31 results about "Virtual teaching" patented technology

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.

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 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.

The invention relates to an educational resource overall management method and system based on an artificial intelligence data technology, and relates to the field of educational resource management technologies, and the method comprises the steps: obtaining a required teaching course, a feasible place set, and an overall curriculum schedule; determining a monomer allocation scheme according to each required teaching course; constructing an overall distribution scheme under the monomer distribution scheme of each teaching time period; determining a virtual class site in the overall distribution scheme according to the overall curriculum schedule, and determining an adjacent migration distance according to the virtual class site of the adjacent teaching time period; determining migration monomer parameters according to adjacent migration distances, and determining migration overall parameters according to all migration monomer parameters of the same student; and determining scheme evaluation parameters according to the migration overall parameters of all students, and defining the overall allocation scheme corresponding to the maximum scheme evaluation parameter as a reasonable use scheme. According to the invention, the situation of unfair distribution of educational resources is reduced.

The present disclosure discloses a hybrid teaching method, system and electronic device, which collects point cloud data of a teaching environment and pre-processes the data, generates a point cloud scene model by using a decoupling sparse prior guided diffusion compression model, improves display quality by using an adversarial diffusion compression, deploys a teaching management system based on a micro-service architecture to realize multi-user real-time interaction, collects interaction behavior data and performs deep learning analysis to generate an evaluation report. The present disclosure greatly improves the construction efficiency and image quality of the virtual teaching environment through point cloud processing and image optimization methods, and realizes the distributed deployment and real-time interaction capability of the teaching platform, providing technical support for hybrid teaching.

The invention relates to the technical field of data processing, in particular to a computer virtual system for teaching based on data fusion, and the system comprises a data processing module which collects multi-source teaching data and carries out the preprocessing of the multi-source teaching data, and obtains multi-source teaching features; the scene generation module fuses the multi-source teaching features through a fusion algorithm to obtain a feature fusion result, and constructs a scene in combination with teaching scene requirements to obtain a virtual teaching scene; the interaction module is used for applying the virtual teaching scene to a computer so that teachers and students can carry out interactive teaching; the weight adjustment module is used for determining the minimum adaptation amount of the multi-source teaching core feature weight according to the matching deviation ratio of the feature fusion result and the teaching scene; the association adjustment module is used for determining a multi-source feature missing complementary association adaptation value according to the missing rate of the multi-source teaching data; and the gradient adjustment module is used for determining the fluctuation smooth gradient calibration degree of the multi-source teaching data according to the noise data proportion of the multi-source teaching data. According to the invention, the construction effectiveness of the virtual teaching scene is improved.

A computing system is provided. The computing system may be configured or programmed to: i) communicate with a trainee computing devices to present a virtual instructional environment; ii) receive sensor data from at least one of the trainee computing device associated with the trainee and a client computing device associated with a client; iii) evaluate the current interaction between the trainee and the client by applying the received sensor data associated with the current interaction to a trained instructional recommendation model to generate an instructional recommendation message including a script for the trainee to communicate during the current interaction; and iv) present, within the virtual instructional environment, the instruction message

The application relates to the technical field of medical simulation teaching, in particular to a virtual teaching system of a bronchoscope. An acquisition module first acquires the multi-modal operation data of a target operator on a virtual bronchoscope collected in real time through a VR device. An evaluation module generates a capability profile and determines a weak point in capability in combination with the multi-level branch anatomical features and respiratory physiological features of a bronchus. An adjustment module selects training content matched with the capability profile and the weak point in capability from a training library. An interaction module visualizes the operation suggestions of a teacher and superimposes the operation suggestions on the display interface of the VR device through an AR device to dynamically update the display parameters. The application provides targeted teaching scenes for target operators with different degrees of proficiency in combination with the VR device and the AR device, improves the training efficiency and clinical conversion rate, and reduces the understanding difficulty of the target operator based on the visual guidance of the teacher, thereby improving the teaching efficiency of bronchoscope operation.

