112 results about "Virtual teaching" patented technology

The invention discloses a virtual teaching training method and system based on a large language model and a medium, and the method comprises the following steps: determining preset feature parameters of virtual students according to teaching levels and subject contents; constructing a large language model, generating virtual students based on the large language model according to preset feature parameters of the virtual students, and inputting multi-modal teaching information; the virtual students perform model training and learning on the multi-modal teaching information to generate learning state information and feedback information; the virtual teaching expert proposes a suggestion for dynamically adjusting and optimizing the teaching strategy based on the evaluation result; dynamic learning and interactive feedback are carried out by simulating virtual students with different priori knowledge levels and cognitive competence, and meanwhile, real-time evaluation and personalized improvement suggestions are carried out on the teaching process by utilizing the constructed virtual expert system, so that a user is helped to continuously optimize a teaching strategy, and the teaching quality of a specific subject is improved.

The invention provides a middle and primary school multi-person interactive teaching method and system based on a VR technology, and relates to the technical field of virtual reality, and the method comprises the steps: generating a model through deep learning based on pre-obtained teaching aid model data, determining subcomponents, combining a teaching aid generation engine, and constructing a virtual teaching aid; a color image and a depth image are obtained through a structured light depth camera, two-dimensional pixel coordinates are obtained, depth information is combined, a three-dimensional skeleton curve of limb movement of a student is generated, an optical motion capture result is obtained, an inertial motion capture result is obtained through inertial drift calibration based on the three-dimensional skeleton curve, and a limb movement three-dimensional track of the student is reconstructed; generating a force feedback signal by solving a kinetic equation through a collision detection algorithm based on the three-dimensional trajectory of the limb movement of the trainee; and rendering the virtualization model into a virtual teaching scene, synchronizing the limb movement three-dimensional track and the force feedback signal in real time, and generating a multi-person collaborative interaction process of the virtual teaching aid.

The invention discloses a VR teaching experience enhancement system and method, and belongs to the technical field of virtual teaching, and the method specifically comprises the steps: collecting the position data and posture data of a trainee in a VR environment, building a multi-user coordination interaction model based on the position data and posture data of the trainee in the VR environment, and carrying out the interaction of the multi-user coordination interaction model. The method comprises the following steps: acquiring training participants, identifying an interaction relationship and an interaction event among the training participants, generating tactile feedback data corresponding to the interaction event based on the interaction event, performing calibration processing on the tactile feedback data, and synchronously sending the calibrated tactile feedback data to VR equipment of the training participants, the calibration processing comprises adjusting the tactile feedback data based on the spatial propagation difference quantity and the tactile feedback time offset value of the trainees; according to the invention, when multiple trainees cooperatively operate the same virtual object or scene, consistent and real-time tactile response and spatial perception can be obtained, and the teaching experience in a multi-person cooperation scene is improved.

The invention relates to the technical field of teaching management, discloses an intelligent teaching system based on a knowledge graph and virtual simulation and a construction method, and aims to effectively solve the difficulty in integration and management of teaching resources and provide personalized teaching experience. The system comprises a knowledge graph construction module which is used for integrating and standardizing teaching resources and constructing a knowledge graph containing knowledge points and association relationships thereof; the virtual simulation teaching module is used for displaying knowledge points in a virtual simulation form by constructing a knowledge presentation model and an interactive learning model, and evaluating learning conditions of students; the intelligent teaching control module is used for constructing a teaching strategy model by adopting a reinforcement learning algorithm and dynamically adjusting a teaching instruction according to the learning progress and the interaction effect of the students; and the execution presentation module is responsible for receiving and executing the teaching instruction and presenting the teaching content in the virtual teaching environment. The system improves the pertinence and effectiveness of teaching, and stimulates the learning interest of students.

The invention discloses a hybrid teaching method and system and electronic equipment, and the method comprises the steps: collecting and preprocessing teaching environment point cloud data, generating a point cloud scene model through a decoupling sparse prior guide diffusion compression model, and improving the display quality through resistance diffusion compression. And deploying a teaching management system based on the micro-service architecture to realize multi-user real-time interaction, collecting interaction behavior data, and performing deep learning analysis to generate an evaluation report. Through the point cloud processing and image optimization method, the construction efficiency and image quality of the virtual teaching environment are greatly improved, distributed deployment and real-time interaction capability of the teaching platform are realized, and technical support is provided for hybrid teaching.

