15 results about "Subjective feeling" patented technology

The invention discloses a traditional Chinese medicine physiotherapy effect feedback system and method, and the method comprises the steps: obtaining the physiological, pulse, tongue and subjective feeling information of a patient through a multi-modal data collection and preprocessing module, and mapping the information into a high-dimensional and quantized traditional Chinese medicine feature vector through a multi-layer attention mechanism conversion network; a'physical therapy-syndrome-effect 'dynamic quantitative correlation model is constructed, a reinforcement learning and causal inference mechanism is built in the model, the causal influence of physical therapy intervention on traditional Chinese medicine syndromes can be quantified, dynamic evolution of the syndromes can be predicted, the syndromes can be converted into clinical effects, and therefore traditional Chinese medicine mechanism feedback which can be deeply explained is provided. On the basis, the system evaluates the comprehensive curative effect in real time through an original traditional Chinese medicine physical therapy dynamic curative effect index generation module, and provides highly personalized physical therapy scheme optimization suggestions based on a traditional Chinese medicine mechanism through an intelligent feedback and intervention recommendation module in combination with a traditional Chinese medicine knowledge graph and an individual effect file. And deep intelligent evaluation and real-time optimization of the traditional Chinese medicine physiotherapy effect are realized.

The invention relates to the technical field of vehicle sound quality, in particular to a hidden outer handle sound quality optimization method and device, and the method comprises the steps: collecting the noise of a hidden outer handle of a vehicle in the opening and closing process, so as to analyze a plurality of psychological acoustic parameters in the opening and closing process; obtaining a noise subjective score of the hidden outer handle; and analyzing relevancy between the psychoacoustic parameters and the noise subjective score to determine at least one objective evaluation item of the hidden outer handle and a corresponding objective parameter index so as to optimize the hidden outer handle until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item. Therefore, the problems that in the prior art, the noise of the vehicle and the outer handle of the vehicle door is optimized by independently depending on the sound pressure level for reducing the noise, it is difficult to effectively connect with the actual subjective feeling of a user on the noise, targeted optimization cannot be conducted, and the use requirements of a driver and passengers and the optimization requirements in an actual scene cannot be met are solved.

The application relates to an eye movement tracking method and an eye movement tracking device. The method builds an eye movement tracking system of a human eye, collects a fixation point of the human eye in real time, and calculates a trajectory graph and a hotspot graph of the fixation point of the human eye when observing an object. According to the result, the key points of attention and the key parts of interest of the human eye when browsing the external object are evaluated. The application can be used not only for improving and adjusting the product design style, but also for adapting to the subjective feelings of the public and attracting the eyeballs of the audience. Meanwhile, the application can also be used for evaluating the emotions and fatigue states of the human eye and clinically treating emotional disorders in the field of nerves.

The application relates to the field of artificial intelligence and natural language processing technology, and discloses an AI follow-up robot intelligent interaction method and system, wherein the method comprises the following steps: extracting a structured entity; constructing a semantic context vector based on the structured entity; performing emotion source classification according to the emotion polarity; outputting an individualized response expected time; judging whether the response is overdue and triggering a compensation reminder strategy. Compared with the follow-up interaction response mode in the prior art which depends on a rule template or a keyword trigger, especially in the unstructured scene where a patient expresses the drug experience, subjective feeling or non-timely response in free language, the technical problem that accurate recognition, emotion understanding and individualized compensation are difficult to realize is solved, and since the application introduces a structured label extraction mechanism, fuses an emotion discrimination method, and combines a response prediction model of historical behavior and emotion state, sensitive information recognition in doctor-patient interaction is realized, and the understanding ability and follow-up interaction efficiency of the AI follow-up robot are improved.

The invention discloses an old people thermal comfort prediction method and system. Four groups of subjective feeling models for predicting TSV (thermal sensation) and ASV (wind sensation) of the old people with different weakness levels are respectively constructed on the basis of multi-dimensional parameters of the old people with different weakness levels, wherein the multi-dimensional parameters comprise environmental parameters, body parameters, physiological parameters, skin temperature change characteristics, skin temperature and sweating amount change characteristics and overall and local flow changes. The TSV (thermal sensation) and ASV (wind sensation) subjective feeling models are used for predicting the TSV (thermal sensation) and ASV (wind sensation) of the old people with different weakness levels. And meanwhile, an optimal model feature subset is extracted by adopting recursive feature elimination, and a prediction model with optimal performance is established. The method can provide solid data basis and modeling method support for subsequent intelligent control of the thermal environment suitable for aging.

