45results about How to "Personalize" patented technology

The invention discloses a respiratory disease oxygen precise conveying system based on a sensor, and relates to the technical field of medical equipment, and the system comprises a sensing module which integrates multiple sensors to collect and process airway and physiological data of a patient; the disease matching module identifies disease types through database comparison; the dynamic adaptation module calculates exclusive oxygen concentration based on a multi-mode fusion initial algorithm; the conveying module executes adjustment; the closed-loop feedback module continuously fine-tunes the oxygen concentration through a closed-loop stepped fine-tuning algorithm to form a closed-loop link, so that accurate dynamic control of oxygen delivery is realized; according to the invention, multi-sensor collaborative acquisition and disease precise matching are combined with a dynamic algorithm and closed-loop feedback, so that individuation and dynamic oxygen delivery are realized, the system avoids misjudgment by relying on a standardized database, and the oxygen concentration, flow and pressure are ensured to be adjusted in real time along with physiological indexes of a patient through multi-parameter collaborative adjustment and stepped fine adjustment; the treatment comfort, the effectiveness and the long-term adaptability are improved.

The invention discloses a dynamic sterilization method based on cough audio detection and analysis, which comprises the following steps: acquiring hospital audio, dividing the hospital audio into audio segments, identifying audio frames containing cough audio, and merging the audio frames containing the cough audio to obtain cough audio segments; overlapping coughs are separated, and samples of all the single-sound coughs are obtained and correspond to the individuals to which the single-sound coughs belong; judging whether the individual coughs accidentally or not on the basis of the quantity and the time interval of the single-sound coughs, and further judging whether a hospital environment sterilization early warning program needs to be started or not; and for each environment index of the hospital, presetting a corresponding disinfection trigger threshold, and if it is judged that the hospital environment disinfection early warning program needs to be started and the hospital environment index reaches the corresponding disinfection trigger threshold, starting a corresponding disinfection program to complete disinfection of the hospital environment. According to the invention, 'on-demand disinfection 'can be realized accurately and dynamically in real time, and interference to normal medical activities is reduced to the greatest extent while the transmission path of aerosol in a hospital is blocked.

This invention relates to an intelligent decision support system for rectal cancer prognosis integrating digital pathological images, belonging to the field of medical image processing technology. The system includes a data acquisition module for collecting multiple sets of sample data; a feature selection module for identifying multiple key medical imaging features of rectal cancer based on the multiple sets of sample data; a model building module for acquiring a pre-trained deep learning model and constructing a rectal cancer prognosis prediction model based on transfer learning, the pre-trained deep learning model, the multiple sets of sample data, and the multiple key medical imaging features of rectal cancer; an image acquisition module for acquiring pre- and post-operative medical images of the rectal cancer patient to be evaluated; and a recurrence prediction module for predicting the recurrence probability of the rectal cancer patient to be evaluated based on the pre- and post-operative medical images of the patient using the rectal cancer prognosis prediction model. This system has the advantage of improving the accuracy of non-invasive prediction of postoperative recurrence of rectal cancer.

The invention provides a pet self-adaptive feeding recommendation method and system based on AI image analysis, and the method comprises the steps: firstly monitoring food images of a feeding disc of feeding equipment at the moment of food discharge stopping and pet feeding leaving, obtaining a food state image set of the feeding disc, carrying out the AI image analysis of the food state image set of the feeding disc, and obtaining a food state image set of the feeding disc; feeding time and food intake information are extracted, a pet food intake data set is formed, the pet food intake data set is input into a pre-trained feeding demand prediction model, and the next hunger time and food intake prediction result of the pet is obtained through fitting analysis. Self-adaptive feeding recommendation information containing recommended feeding time and recommended feeding amount is generated according to the next hunger time and food intake prediction result of the pet, and finally the self-adaptive feeding recommendation information is pushed to an associated mobile terminal for a user to check and decide whether to execute feeding operation or not. Personalized, intelligent and precise management of pet feeding is realized.

The application relates to the technical field of large models, and provides a prompt vector generation method, device, equipment and medium, which extracts and embeds the multi-modal information of a target user, generates a personalized query vector carrying the personalized features of the target user, and fuses relevant information of the personalized query vector and a pre-constructed industry knowledge prompt library to generate a target prompt vector of the target user. The target prompt vector is determined in combination with the personalized features of the target user and global user common features, and the personalized and customized processing of the prompt vector is realized. The application can be applied to a financial scene, and when a downstream task such as insurance recommendation generates a personalized execution result for a user according to the target prompt vector, the personalized features of the target user and the global user common features can be simultaneously referred to, the target user's personalization is considered, and the rules or trends gradually presented in the insurance business scene are not deviated from, so that the execution effect of the downstream task is improved.