The invention relates to the field of virtual teaching, in particular to a virtual teaching device and a teaching method. The invention discloses a virtual teaching device and a teaching method, and the device comprises a teaching platform, two sides of the teaching platform are respectively provided with two first electric push rods, a lifting frame is fixedly connected between the telescopic ends of the four first electric push rods, the lifting frame is provided with a transverse plate, the transverse plate is provided with a rotating disc, one side of the rotating disc is fixedly connected with a swing arm, and the swing arm is provided with a sliding groove. Second electric push rods are rotationally connected to the inner sides of the lifting frames, connecting pieces are arranged at the telescopic ends of the second electric push rods, and the connecting pieces are slidably connected with the sliding grooves. Through the teaching platform and the naked eye 3d equipment, the growth state and other complex processes of the plant are visually presented in a 3D mode, students can clearly observe details of all steps, understanding deviation caused by fuzzy operation in a traditional experiment is avoided, meanwhile, the virtual simulation technology can skip the plant growth cycle and directly display results after operation, the teaching cost is reduced, and the teaching efficiency is improved. And the learning interest and efficiency are improved.

The invention provides an infant teacher practical training supervision system and method, and relates to the field of education technology and artificial intelligence cross technology, and the system comprises an AR scene simulation module which is used for constructing a virtual infant teaching scene with a self-adaptive teaching scene; the multi-modal sensing array module is used for synchronously collecting multi-modal teaching characteristics of a teacher; the teaching ability evaluation module is used for evaluating the teaching ability of the teacher through a preset teaching behavior evaluation model based on the multi-modal teaching characteristics of the teacher and the real-time feedback data of the virtual child roles; and the intelligent intervention module is used for generating AR visual prompt information containing specific improvement measures according to the teaching ability evaluation result of the teacher, and displaying the AR visual prompt information in the virtual teaching scene in real time through the AR scene simulation module. According to the invention, the problems of lack of real-time guidance and insufficient interactive feedback in the prior art are solved.

This invention belongs to the technical field of virtual teaching modeling methods, and particularly relates to a 3D reconstruction method for ship virtual teaching modeling. It includes the following steps: establishing a point cloud data coordinate system, optimizing the feature points of the ship's spatial contour, optimizing the feature points and non-feature points, updating the point cloud data based on the aforementioned steps, and generating a ship scene model based on the Possion surface reconstruction method. This 3D reconstruction method for ship virtual teaching modeling is mainly used in the 3D reconstruction modeling of large equipment such as ships based on point cloud data. It improves problems such as point position offset and line direction errors in the point cloud generation process of various equipment within the ship, while optimizing the distribution of point cloud data during reconstruction. By reducing the density of low-feature point cloud data, the total amount of point cloud data is reduced, decreasing the load on system resources, while increasing the proportion of high-feature point clouds, optimizing the performance of point cloud data, and improving the display performance of the reconstructed image.

The application relates to the technical field of digital media art teaching, and discloses a digital media art teaching system constructed by fusing virtual reality technology. A teaching state evaluation unit of the system comprises a plurality of student creation state acquisition subunits corresponding to student terminals, can synchronously acquire multidimensional state information in a plurality of student creation processes, and a teaching balance degree judgment unit determines the teaching balance degree based on acquisition results; a virtual creation environment construction unit determines whether to start three-dimensional scene acquisition according to the teaching balance degree, and acquires adaptive virtual creation scene data when it is determined to start; and a teaching strategy decision 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 virtual environments and dynamic optimization of teaching strategies, and helps improve the quality of digital media art teaching and the creation ability of students.

1. The name of the design product: Virtual teaching inquiry platform (liftable naked eye 3D). 2. The use of the design product: Used in virtual reality teaching scenes such as medical operation simulation and pathological gross inquiry, belongs to the product of educational technology equipment. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view 1.