The invention discloses a mathematics virtual-real fusion teaching system. A scene construction module is used for constructing a virtual teaching scene by using a virtual reality technology according to teaching contents and learning requirements of students; the animation simulation module is used for creating a mathematical model and an animation in the virtual teaching scene by utilizing a three-dimensional modeling technology and an animation production technology; the data acquisition module is used for acquiring learning behavior data and physiological data of students through the intelligent teaching terminal and the wearable sensor to obtain learning feedback data; analyzing the learning feedback data by using a machine learning algorithm to obtain learning state data of the student; and the teaching feedback module is used for adjusting a teaching mode and a teaching scene in the virtual teaching scene according to the learning state data. Through virtual reality and augmented reality technologies, in combination with a highly vivid virtual teaching scene and an innovative interaction mode, mathematics learning is more vivid and interesting, and the learning interest of students is greatly improved.

The invention provides an AIGC digital human-based MOOC video generation method and device, and relates to the technical field of artificial intelligence content generation. The method comprises the following steps: inputting a target action sequence into a target digital human model, driving the target digital human model to execute a corresponding target action according to the target action sequence, and obtaining a target digital human teaching video; constructing a target virtual teaching scene by adopting a virtual engine, and embedding the target digital human model into the target virtual teaching scene to obtain a target teaching digital human model; determining a video background image and decoration and voice parameters of a target digital human model according to the target courseware by adopting a multi-mode AI model; and based on a preset template and the video parameters, according to the target digital person teaching video, the target teaching digital person model, the video background image, the decoration of the target digital person model and the voice parameters, generating a MOOC video. The method can improve immersion and practical operation effect, realizes teaching according to materials, reduces manpower and time cost, and is suitable for large-scale course production.

The invention discloses a multi-mode interactive virtual teaching method and system. The method comprises the following steps: acquiring multi-source data; extracting voice data acoustic features, and inputting the voice data acoustic features into a learning model to obtain a text triple; key terms are extracted from the text data, a traceable operation chain is generated, semantic analysis is carried out, and an operation scheme is output in combination with a knowledge graph; performing abnormal state recognition on the image data through a target detection model, positioning abnormal equipment in combination with a character recognition model, performing action mapping through gesture recognition and a spatial constraint rule, and outputting a corresponding instruction; fusing the three types of outputs to generate a scheduling event chain; and performing semantic analysis, evaluation and optimization on the scheduling event chain, interacting with personnel, updating operation suggestions and providing an operation analysis result. According to the method, manual rechecking requirements are reduced through multi-modal data collaboration, a new man-machine interaction database and a new man-machine interaction standard in the power industry can be formed through multi-modal interaction rules and event chain construction, and data intelligent driving is achieved while the training efficiency is improved.

The invention discloses a virtual teaching scene generation method and device, equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the following steps: extracting semantic features, visual features and sampling features; mapping and classifying the plurality of features to obtain rendering parameters; the shapes and the surface textures of all the objects contained in the virtual classroom are rendered in real time through the rendering parameters, and three-dimensional teaching resources are obtained; spatial layout coding and scene hierarchical coding are respectively carried out on the three-dimensional teaching resources to obtain spatial layout features and hierarchical spatial features, the spatial layout features and the hierarchical spatial features are decoded to obtain geometric shapes and layout position parameters, and a virtual teaching scene is generated through the geometric shapes and the layout position parameters. Dynamic adjustment can be carried out according to different teaching activities and scenes, and the adaptability is improved. The mutual space relation of the multiple objects of the three-dimensional teaching resources is correctly described, and the accuracy of the generated teaching scene is improved.

The invention relates to the technical field of electric power work teaching, in particular to an electric power work teaching-oriented multi-modal data fusion VR scene automatic modeling method, which can efficiently and accurately extract key semantic information related to electric power work from multi-modal data through a deep learning-driven semantic recognition and label generation method, so as to improve the teaching efficiency of the electric power work. Multi-modal fusion is carried out by introducing a graph neural network structure, the problems of data splitting, semantic missing, scene stiffness and the like in a traditional modeling mode are effectively solved, comprehensive transition from low-level perception to high-level understanding is achieved, a generated three-dimensional VR scene model is closer to a real electric power operation environment, and teaching efficiency is improved by automatically generating and embedding teaching scripts. According to the system, the virtual teaching content is highly consistent with the actual operation process, the problems of subjectivity and inconsistency in the traditional manual script input process are effectively avoided, and the visualization effect and the real-time response capability of a teaching scene are effectively improved.