The application discloses a kind of customized training plan generation methods for operation and maintenance personnel based on performance prism, which comprises the following steps: collecting multi-source heterogeneous demand data of operation and maintenance personnel on multiple platforms, and combining Carnot model and importance performance analysis model for fusion processing, extracting key technology theme through cluster analysis, drawing core training intention and decomposing into key measurement indicators, collecting employee daily operation and maintenance behavior data and calculating ability membership degree vector, combining post demand information, calculating target ability information to be enhanced, generating training content using intelligent workflow engine according to target ability information and key measurement indicators, generating hybrid training plan combining online and offline according to employee historical schedule, issuing the plan to terminal and setting task reminders, which can ensure that training is executed on time, improve training coverage and completion rate, and realize the intelligentization, customization and high efficiency of operation and maintenance personnel training from demand analysis, capability assessment, content generation to plan execution.

The application provides a new energy mine truck thrust rod fatigue life prediction method, belonging to the field of federated learning and application technology. First, a multi-mine area multi-source fatigue feature dataset is constructed. Then, a double-layer neural network structure based on Bayesian modeling is designed, including a sparse prior generation module, a thrust rod time series feature encoding module and a thrust rod residual life Bayesian prediction module, to realize model parameter sparsification, time series feature expression and uncertainty quantification. Further, a graph structure based federated training and information aggregation mechanism is adopted, combined with global aggregation and local graph modeling strategy, to realize knowledge sharing and personalized adaptation between different mine areas. Finally, an online fine-tuning mechanism based on uncertainty driving is proposed, realizing rapid adaptive optimization of the global model in the new mine area environment through Bayesian inference. The method can significantly improve the accuracy, robustness and cross-domain generalization ability of thrust rod life prediction while ensuring data privacy.

The invention relates to the technical field of Internet of Vehicles, and discloses a resource allocation method, a resource request method and a storage medium, and the resource allocation method comprises the steps: obtaining a target instance type requested by a target vehicle-mounted terminal; selecting a basic resource instance matched with the target instance type from the resource pool as a target resource instance, and allocating the target resource instance to the target vehicle-mounted terminal, so that the target vehicle-mounted terminal applies the target resource instance; the resource pool comprises basic resource instances of at least two instance types. According to the application, the basic resource instance of the corresponding type matched according to the request of the target vehicle-mounted terminal can be allocated to the target vehicle-mounted terminal, so that allocation according to needs is realized, and the overall utilization rate of resources is improved.

The application discloses a kind of automated filling and checking method, system, product and medium of insurance information, and it is related to artificial intelligence field.The method comprises the following steps: in response to batch insurance instruction, the insured identity information is received and managed, and the independent data object is constructed to form the insured information set;Age is calculated by traversing the set and analyzing birth date;Age is used as a matching factor, matched with an insurance product rule base, to determine the applicable product plan range and premium calculation factor;Generate and bind a differentiated rule set for each data object;Based on context and differentiated rule set, generate an aggregated interactive interface;Receive input information in the exclusive problem area, and check according to the differentiated rule set;All input information that passes the check is summarized to generate an aggregated insurance order.Implementation of the technical solution provided in the application improves the efficiency of automated processing in the batch insurance scenario.

The invention discloses a control method and device of transcranial electrical stimulation equipment, electronic equipment and a storage medium, the control method of the transcranial electrical stimulation equipment can be applied to the technical field of brain-computer interfaces, the transcranial electrical stimulation equipment comprises a plurality of electrodes, and each electrode is used for being in contact with a target stimulation object. Carrying out transcranial electrical stimulation and electroencephalogram signal acquisition on the target stimulation object; the method comprises the following steps: in a transcranial electrical stimulation process, acquiring electroencephalogram signals acquired by a plurality of electrodes; based on the electroencephalogram signals collected by the multiple electrodes, the contribution degree of each electrode to transcranial electrical stimulation is adjusted; for each electrode, updating a target electrical stimulation parameter corresponding to the electrode based on the initial electrical stimulation parameter corresponding to the electrode and the adjusted contribution degree corresponding to the electrode; and controlling the electrode to perform transcranial electrical stimulation based on the updated target electrical stimulation parameter corresponding to the electrode. According to the transcranial electrical stimulation system and method, individuation and accurate control of each electrode are achieved, and the effect and safety of transcranial electrical stimulation are improved.