The invention discloses a sports virtual teaching simulation system and method based on a sensor, and belongs to the technical field of sports virtual teaching, and the method comprises the following steps: collecting a large number of physical characteristics and motion data of different athletes through the sensor and a camera, setting the classification range of the physical characteristics of the athletes, and setting the classification range of the physical characteristics; classifying the acquired athlete data according to the range, and synchronously classifying the corresponding sensor data into corresponding categories; through the combination of the steps of multi-source data acquisition and preprocessing of a sensor and a camera, classification modeling according to project and physical features, student feature matching and personalized standard generation, real-time data comparison and feedback and the like, the action posture and the core force generation state of a student can be accurately captured; according to the physical education virtual teaching system and method, the teaching standard and 1: 1 virtual coach guidance matched with individuals are provided, the professionality, pertinence and error correction efficiency of physical education are improved, then efficient, accurate and personalized physical education virtual teaching is achieved, and the limitation that traditional teaching is only heavy in body and single in standard is broken through.

This application discloses an interactive teaching system based on virtual reality, belonging to the field of virtual reality and educational informatization technology. The system includes: acquiring initial configuration information of the virtual teaching space and semantically dividing the virtual teaching space; collecting multimodal teaching behavior data of users in real time and classifying the teaching scenario state into lecturing, discussion, self-study, or Q&A states; determining the target communication mode based on the teaching scenario state and performing a smooth switch from the current communication mode to the target communication mode; establishing an audio domain matrix; performing weighted mixing calculations on multi-domain audio and eliminating audio conflicts through a competition suppression strategy to generate personalized mixed audio output for each user; acquiring distance, role importance parameters, and user attention data between each audio source and the target user, dividing the audio stream into fine-level LOD, standard-level LOD, and economic-level LOD; and achieving low-cost, high-precision three-dimensional spatial audio positioning.

The invention relates to the technical field of virtual reality, in particular to a digital human and virtual teaching scene fusion rendering method, which comprises the following steps of: acquiring sight line staying time and sight line frequency of a virtual teacher image, extracting a current explanation object in a teacher instruction, and measuring the spatial distance between the camera and each teaching courseware model in the virtual teaching scene, and calculating the sight stay time, the explanation object matching degree and the spatial distance to obtain the teaching focus original score of each teaching courseware model. Through dynamic fusion of the visual focus of the virtual teacher and spatial positioning of the teaching model, teaching key points in a scene can be quantified in real time, so that a virtual environment can intelligently deploy rendering resources, the visual fidelity of a current explanation object is automatically improved, secondary elements are weakened, and the teaching efficiency is improved. The self-adaptive visual hierarchical structure effectively guides the attention of students, avoids cognitive overload, and ensures that core teaching content is always presented in the clearest mode.

The present application belongs to the technical field of virtual teaching project planning method, especially to a kind of digital virtual teaching strategy optimization method based on individual similarity. Including the following steps: extracting individual teaching record data, establishing parameter matrix;Based on the attention weight of individual to virtual teaching item, the interest degree expression of individual to virtual teaching item is established;Establish individual attribute label, obtain individual feature embedding based on text embedding;Global semantic similarity matching is obtained;Get the attribute characteristics of the individual to be analyzed, analyze similar individuals, and obtain the interest teaching item sequence according to the similarity;A number of teaching items are intercepted from the interest teaching item sequence to generate teaching arrangement. The present application uses flexible and easy-to-implement virtual teaching item teaching strategy generation method, which reasonably allocates and selects the composition mode and order of teaching items, so that individuals can complete teaching tasks under the premise of meeting their interests, and then fully utilize individual kinetic energy to enhance learning efficiency.

The invention discloses an endoscopic anatomical structure auxiliary detection and recognition system and method based on deep learning, and relates to the technical field of medical image processing and deep learning cross. YOLO11 is used as a basis, a multi-scale axial attention mechanism is introduced, key anatomical structure feature capture is enhanced, background interference is suppressed, the recognition precision of various anatomical structures is improved, and the recognition efficiency is improved. The process of'feature extraction-dynamic memory-precise positioning 'is combined with a dual-channel fusion layer, continuous frame feature dynamic association can be realized, recognition continuity can be kept, over-fitting is avoided through a cosine annealing learning rate and an early stop strategy, the model generalization ability is guaranteed, and finally, precise positioning of a multi-scale structure is realized through a decoupling detection head, so that the accuracy of the multi-scale structure is improved. The system can be used as a virtual teaching tool to simulate anatomy identification training in a complex operation scene, and can also be integrated to endoscope equipment to realize real-time assistance in an operation, so that visual anatomy navigation is provided for an operator.