The invention discloses a college student subject anxiety intervention system based on music therapy and auricular point stimulation, and relates to the technical field of psychological intervention and health management. The system comprises a data acquisition module, an evaluation analysis module, an intervention strategy generation module, a music intervention module, an auricular point stimulation module and an effect feedback module. The data acquisition module is used for acquiring physiological signals of college students, test taking related information and anxiety self-evaluation data; the evaluation analysis module constructs an anxiety grade evaluation model based on the collected data to determine an anxiety grade; the intervention strategy generation module matches a corresponding music therapy and an auricular point stimulation scheme according to the anxiety level; the music intervention module plays personalized music, and the auricular point stimulation module realizes accurate and safe auricular point electrical stimulation through a flexible electrode; the effect feedback module collects physiological signals and subjective feelings in intervention in real time, and dynamically adjusts an intervention scheme. The method combines two therapies to realize individual accurate intervention of anxiety taken by college students, is remarkable in effect and high in safety, and can be widely applied to the field of college psychological health education.

The application relates to a click-induced detection method under the guidance of subjective and objective perspectives, and belongs to the technical field of natural language processing. First, subjective feelings and objective entity knowledge contained in a post in click-induced content are extracted to generate subjective and objective preference distribution. Then, post and article information is mined from the subjective feeling and objective content association perspective to form a final comprehensive content representation. Finally, the comprehensive representation is used for inductive label prediction. The method not only obtains a comprehensive representation of the semantics, writing style and emotional tendency of the post from the subjective perspective, but also captures the content association features of the post and the article from the objective perspective. The method can mine key language and subjective feeling clues and can quickly make a judgment. The method learns text features on the objective level based on the association between the post and the article content from the objective entity perspective, extracts rich auxiliary information from the content association between the post and the article, and can comprehensively make a judgment.

The application is suitable for the field of audio evaluation, and provides an evaluation method and device for sound space feeling and electronic equipment. The evaluation method for sound space feeling provided by the application comprises: acquiring a spatial audio signal output by sound; determining an angle matrix of the spatial audio signal according to the spatial audio signal; and determining a spatial feeling objective index according to the angle matrix of the spatial audio signal, wherein the spatial feeling objective index comprises at least any one of a positioning feeling objective index and an immersion feeling objective index. The application constructs a set of reasonable objective evaluation indexes, and can be close to the subjective feeling of users as much as possible, combines the advantages of the objective evaluation method, such as convenient operation and strong repeatability, and the subjective evaluation method, such as high correlation with hearing feeling, and can bring greater benefits to the evaluation of sound (for example, a vehicle-mounted immersive sound system).

According to the closed-loop feedback training method and device for hypoglycemia perception reconstruction, a closed-loop training system integrating monitoring, stimulation, recording and evaluation is established, a patient is helped to reestablish the correct recognition and perception ability of the brain on hypoglycemia early signals, and the serious hypoglycemia risk is reduced fundamentally. The method comprises the following steps: (1) acquiring continuous blood glucose monitoring data of a user through a data interface, and judging whether a training trigger condition is met or not based on a blood glucose lowering trend of the data; (2) when it is judged that the training opportunity arrives, a preset specific tactile stimulus is applied to the user through a tactile feedback device; (3) when the tactile stimulation is applied, a guide instruction is sent to a user through a user interface, and a recording entrance is provided; (4) the blood glucose value / trend at the training time, the applied tactile stimulation mode and the subjective feeling recorded by the user are stored in an associated mode, a training log is formed, and the training log is analyzed regularly.

This invention discloses a method, device, and storage medium for analyzing the vibration isolation performance of a seat. The method includes: acquiring seat vibration data and subjective evaluation data from a human-seat vibration test; determining the root mean square (RMS) value of the total weighted acceleration at different measuring points on the seat based on the seat vibration data to obtain the RMS value of the total weighted acceleration for multiple subjects; performing linear regression analysis on the multiple RMS values ​​of the total weighted acceleration and different vibration excitations to determine the benchmark vibration excitation; performing correlation analysis on the multiple RMS values ​​of the total weighted acceleration and subjective evaluation data to determine the target evaluation threshold based on the benchmark vibration excitation; and using the target evaluation threshold as the threshold for objective evaluation indicators to analyze the vibration isolation performance of the seat. In this invention, the target evaluation threshold is used as the comfort evaluation standard, and the objective evaluation indicators have a high degree of consistency with human subjective feelings, thus improving the reliability and accuracy of seat vibration isolation performance analysis.