The present application relates to the field of intelligent medical auxiliary decision-making technology, and discloses a ladder treatment scheme recommendation method based on asthma control level and drug response phenotype. The present application aims to solve the problem that the existing scheme cannot identify the deep reason of uncontrolled condition, leading to blind step-up treatment. The present application excludes non-compliance interference by checking the drug execution rate, and improves the authenticity of condition assessment. The present application uses environmental exposure characteristics to adaptively correct the exhaled nitric oxide determination threshold, and eliminates the deviation of smoking on inflammation recognition. The present application combines the logic tree voting of multi-dimensional biological indicators to lock the drug response phenotype. Finally, based on the double index of condition state and phenotype, the present application locates the upgrade or transformation treatment path and generates a recommended scheme. The present application realizes the precise typing and differentiated drug administration of asthma treatment, effectively reduces the drug exposure risk of hormone-insensitive patients while ensuring the clinical efficacy.

The invention discloses an intelligent terminal and system for evaluating the consciousness state of an unconscious patient based on neurology department monitoring, and belongs to the technical field of medical treatment. According to the method, feature sampling is carried out on the collected neurology department monitoring real-time data of the coma patient, the preset evaluation index of the patient is obtained and analyzed, the key consciousness state risk evaluation parameter is marked as the patient consciousness state basic score of the current monitoring period, and the comprehensive evaluation result of the consciousness state of the coma patient is obtained. An evaluation model is constructed by combining monitoring data collection with key feature extraction, a convolutional neural network of a multi-feature extraction layer and a recurrent neural network of time sequence learning, weights are dynamically corrected by combining individual factors, intelligence and individuation of consciousness state evaluation are achieved, feature vectors of four types of indexes are optimized through the multi-feature extraction layer, and the evaluation accuracy of the consciousness state evaluation is improved. Dynamic correction is carried out by combining the age of the patient, the cause of coma and the monitoring period, so that the evaluation result can reflect the overall consciousness state and highlight the key risk point of the individual.

The application provides a kind of multi-modal interaction data processing method and system of children's picture book reading, it is related to data processing technical field, the method includes: to multi-modal original interaction data set is processed in parallel, extracts and outputs visual semantic feature, interactive speech semantic feature and interactive behavior semantic feature;In visual semantic feature and interactive speech semantic feature, dynamically determine at least three key semantic anchor points, i.e., visual key semantic anchor point corresponds to the core role space coordinate of current picture book page and key text area center point, interactive speech key semantic anchor point corresponds to the core emotion frame timestamp in speech spectrum and question word position;Based on the key semantic anchor point, construct dynamic semantic geometric relationship graph in cross-modal joint feature space.The application can realize the accurate adaptive fusion of cross-modal feature, effectively improve the accuracy of children's picture book reading interaction data processing and the adaptability of interactive response.

The invention relates to the technical field of filter elements, in particular to a mining filter element protective cover integrated with an NFC chip and a using method thereof.The mining filter element protective cover comprises a mask body and a filter element, and the filter element comprises a filter material layer and a supporting frame arranged on the periphery of the filter material layer; an electronic identification chip is arranged in a non-core filtering area on the edge of the filter material layer, and a microporous breathable film for packaging the electronic identification chip is arranged on the surface of the side, attached to the mouth and the nose, of the filter material layer; a visual identification code associated with the information of the electronic identification chip is arranged on the surface of the microporous breathable film; the visual identification code and the electronic identification chip jointly form a unique identity label of the filter element; through double identification of the electronic identification chip and the visual identification code, the anti-counterfeiting property and the tamper-proof property of the identity of the filter element are improved; the air permeability and filtering performance of the filter element are not influenced after the chip is integrated; by binding the filter element with the identity of the miner, individualized and traceable analysis of dust exposure data is realized, and real and continuous data is provided for occupational health management of the miner.