The invention discloses a multi-virtual-person simulated teaching method and a related device, and relates to the field of virtual teaching, multi-modal interaction data of a target object in a virtual classroom is acquired, a target dimension influenced by the multi-modal interaction data is determined, a state value of a virtual student under the target dimension is updated according to the multi-modal interaction data, and the state value of the virtual student under the target dimension is updated according to the updated state value. And the virtual students are driven to make related behavior feedback based on the updated state values, the multi-modal interaction data are obtained again until the teaching is finished, and teaching evaluation data are generated according to the multi-modal interaction data and the behavior feedback obtained in the teaching process. According to the method, state value updating is only carried out on the influenced target dimension, the lesson listening state jumping efficiency is improved, the training scene is more consistent with the real teaching situation, and teaching in the virtual training scene is safer and more controllable; and evaluation is carried out based on objective data of the teaching process, so that objectivity and credibility of teaching evaluation data are improved.

The invention discloses a pathological feature enhanced virtual pressure sore nursing simulation system and method, and relates to the technical field of pressure sore virtual teaching, the simulation system comprises a pathological data acquisition module, a visual rendering module, an individual parameter matching module, an immersive interaction module, a nursing training module, an examination and evaluation module and a risk early warning module. According to the method, layered pathological visual presentation of pressure sores in different stages is strengthened, deep pathological characteristics such as subcutaneous tissue injury, slough attachment and blood perfusion change are visually displayed, limitation of a plane carrier in traditional training is abandoned, medical staff can build concrete pathological cognition and accurately grasp the pressure sore stage boundary, and the training efficiency is improved. Visual support is provided for forming accurate staging judgment for medical staff, the difference between training cognition and clinical practice is reduced, and an accurate learning platform is provided for accurate nursing operation.

The invention discloses a virtual teaching scene construction method and device, relates to the technical field of digital education, and mainly aims to accurately match knowledge points to a virtual teaching scene conforming to course standards. According to the technical scheme, the method comprises the following steps: constructing a resource library required by virtual teaching based on a spatial information library and a multimedia database; according to a preset spatial distribution type set, a data type set and a scene type set, performing multi-dimensional classification on contents in the resource library, and constructing a first mapping relation and a second mapping relation between the spatial distribution type set and the data type set and between the spatial distribution type set and the scene type set respectively; based on the teaching text, extracting knowledge points required by virtual teaching; determining a target data type and a target scene type of each knowledge point by using the first mapping relationship and the second mapping relationship; and based on the target data type and the target scene type, constructing a virtual teaching scene corresponding to each knowledge point in the three-dimensional virtual earth platform, and performing visualization processing on the virtual teaching scene.

The invention belongs to the technical field of teaching, and particularly relates to a multi-person interactive teaching system and method based on LLM and virtual reality large space technology, and the system comprises a teaching scene creation and management module which is used for creating and managing a teaching scene; the intelligent teaching auxiliary module is used for enabling students to intelligently learn in the teaching scene created by the teaching scene creation and management module through virtual reality equipment; and the multi-person cooperation interaction module is used for enabling a plurality of students to carry out cooperation interaction in the virtual teaching scene. Through the virtual reality large-space technology, students can immerse in a vivid teaching scene in the whole body and naturally interact with the virtual environment, the participation degree and the initiative of learning are greatly improved, compared with a traditional teaching mode, the students are no longer passive knowledge receivers but active explorers and practitioners, and the teaching experience of the students is greatly improved. And the learning effect is more obvious.

The application discloses a virtual teaching training method and system based on a large language model and a medium. The virtual teaching training method based on the large language model comprises the following steps: determining preset characteristic 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 the preset characteristic 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, and generate learning state information and feedback information; a virtual teaching expert proposes a suggestion of dynamically adjusting and optimizing a teaching strategy based on an evaluation result; dynamic learning and interactive feedback are performed on virtual students with different prior knowledge levels and cognitive abilities, a virtual expert system is constructed to perform real-time evaluation and individualized improvement suggestions on a teaching process, teaching strategies are continuously optimized for a user, and the teaching quality of a specific subject is improved.