The invention discloses a virtual welding teaching training system, and belongs to the technical field of virtual teaching, the virtual welding teaching training system comprises a head-mounted display device, a welding plate and a simulation welding gun, a camera of the head-mounted display device is used for capturing an actual operation picture and transmitting the actual operation picture to a computer; the display screen is used for displaying the virtual welding picture processed by the computer; the welding gun comprises a grip and a welding rod, the welding rod is arranged at the front end of the grip and provided with a pressure sensor used for sensing contact pressure between the welding rod and the welding plate, and the grip is provided with an inclination angle sensor used for sensing the inclination angle of the welding rod. According to the head-mounted display device, the actual operation picture is captured through the camera, the virtual molten pool and weld seam images processed by the computer are displayed on the display screen in an overlapped mode, through the fusion display mode, students can visually observe the real-time association between the operation of the students and the welding effect, and the immersion and interactivity of the training process are remarkably improved.

The invention discloses a virtual teaching data interaction method and system based on digital twinning. The method comprises the following steps: acquiring audio and video data; determining a fluctuation range according to the data to obtain a change type; clustering the data according to the change type to obtain a clustered data set and isolated digital information; constructing a digital twin virtual teaching model; simulating the isolated digital information to obtain an output variable quantity, and performing parameter setting; and determining a data anomaly degree and making a virtual teaching data interaction decision in combination with the prediction accuracy of the digital twin virtual teaching model. According to the method, the accuracy of virtual teaching data interaction decision can be improved.

The invention discloses a virtual teaching environment construction and feedback adjustment method and device based on immersion interaction, and relates to the technical field of virtual teaching. The virtual teaching environment construction and feedback adjustment method and device based on immersion interaction comprises the following steps: S1, obtaining class teaching behavior data, and preprocessing the class teaching behavior data; s2, constructing a content label vector, screening a candidate set, performing joint quantitative analysis on an adaptation relationship between recommended contents and students, and labeling a recommended state label of each recommended content; s3, collecting interaction feedback of the teacher to construct a recommendation interaction log, and analyzing the adaptation deviation degree of the recommendation content in the teaching scene; and S4, quantitatively analyzing recommended response fluctuation intensity, grading response fluctuation states, and triggering self-adaptive adjustment of weights according to fluctuation grading. The problem of misjudgment caused by difficulty in judging whether the recommended content is suitable for the student level by a teacher is solved.

The invention discloses a cloud education management system and method based on big data, and relates to the technical field of cloud education, and the method comprises the steps: employing a dynamic time warping algorithm to fuse an MFCC feature vector and a comprehensive eye movement feature vector according to a timestamp, and generating a comprehensive feature vector; on the basis of a hierarchical processing mechanism and a cross-modal attention mechanism, constructing a double-flow Transform model, and predicting a cognitive load index of the student according to the comprehensive feature vector; and constructing a virtual teaching environment, optimizing three strategy parameters including explanation speed, interaction frequency and content difficulty in the virtual teaching environment based on an adaptive strategy optimization algorithm and in combination with cognitive load data, and dynamically generating a teaching scheme. According to the method, the double-flow Transform model is constructed, the time sequence embedding layer and the space embedding layer are combined, the time sequence features and the space features are dynamically fused through the cross-modal attention mechanism, accurate prediction of the cognitive load is achieved, and a basis is provided for dynamic optimization of a teaching strategy.

The invention provides a virtual teaching platform compatible with an intelligent teaching aid and an interdisciplinary teaching method, and relates to the technical field of virtual reality and teaching, the virtual teaching platform comprises a teaching aid linkage system, an entity system and a simulation system, the entity system comprises an entity teaching aid, a control module and an information acquisition module, the information acquisition module is used for acquiring teaching information of an entity teaching aid in real time. The control module is used for controlling operation of the entity teaching aid. The simulation system comprises a virtual teaching aid, a simulation engine and an information storage module, the virtual teaching aid is arranged corresponding to an entity teaching aid, the simulation engine is used for controlling the virtual teaching aid to perform analogue simulation training, the information storage module is used for storing historical test data of the virtual teaching aid, and the problem of data separation between the entity teaching aid and a virtual environment is solved. The control instruction of the student in the simulation engine can drive the real entity teaching aid to execute, and the entity teaching aid can also be mapped to the virtual teaching aid for synchronous operation.