The application discloses a kind of personalized intelligent recipe recommendation system based on user health information, comprising: user information management module, for obtaining and managing the health information of user;Energy calculation module, for calculating ideal body weight, body type classification, basal energy requirement, blood sugar adjusted energy requirement and meal nutrient target according to user information;Food database, for storing the nutrient composition and type attribute of food;Recipe generation module, for selecting food combination from food database according to meal type and nutrient target, and generating personalized recipe using multi-nutrient synergistic optimization intelligent algorithm.The present application is based on the principle of nutrition, on the basis of personalized health management, increase the precise energy calculation function based on ideal body weight and body type classification, realize precision and individualization in energy calculation, nutrient optimization, food selection and other multiple links.

The embodiment of the invention provides a vehicle control method, a vehicle and a computer readable storage medium, and the method comprises the steps: obtaining state perception data of the vehicle, the state perception data comprising physiological signal data and operation behavior data of a vital sign object in the vehicle; performing feature extraction on the state sensing data to obtain multi-modal feature data; state identification is carried out based on the multi-mode characteristic data, a state prediction result is obtained, the state prediction result is used for determining an auxiliary control mode corresponding to the vehicle, and the auxiliary control mode is used for adjusting driving auxiliary function parameters and cabin environment response of the vehicle; and controlling the vehicle by using the state prediction result. According to the invention, the technical problems of single monitoring means, insufficient sensing accuracy and delayed safety response in the prior art are solved.

This disclosure provides a function processing method, apparatus, device, storage medium, and program product, relating to the field of computer technology. The method includes: in response to a trigger operation, acquiring the current time; determining a target trigger function to be executed based on the current time, wherein the target trigger function is one or more trigger functions associated with the current time; and executing the target trigger function. This method allows users to command a terminal to execute time-configured trigger functions through simple trigger operations, greatly simplifying the operation process. This method can also flexibly respond to diverse function execution needs; different times can be associated with different trigger functions, allowing the same trigger operation to achieve different functions at different times, realizing personalized and time-sharing function execution, and improving user convenience and satisfaction with function execution.

The invention discloses a closed-loop binaural vagus nerve stimulation system integration and a closed-loop binaural vagus nerve stimulation method for neural rehabilitation. The system integration comprises a host, a binaural stimulation module, a rehabilitation training execution module and a myoelectricity acquisition module. The rehabilitation training execution module integrates a myoelectricity synchronous hemiplegic upper limb rehabilitation system (including a visual assistance and mirror image training subsystem), a dysphagia synchronous training system and a breathing pairing synchronous training awakening system. When the system works, a corresponding mode is started according to an evaluation result of a patient to guide the patient to execute a target training action through a healthy-side target muscle group; a myoelectricity acquisition module synchronously acquires a myoelectricity signal generated by the action; the host processes the signals, generates or adjusts electrical stimulation parameters of the vagus nerves of the two ears in real time according to the signals, and applies electrical stimulation in a target time window of action execution, thereby forming closed-loop nerve regulation and control with healthy-side myoelectricity as real-time feedback. According to the invention, accurate and personalized synchronization of multi-mode rehabilitation training and central nervous regulation and control is realized.

The invention relates to the technical field of retail inspection, and particularly discloses a retail store inspection method and system based on a configurable questionnaire, and the method comprises the steps: collecting the multi-dimensional state data of a target store in real time, and enabling the multi-dimensional state data to comprise static attribute data, dynamic business data flow and environment context data; performing standardization processing on the multi-dimensional state data to generate a target store state vector; based on a pre-trained optimal strategy curved surface model, the target store state vector is mapped to an inspection strategy vector space, a recommended inspection strategy vector is obtained through calculation, and the optimal strategy curved surface model represents a nonlinear mapping relation between the store state vector space and the inspection strategy vector space; according to the recommended inspection strategy vector, dynamically assembling and generating an inspection questionnaire from the modular questionnaire component library, and generating a corresponding inspection task execution scheme; and dynamic strategy optimization based on state perception for retail store inspection is realized.

The utility model discloses a pelvic floor muscle exercising device for stress urinary incontinence, relates to the technical field of exercising equipment, and solves the problems that some existing pelvic floor muscle exercising auxiliary instruments in the market are limited in function, so that a user often needs to purchase various instruments, the cost is high, the occupied space is large, and the exercising complexity is increased. A pelvic floor muscle exercising device for stress urinary incontinence comprises a fixed seat; the fixing base is of a rectangular plate structure. A supporting rod is fixedly arranged at the top of the rear side of the fixed seat; the supporting rod is of a cylindrical structure. The two sides of the supporting rod are each fixedly provided with a set of fixing plates of a T-plate structure. Two second sliding rods of L-shaped rod structures are arranged in the circular through groove in the front side of the fixing plate in a sliding mode. Connecting plates of arc-shaped plate structures are fixedly arranged at the inner side ends of the two second sliding rods. The sitting posture exercise mode and the standing posture exercise mode are integrated, a user does not need to purchase instruments with different functions, and cost and space are greatly saved.