The invention discloses a bladder nerve electrical stimulator intelligent regulation and control system based on multi-source physiological feedback and a control method thereof. The system comprises a multi-source physiological signal acquisition module, an edge calculation processing unit and a communication module. The control method comprises the steps that objective physiological signals of a patient and subjective feeling feedback serving as event anchor points are synchronously collected through the collection module; in the learning stage, the edge calculation processing unit automatically associates objective physiological signals in a time window before occurrence based on the event anchor points so as to construct a personalized model; in the self-adaption stage, the model is used for processing real-time objective physiological signals, the risk level of the bladder state is predicted, and a corresponding regulation and control strategy is selected according to the risk level to generate an electrical stimulation parameter regulation and control instruction; and finally, the instruction is issued through the communication module. The bladder nerve electrical stimulator aims to solve the technical problems that parameters of an existing bladder nerve electrical stimulator are fixed and cannot be adaptively adjusted, and the accuracy, comfort and effect of treatment are helped to be improved.

The invention relates to the technical field of medical instruments, and discloses an acupuncture air feeling evaluation method and system, which solve the problems that subjective feeling during acupuncture is inconvenient to objectively characterize and scientificity of acupuncture treatment cannot be improved in the existing acupuncture process, and the acupuncture air feeling evaluation method comprises the following steps: S1, puncturing acupuncture points of a subject by using an invasive acupuncture electrode; s2, acquiring an electromyographic signal on the periphery of an acupuncture point of a subject and an MASS scale score of the subject; s3, performing signal processing and feature extraction on the acquired electromyographic signals; s4, correlating the electromyographic signal features with the MASS scale score of the subject, and obtaining an air feeling quantitative evaluation model through construction and training; s5, the electromyographic signals are processed and then input to obtain a gas sensing quantitative evaluation model; according to the invention, the subjective feeling is converted into quantifiable objective data and displayed, so that the subjective'Qi 'feeling in the acupuncture and moxibustion process can be described and recorded in a standardized manner, and the scientificity of acupuncture and moxibustion treatment is improved.

The invention provides a method for improving sleep quality based on control of REM stage stimulation, and the method comprises the steps: collecting the objective total sleep duration and subjective total sleep duration of a user, calculating to obtain a sleep error perception index, and determining whether the user is a contradictory insomnia; applying preset REM stimulation parameters to the user when the user enters the REM period and meets safety conditions, and monitoring physiological parameters of the user after being stimulated; the total sleep duration of the user at the night is collected, and the evaluation effect E of the intervention is obtained through calculation based on the evaluation model; when E is greater than 0, the intervention is valid, and when E is less than or equal to 0, the intervention is invalid. According to the method, the sleep error perception index is calculated through the sum of the objective total sleep duration and the subjective total sleep duration, and is used for screening and marking the crowd with the contradictory insomnia, so that intervention resources can be concentrated on the crowd with subjective feeling long-term deviation, and the intervention efficiency is improved.

The invention relates to the technical field of artificial intelligence and natural language processing, and discloses an AI follow-up visit robot intelligent interaction method and system, and the method comprises the steps: extracting a structured entity; constructing a semantic situation vector based on the structured entity; performing emotion source classification according to the emotion polarity; outputting individualized response expected time; and judging whether the response is overtime and triggering a compensation reminding strategy. In the prior art, a follow-up interaction response mode triggered by depending on a rule template or a keyword is difficult to realize accurate identification, emotional understanding and personalized compensation in an unstructured scene in which a patient expresses medication experience, subjective feeling or non-timely response in a free language. Due to the fact that a structured label extraction mechanism is introduced, an emotion judgment method is fused, and a response prediction model of historical behaviors and emotional states is combined, sensitive information recognition in doctor-patient interaction is achieved, and the understanding ability of the AI follow-up visit robot and follow-up visit interaction efficiency are improved.

The invention discloses a pressure-dividing and zoning vamp design method, which comprises the following steps of: dividing a foot part into a foot medial region, a forefoot region, an instep region, a foot posterior region and a foot lateral region, taking a plurality of test points in each region, taking an average value of pressure values of the test points in the same region of the foot part to obtain a pressure threshold value of the region, and finally selecting a vamp material according to the pressure threshold value. A quantifiable evaluation system for the vamp comfort is established, subjective feeling is weakened, and therefore the requirement of a runner for the vamp comfort is met.