The invention discloses a digital 3D model editing and viewing platform for teaching, and belongs to the technical field of virtual teaching platforms. A 3D model standardization module is arranged in a cloud server; the element extraction unit is used for extracting basic characteristics of each part in a 3D model uploaded by a user, and the recombination unit is used for generating the part in a target format according to the material, color, shape and size of each part and then carrying out 3D model recombination according to the azimuth vector and connection mode of each part to obtain the 3D model in the target format; the 3D model viewing module displays the 3D model through a web browser and / or meta-universe equipment; and the 3D model editing module edits the 3D model in the target format in the cloud server or the 3D model displayed in the 3D model viewing module according to requirements. The technical problems of function limitation, operation complexity, poor teaching adaptability and the like of an existing 3D model editing and viewing platform in teaching application are solved.

The invention discloses an online teaching video production method and device based on a virtual scene, and a medium, belongs to the technical field of teaching video production, and is used for solving the technical problem of high curriculum abandoning rate caused by low construction efficiency, low content updating rate and low knowledge transmission accuracy of an existing online curriculum. The method comprises the steps of customizing a digital teacher image of a target teacher based on modeling software; wherein the digital teacher image comprises a 3D digital teacher image and a 2D digital teacher image; constructing a virtual teaching scene, and training a virtual scene model to identify a user instruction so as to adjust features in the virtual teaching scene; based on the made teaching courseware, generating a corresponding digital human control script and a voice explanation script; placing the digital teacher image and the virtual teaching scene into a virtual environment, and fusing the digital teacher image and the virtual teaching scene with the digital human control script and the voice explanation script to form a virtual teaching model; and performing video rendering on the virtual teaching model to obtain a teaching video.

The invention relates to the technical field of digital twinning, and provides an online teaching interaction enhancement method and system based on digital twinning, and the method comprises the steps: obtaining a user behavior data set through a multi-modal data collection device; performing space-time alignment processing on the user behavior data set, generating a virtual avatar driving data set synchronized with the user behavior, inputting the virtual avatar driving data set into a digital twinborn model of the virtual teaching scene, and driving a virtual avatar in the digital twinborn model to execute a real-time action corresponding to the user behavior; based on the real-time action of the virtual avatar and the spatial relationship data between the teaching elements in the virtual teaching scene, an interaction instruction set is generated, and the interaction instruction set is used for indicating response operation of the teaching elements in the virtual teaching scene; and adjusting interaction feedback configuration information of the virtual teaching scene according to the interaction instruction set, and updating rendering output data of the digital twin model based on the adjusted interaction feedback configuration information.

The invention relates to the technical field of AI evaluation, in particular to a post competency AI evaluation system and a post competency AI evaluation method, the post competency AI evaluation system comprises an intelligent scanning layer, a diagnosis decision-making layer, a talent development prediction layer, an education optimization layer and a data closed-loop feedback module, and the intelligent scanning layer comprises a multi-modal biological characteristic acquisition module and a dynamic ability modeling module; the talent development prediction layer comprises a capability-post matching engine and a demission risk early warning unit; the education optimization layer comprises a course reform simulator and a virtual teaching and research room; compared with the defects that in the prior art, single questionnaire or static video analysis is relied on, the evaluation dimension is one-sided, and subjective interference is likely to happen, the scheme synchronously integrates three types of biological characteristics of facial micro-expression (52 key point tracking), writing force waveform (1000 Hz pressure sense) and VR situation response (1200 + scene library), and the evaluation accuracy is improved. Holographic dynamic capture of a candidate cognitive mode, anti-pressure ability and actual combat response is realized, and objectivity and ecological validity of competency evaluation are remarkably improved.

The invention belongs to the technical field of virtual teaching modeling methods, and particularly relates to a three-dimensional reconstruction method for ship virtual teaching modeling. Comprising the following steps: establishing a point cloud data coordinate system, optimizing ship space contour feature points, optimizing feature points and non-feature points, updating point cloud data based on the previous steps, and generating a ship scene model based on a Possion curved surface reconstruction method. The three-dimensional reconstruction method for ship virtual teaching modeling is mainly used in a point cloud data-based three-dimensional reconstruction modeling process of large equipment such as ships and the like, and is used for solving the problems of point location offset, line direction errors and the like in a point cloud generation process of various equipment in the ships and optimizing distribution of point cloud data in a reconstruction process; by reducing the density of low-feature-quantity point cloud data, reducing the total quantity of the point cloud data, reducing the load on system resources, improving the proportion of high-feature-quantity point cloud, optimizing the representation capability of the point cloud data and improving the display performance of a reconstructed picture.