The invention discloses a peritoneal dialysis personalized prescription recommendation method and system based on a knowledge graph, and the method comprises the steps: constructing a peritoneal dialysis knowledge graph, and obtaining the multi-source clinical data of a target patient; performing normalization processing on the structured data, and associating the normalized structured data with a corresponding medical entity in the peritoneal dialysis knowledge graph; performing entity and attribute extraction on the unstructured text data to obtain text entities and text attributes, and matching the text entities and the text attributes with corresponding medical entities in a peritoneal dialysis knowledge graph; executing graph traversal or rule reasoning based on associated and matched medical entities and corresponding entity relationships in the peritoneal dialysis knowledge graph, and calculating a prescription element candidate set compatible with the clinical state of the target patient; and generating personalized prescription recommendation of the target patient according to the prescription element candidate set. According to the method, personalized and standardized balanced recommendation can be realized, and the accuracy and credibility of a peritoneal dialysis prescription are improved.

This invention relates to the field of intelligent cockpit and vehicle thermal management technology, specifically to a multi-sensor fusion in-vehicle adaptive temperature control method and system. The method includes: synchronously acquiring multi-source heterogeneous signals within the vehicle; preprocessing them through filtering and format standardization; using Kalman filtering to perform time synchronization and state estimation, generating a fused feature vector; identifying the current operating condition label, calculating the predicted average voting value, and outputting the target predicted average voting value; calculating the basic control quantity through a feedback controller and the disturbance compensation control quantity through a feedforward controller, and adding them to obtain the total control quantity; decomposing the total control quantity into compressor speed commands, fan airflow commands, damper position commands, and expansion valve opening commands, driving actuator actions, and outputting the temperature control execution result. This invention solves the problems of air conditioning control lag, large temperature fluctuations, and unintelligent mode switching, achieving high-precision temperature control and seamless adaptive adjustment, significantly improving driving and passenger thermal comfort.

The invention discloses a human resource management method and system based on big data, and the method comprises the steps: obtaining and analyzing the historical multi-dimensional information data of an employee, and determining an influence factor related to the employee demission; extracting data features of the influence factors, and constructing a demission risk prediction model based on the data features and a preset model for prediction to obtain a demission risk prediction value; analyzing and evaluating the historical multi-dimensional information data of the employees based on preset value indexes to obtain comprehensive evaluation values of the preset value indexes, and performing comprehensive analysis and calculation on the overall values of the employees based on the comprehensive evaluation values to obtain value coefficient values of the employees; and classifying the employees based on the two values to obtain a plurality of employee types, and setting corresponding management strategies for the employee types for management. According to the invention, by combining the remission risk prediction value with the value coefficient, the employees are accurately classified, visualization and refinement of employee inventory are realized, personalized management strategies are provided for different employees, and the management efficiency of the whole talent team is improved.

This invention provides an interactive sports training assessment method and system, belonging to the field of sports training assessment technology. The method involves: distributing an assessment item set in a virtual training assessment scenario; sorting the items according to the trainee's exercise habits and psychological state for each assessment item; sequentially displaying the items and capturing training behavior posture sets; globally comparing these with a standard posture set to construct joint point abnormal posture vectors; and combining joint point behavior trajectories with standard trajectories to construct point abnormal vectors; combining and analyzing these results to obtain single-item assessment results; and finally, processing all results and sending them to the assessment terminal. This invention achieves standardized quantification of assessments, improves the objectivity and accuracy of assessments, and provides a scientific reference for sports training.