This invention provides a VR-based interactive method, apparatus, and device for teaching electrical and electronic engineering, relating to the field of virtual teaching technology. The method includes: acquiring a display request for a target electrical and electronic engineering teaching scene sent by a teacher's terminal; displaying a login notification after confirming a student is wearing a VR device; upon receiving login information, displaying the student with a teaching demonstration module, a student practice module, and an assessment module corresponding to the target electrical and electronic engineering teaching scene; displaying a simulated 3D scene of the target electrical and electronic engineering teaching scene on the VR device worn by the student, based on the target module selected by the student; the target module can be any one of the teaching demonstration module, student practice module, and assessment module; after confirming the student has completed the assessment module, collecting the student's learning data and sending the student's login information and learning data to the teacher's terminal. This invention can improve the quality of electrical and electronic engineering teaching, optimize learning outcomes, and make teaching content more vivid and easier to understand.

The application belongs to the technical field of virtual training planning, and particularly relates to a virtual training method for a ship power device. The application establishes a mechanism for analyzing the change of attention degree of students in different time periods in a virtual training process and the difference information of the attention degree for different targets in a virtual scene, provides an optimization basis for optimizing the allocation of training content in a virtual teaching process, and provides an improvement reference for virtual scene design. The method is beneficial to improving the teaching time and space classification of virtual teaching content, reducing the interference in the teaching process, and improving the teaching efficiency.

The application belongs to the technical field of MR technology, and discloses an interactive teaching method and system based on MR technology, which comprises the following steps: obtaining hand data of a user, generating corresponding virtual hand data, sending a virtual teaching request to the user to guide the user to move the hands to a plurality of target positions corresponding to teaching content in sequence, converting gesture changes generated by the user into corresponding gesture change data according to a preset linear interpolation formula to obtain the virtual hand data after movement, and judging whether the virtual hand data after movement all reach the corresponding target positions; if yes, it is determined that the user completes the virtual teaching request; if no, the user is reminded to move the hands to the plurality of target positions again until the virtual hand data after movement all reach the corresponding target positions; whether the user completes the virtual teaching request is determined according to whether the virtual hand data after movement obtained after each movement all reach the corresponding target positions, and the efficiency of virtual teaching is improved.

The application provides a virtual teaching platform compatible with intelligent teaching aids and a cross-disciplinary teaching method, and relates to the fields of virtual reality and teaching technology.The virtual teaching platform comprises a teaching aid linkage system, a physical system and a simulation system.The physical system comprises a physical teaching aid, a control module and an information acquisition module.The information acquisition module is used for collecting teaching information of the physical teaching aid in real time, and the control module is used for controlling the physical teaching aid to operate.The simulation system comprises a virtual teaching aid, a simulation engine and an information storage module.The virtual teaching aid is arranged corresponding to the physical teaching aid, the simulation engine is used for controlling the virtual teaching aid to perform simulation training, and the information storage module is used for storing historical test data of the virtual teaching aid.The application solves the problem of data disconnection between the physical teaching aid and the virtual environment, the control instruction of a student in the simulation engine can drive the real physical teaching aid to execute, and the physical teaching aid can also be mapped to the virtual teaching aid to synchronously operate.

The invention relates to the technical field of intelligent management of teaching data, and discloses a data management method of a teaching service platform based on cloud service. The method comprises the following steps: constructing a virtual teaching space model comprising a knowledge network, a learning behavior field and an evaluation plane, and injecting a multi-dimensional teaching data stream into the model to drive the dynamic evolution of the space state of the model. And based on the signal response of the evolved evaluation plane, performing joint root cause positioning in the knowledge network and the learning behavior field by using a problem positioning engine, and generating a structured teaching link abnormal path. And according to the path, matching and self-adaptively correcting an adjustment strategy, and finally generating a configuration updating instruction. According to the method, multi-dimensional dynamic modeling and automatic tracing of abnormal root causes in the teaching process are realized, and the accuracy of teaching problem diagnosis and the pertinence of an intervention strategy are improved.