The invention relates to the technical field of digital media art teaching, and discloses a digital media art teaching system constructed by fusing a virtual reality technology. A teaching state evaluation unit of the system comprises a plurality of student creation state acquisition subunits corresponding to student terminals, and can synchronously acquire multi-dimensional state information in a plurality of student creation processes, and a teaching balance degree judgment unit determines a teaching balance degree based on an acquisition result; the virtual creation environment construction unit judges whether to start three-dimensional scene acquisition or not according to the teaching balance degree, and acquires adaptive virtual creation scene data when judging that the three-dimensional scene acquisition is started; and the teaching strategy decision-making unit generates an optimal teaching path plan based on the virtual creation scene data, and adjusts virtual teaching scene parameters according to the optimal teaching path plan. The system can realize accurate monitoring of student creation states, targeted construction of a virtual environment and dynamic optimization of teaching strategies, and assists in improving digital media art teaching quality and student creation ability.

The application discloses a kind of Chinese ancient dress recovery design virtual simulation teaching system, it is related to virtual teaching technical field, including wearing action end, dress understanding end and teaching difference end, wearing action end is used to judge in time and real-time student interactive action and clothing wearing action deviation Real-time correction;Dress understanding end is used to judge true and false for the content of different dress meaning transmission of virtual AI digital person;Teaching difference end is used to carry out difference teaching management according to different score students, until teaching mastery is in standard range End.The Chinese ancient dress recovery design virtual simulation teaching system avoids the problem that clothing wearing action and virtual clothing are not closely fitted and wearing and taking off action is not accurate in the interaction process, prevents the problem that students are difficult to truly understand the meaning and value carried by ancient dress, avoids the problem that the individual difference of students cannot comprehensively realize teaching mastery.

The invention discloses an interactive classroom teaching system based on a virtual reality technology, and particularly relates to the technical field of education. The problems that an existing virtual teaching environment is rigid, multi-user operation conflicts exist, physical feedback is missing, and the evaluation dimension is single are solved. According to the invention, a virtual classroom topological structure is dynamically recombined, physical rationality of cooperative operation is realized by combining multi-level authority control and a conflict arbitration algorithm, and self-adaptive tactile feedback and an operation track intelligent analysis module are integrated. And finally, seamless switching of interdisciplinary scenes, improvement of the reality sense of multi-user operation, teaching evaluation accuracy optimization and cross-platform smooth interaction are realized.

The invention discloses an interactive simulation teaching method and system based on virtual reality, and relates to the field of simulation teaching, and the system comprises a medical teaching simulation platform which comprises a teaching information management module, a medical course teaching module, a virtual teaching construction module, a virtual interaction collection module and a virtual data processing module; the teaching information management module is used for acquiring medical education information and medical knowledge information; the medical course teaching module is used for submitting a medical theory teaching course by a teacher user account and carrying out course theory teaching and assessment; the virtual teaching construction module constructs a virtual interactive analysis model according to the medical theory teaching course, the medical education information and the medical knowledge information; the virtual interaction acquisition module is used for acquiring real-time image information and biomechanical information; the virtual data processing module is used for analyzing and processing the collected data according to a virtual interaction analysis model to obtain virtual feedback information; according to the invention, the interactivity in the teaching process is improved.

The present application discloses a teaching system based on AIGC classroom behavior feedback, which relates to the fields of computer artificial intelligence and education, and in particular to an AI-based virtual teaching system, which uses artificial intelligence technology to realize the teaching of a virtual private teacher; the teaching interface is divided into two parts, one part is a virtual teacher, which can be a cartoon character, a social celebrity, etc., and the other part is a visual teaching interface, which displays the teaching content and assists users to better understand the teaching content; and the system is divided into a MOOC teaching part and a 1v1 question-and-answer part, each of which is further divided into a student end, an administrator end and a database, each of which plays a different role; a feedback mechanism is added to collect audience feedback information such as eye movement information and facial information to analyze their concentration and knowledge points that have not been mastered; and a speech end judgment mechanism is proposed to judge whether the audience has ended the conversation and feedback the corresponding ending words to the audience.