The invention discloses a comprehensive treatment method and system for improving the germination rate of epimedium seeds. The method comprises the following steps: S1, intelligently judging the harvesting time; s2, standardized after-ripening treatment: putting the harvested seeds with fruits in a ventilated environment with the temperature of 20-22 DEG C and the humidity of 50%-60% for in-vitro after-ripening, and turning every day until the fruit state reaches a preset after-ripening end point; s3, dynamic controlled atmosphere storage: mixing the seeds subjected to after-ripening treatment with sterilized river sand, storing in a controlled atmosphere environment with the temperature of 6-10 DEG C and the CO2 concentration of 5%, regularly ventilating, and adding a vitamin E preservative into the mixed matrix; s4, breaking dormancy and accelerating germination; and S5, process monitoring and parameter optimization. According to the method, a double-channel intelligent judgment model of image form recognition and physiological index (soluble sugar) detection is constructed, the limitation of purely depending on appearance experience is overcome, form maturity and physiological maturity indexes are combined, the optimal initial quality of the harvested seeds is ensured, and a foundation is laid for the high germination rate from the source.

This invention relates to the fields of high-altitude medicine and environmental ergonomics, specifically to a high-altitude arched pillow-type locally oxygen-enriched sleep chamber. It includes a smart pillow unit, which comprises a pillow body. The pillow body integrates a gas diffuser and a sensing unit for monitoring the user's physiological and postural signals. The gas diffuser's supply end is connected to an environmental control unit, which generates and adjusts the composition and physical parameters of the oxygen-enriched gas. Both the sensing unit and the environmental control unit are signal-connected to a control unit. The control unit can adaptively control the operation of the environmental control unit based on the monitoring signals from the sensing unit. A chamber cover unit is connected to the side of the pillow body. The chamber cover unit and the pillow body together form a locally oxygen-enriched microenvironment space covering the user's head. The oxygen-enriched airflow released by the gas diffuser can directly enter this locally oxygen-enriched microenvironment space.

The invention discloses a vehicle control method, a controller, a storage medium, a product and a vehicle, and belongs to the technical field of vehicle control. The vehicle control method comprises the steps that the target braking strength of the vehicle is determined based on the road adhesion coefficient of a vehicle driving road and a selected target pitching control gear; and target braking force distribution information of front and rear wheels of the vehicle is determined based on the target braking strength, braking control is conducted on the front and rear wheels of the vehicle based on the target braking force distribution information, and the driving and riding comfort during vehicle braking is improved.

The application discloses a kind of dynamic follow-up strategy generation methods for post-diagnosis management, it is related to medical information processing technical field.Processing method includes: obtaining the original data of patient in current time step, using pre-training language model coding generation first patient state vector and preset candidate action set, the dynamic strategy score of combining reinforcement learning action value and clinical guideline compliance score, the candidate action with maximum dynamic strategy score is regarded as optimal follow-up action;The weight of dynamic strategy score is adjusted by a dynamic balance factor based on patient state uncertainty, realizes the individualization, dynamic self-adapting optimization of follow-up strategy, through clinical guideline constraint and uncertainty perception mechanism, ensure the clinical compliance and safety of decision-making process, improve post-diagnosis management efficiency and patient health outcome.

The invention discloses a power-on control method of a vehicle, the vehicle and a computer readable storage medium. The method comprises the steps of obtaining vehicle data of a vehicle, environment data of an environment where the vehicle is located and preference interaction data of a target object associated with the vehicle; based on the vehicle data, the environment data and the preference interaction data, determining whether the vehicle meets at least one power-on trigger condition in a plurality of power-on trigger conditions; if the vehicle meets the at least one power-on trigger condition, determining a target power-on trigger condition based on the at least one power-on trigger condition, and analyzing the target power-on trigger condition to obtain a power-on trigger control flow to which the power-on trigger condition belongs; and controlling the vehicle to perform power-on operation based on the power-on trigger control flow. The technical problem that in the prior art, the power-on control effect of the vehicle is poor is solved.

This invention discloses an adjustable fundus fixation training visual tracking system suitable for different patients, belonging to the field of medical device technology. The system includes: a patient parameter acquisition module, an adaptive control center, a multimodal stimulus presentation module, an eye-tracking and quantitative assessment module, and an immersive interactive feedback module. This invention aims to solve the problems of fixed training parameters, lack of personalized adaptation, and inability to provide real-time quantitative feedback. By acquiring the patient's interpupillary distance, visual acuity, and tolerance parameters and mapping them to personalized training control parameters, it dynamically generates and adjusts visual stimuli. Simultaneously, it tracks and quantifies eye-tracking performance in real time, transforming the quantification results into multisensory interactive feedback. This achieves adaptive matching between training difficulty and patient ability, improving the personalization, accuracy, and patient compliance of the training.