an Allen mouse brain map, observing expression conditions of A beta in the olfaction-related regions, and calculating average fluorescence intensity of each region for semi-quantitative analysis.

This system provides a psychological support system, methods, and programs that collect and analyze self-observation records of those receiving support, and effectively utilize both AI and human interaction to provide optimal support. [Solution] In a cognitive behavioral therapy feedback system, the management server presents response information to self-observation records based on the actions or operations of the person being supported. Based on the self-observation records stored in the observation record storage unit, an analysis unit analyzes correlation characteristics between the person being supported's actions and cognitions. Based on the analysis results by the analysis unit, a response selection unit selects an automated response by AI or a human response. Based on the correlation characteristics analyzed by the analysis unit and the selection results by the response selection unit, a response generation unit generates response information to be provided to the person being supported, and an information distribution unit notifies the person being supported of the response information according to the response selection unit.

This invention provides a mental information input system, method, and program that enables the interpretation of the true feelings and subconscious minds of individuals receiving support, thereby realizing advanced feedback and behavioral therapy in cognitive behavioral therapy, which involves recording self-observation based on the actions or actions of the individuals being supported. [Solution] In a cognitive behavioral therapy feedback system, the management server includes an observation record unit 331 which includes a decision operation acquisition unit that acquires actions or operations by the person being supported as an incomplete operation history and input information determined by the actions or operations by the person being supported as a decision operation history; an observation record database 35d which stores self-observation records including the incomplete operation history and the decision operation history; an analysis unit 332 which analyzes the correlation between the behavioral information and cognitive information of the person being supported based on the self-observation records; and a response generation unit which generates response information to be provided to the person being supported according to the analysis results in the correlation feature analysis unit.

The invention provides a health intervention and auxiliary system for a stroke patient based on a psychological elasticity framework, and belongs to the technical field of medical intelligent assistance, and the system comprises a framework construction module which is used for constructing a four-layer psychological elasticity improvement framework comprising a physiological function support layer, a cognitive rehabilitation training layer, a social participation enhancement layer and a psychological toughness sublimation layer; the task allocation module is used for acquiring physiological function data, cognitive behavior characteristics, social participation degree data and psychological toughness characteristic data and allocating intervention tasks; the thread determination module is used for collecting execution threads of intervention tasks of each layer and determining an overall state space, an execution action space and a layer reward function of each layer; the model enhancement training module is used for performing multi-task enhancement training on the evaluation model based on the contribution degree, the dynamic drift and the activeness; and the driving service module is used for obtaining health intervention and auxiliary service of the stroke patient based on the optimal fusion state evaluation model. The comprehensive rehabilitation of the stroke patient can be effectively promoted.

This invention discloses a method, apparatus, and system for predicting cognitive behavior evolution and modeling path interpretability, belonging to the field of consumer behavior prediction. The method includes the following steps: S1, inputting features of structured behavioral chain data into a neural network for training, and using the neural network to model the temporal evolution of user behavior to predict the dynamic evolution of cognitive states; S2, based on the user's current cognitive state, historical behavioral chains, and predicted evolutionary direction, deducing possible evolutionary paths on the cognitive chain graph, and modeling and predicting potential decision trajectories; S3, based on the future path deduction results, combined with cognitive motivation analysis and goal relevance assessment, generating a set of feasible strategies for user behavior intervention, recommendation optimization, or strategy interpretation. This invention can achieve high-precision prediction and transparent output from the user's current attention map to future behavioral motivations.

According to one feature of the present disclosure, a method by which a device for analyzing cognitive-behavioral play analyzes an interactive digital cognitive-behavioral play by using generative AI is provided. The method comprises the steps of: providing a cognitive-behavioral play service to a user terminal; providing, to the user terminal, a request for an input of a cognitive-behavioral play result, and receiving the cognitive-behavioral play result so as to provide feedback on the cognitive-behavioral play result; providing, to the user terminal, a request for an input of cognitive-behavioral play observation data, and receiving the cognitive-behavioral play observation data; providing a conversation time regarding the cognitive-behavioral play to a plurality of users who participated in the cognitive-behavioral play, and receiving a response to the conversation time; analyzing the response to the conversation time by using an AI voice recognition function, so as to determine whether there is a predetermined vocabulary in the response to the conversation time; and, if there is the predetermined vocabulary, generating at least one picture with generative AI by using the predetermined vocabulary as a keyword and providing the at least one picture to the user terminal, and receiving a selection of one of the at least one picture.

To enable the assessment of the effectiveness of cognitive behavioral therapy using a simple method. [Solution] The information processing device 1 comprises an acquisition unit 131 that acquires electroencephalogram (EEG) information showing the patient's brain waves, a calculation unit 132 that calculates the complexity in the low-frequency band of the EEG information, and an output unit 134 that outputs information indicating that cognitive behavioral therapy is effective when the complexity in the low-frequency band calculated by the calculation unit is above a predetermined first threshold.

This invention discloses a smart classroom control method and system based on multimodal cognitive state assessment, relating to the field of teaching technology. The key technical points include the following steps: collecting multi-dimensional perception data of the smart classroom; wherein the multi-dimensional perception data includes student cognitive behavior data and teaching process state data; performing feature analysis on student cognitive behavior data to obtain cognitive features; continuously tracking and analyzing student cognitive feedback data to obtain individual cognitive fit and group cognitive synergy; verifying the cognitive synergy recovery state of the smart classroom based on individual cognitive fit and group cognitive synergy; and judging the cognitive synergy recovery state to determine whether classroom control is needed. The effect is to improve the utilization efficiency of teaching resources and reduce the consumption of ineffective teaching.

The invention provides a large model interaction system based on psychological question and answer art and a program product, and relates to the technical field of large model interaction.The system constructs a collaborative architecture of a user dialogue interface, a psychological question and answer engine, a cue word module and a conference state judgment module; according to the system, the treatment process of a cognitive behavior therapy is structured into an executable multi-stage intervention process, a psychological question and answer artistic strategy and real-time dialogue data are dynamically fused through a cue word module, and it is ensured that dialogue generation of each stage conforms to professional treatment logic and has co-estrus expression; and meanwhile, the conference state judgment module automatically judges a stage completion condition according to a quantitative standard and triggers process switching, so that the whole consultation process has target guidance. Therefore, the psychological guidance service is provided by innovatively combining the cognitive behavior therapy and the psychological question and answer artistic strategy, and the continuity, the credibility and the intervention effectiveness of the man-machine psychological dialogue are improved.