This application relates to a method and system for training neurosurgical specialist nurses based on a virtual teaching and research room. The method includes: acquiring patient data and clinical scenario parameters corresponding to preset neurosurgical training tasks from a medical database; constructing a virtual training environment using virtual simulation technology based on the patient data and clinical scenario parameters; collecting user interaction behavior data in real time through a sensor network deployed in the environment; analyzing the behavior data in real time and driving the virtual environment to generate real-time feedback effects; identifying key operation points using a pre-trained LSTM analysis model based on the behavior data and feedback effects; and generating a training feedback report based on the key operation points. This method can improve the realism of neurosurgical specialist nurses' operations in the virtual environment, the assessability of the training process, and the real-time nature of feedback, effectively assisting in professional skills training and assessment.

The invention discloses an AIOT-based smart garden virtual-real collaborative teaching training method and system, and belongs to the technical field of AIOT. The method comprises the following steps: performing grid division on a target smart garden site area, constructing teaching practical training sub-areas, deploying multi-source environment sensing equipment in each sub-area, collecting soil humidity, environment temperature, air humidity and illumination intensity, synchronously mapping the soil humidity, the environment temperature, the air humidity and the illumination intensity to a virtual teaching environment, and constructing a virtual practical training unit; comprehensive evaluation and fluctuation factor calculation are carried out on the multi-dimensional environment data in the virtual practical training unit, a dynamic allowable fluctuation interval is constructed, comparison analysis is carried out on the environment data of adjacent sampling time points, and when abnormal fluctuation is detected, early warning is triggered and dynamic teaching practical training is carried out in a linkage mode. The perceptible, evaluable and respondable garden teaching environment state is realized, and the authenticity, interactivity and practical teaching effect of teaching practical training are improved.

The invention belongs to the technical field of virtual simulation of medical education, and discloses an abdominal physical examination virtual teaching system and method based on a perspective viscera visual angle, which can comprehensively collect learning data of students through a multi-module architecture design, perform real-time analysis and evaluation, and improve the teaching efficiency. And personalized learning suggestions and feedback are provided according to the specific condition of each user, so that the learning efficiency of the user can be improved, the precision and personalization of the teaching process can be realized according to the learning condition of the user, the viscera perspective technology is realized, the internal and external association can be visually displayed, the dynamic observation of the lesion process is supported, and the multi-angle observation view angle is provided. A standardized training system is established, a multi-level training scheme is set, a progressive learning path is provided, real-time operation evaluation is achieved, multi-dimensional ability evaluation is provided, personalized improvement suggestions are generated, a user can be helped to establish systematic clinical thinking, and the operation skill level is remarkably improved.

The invention relates to the technical field of medical teaching, in particular to a medical instrument operation simulation teaching method and platform based on electromagnetic detection, and the method comprises the following steps: arranging a medical teaching three-dimensional virtual scene in an induction space of a sensor array; respectively sensing magnetic signals of magnetic markers arranged on the hands of an operation student and on the end part of an operation instrument through the sensor array; performing practical operation evaluation on medical operation of an operation student in the medical teaching three-dimensional virtual scene based on the magnetic signal; and performing operation feedback and correction guidance on the medical operation of the operation trainee according to the evaluation result of the practical operation evaluation. Electromagnetic detection is applied to virtual teaching, the hands of students, the ends of instruments and the like are marked through the magnetic markers to form multi-point magnetic marks, real-time magnetic signals are detected through the sensor array, operation tracks are drawn, depth, frequency and other data are recorded, a magnetic coordinate system is combined with a mixed reality coordinate system, and the operation quality is evaluated efficiently and visually.

The invention discloses a refined behavior recognition method and system for a virtual teaching scene, and solves the technical problem that the precision of a final behavior recognition result is poor due to an existing refined behavior recognition method for the virtual teaching scene. The method comprises the steps that a virtual teaching scene behavior image is acquired, the virtual teaching scene behavior image is input into a behavior measurement model based on multilayer perception self-adaption, and the behavior measurement model based on multilayer perception self-adaption comprises a feature extraction network, a feature enhancement network and a posture decoding network; performing multi-scale feature extraction on the virtual teaching scene behavior image through a feature extraction network, and outputting multi-scale fusion features; performing feature enhancement on the multi-scale fusion features by adopting a feature enhancement network, and outputting target enhancement features; and inputting the target enhanced feature into a posture decoding network for posture decoding, and generating a behavior recognition result.