87 results about "Virtual teaching" patented technology

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 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 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 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 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.

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 provides a virtual simulation teaching system for ship motion control, which belongs to the technical field of virtual simulation and comprises an interface management module, an experimental project management module, a Unity-based 3D visual module, a control module, a student data and experimental data management module and a mathematical model and algorithm module. By constructing a marine experimental environment and a virtual teaching environment with high real scene feeling and high simulation degree, a ship can dynamically interact with sea waves, and the effect of a control algorithm when the ship sails in the ocean can be displayed in a multi-view manner in response to an instruction of a controller in MATLAB software. A user can deeply understand the ship motion principle through the platform, and can autonomously establish a ship motion mathematical model and a controller of any structure in MATLAB software, which is not limited to modification of specific parameters, verification and observation in a virtual platform, and can be widely applied to the field of ship motion teaching. Therefore, ship motion mathematical modeling is mastered in a high-immersion experiment environment, and the design capability of a controller and a control system is improved.

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.

1. The name of the design product: virtual tutorial teaching graphical user interface of electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the interface content in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The product carrier is the conventional design, and the rear view, left view, right view, top view, and bottom view are omitted. 6. The use of the graphical user interface: for virtual teaching assistance. 7. The human-computer interaction mode of the graphical user interface: the front view is a classroom interface with interesting questions, each portrait in the interface represents a subject, in the interface, slide any portrait to the center of the screen to select the portrait, then click "Confirm Selection" to enter change state diagram 1, the question and answer interface of the subject represented by the portrait, in the interface, click the "Microphone" icon below the interface to input your question through voice and enter change state diagram 2 for interaction.

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 discloses an immersive online teaching system based on element universe, relates to the technical field of online teaching, and provides a high-precision teaching system formed by constructing a three-dimensional modeling module, a particle force field simulation module, a light effect simulation module and a comprehensive evaluation module. Through carrying out structure labeling on a key assembly area, introducing a microscopic particle force field to realize a real physical response, dynamically generating an optical behavior based on particle distribution, and fusing real-time error analysis and graded teaching intervention, the problems of assembly mode penetration, lighting effect distortion and feedback lag in a traditional system are effectively solved. And the interactive authenticity, the operation accuracy and the teaching intelligence level of virtual teaching are remarkably improved.

The present invention discloses a VR teaching experience enhancement system and method, which belongs to the field of virtual teaching technology. The method specifically includes: collecting position data and posture data of trainees in the VR environment, constructing a multi-user coordinated interaction model based on the position data and posture data of the trainees in the VR environment, identifying the interaction relationship and interaction events between the trainees, generating tactile feedback data corresponding to the interaction events based on the interaction events, performing calibration processing on the tactile feedback data, and synchronously sending the calibrated tactile feedback data to the trainee's VR device, the calibration processing including adjusting the tactile feedback data based on the spatial propagation difference amount and tactile feedback time offset value of the trainee; the present application enables multiple trainees to obtain consistent, real-time tactile response and spatial perception when collaboratively operating the same virtual object or scene, thereby improving the teaching experience in multi-person collaborative scenarios.

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.

The invention discloses an animal anatomy virtual simulation teaching system, and belongs to the technical field of animal anatomy simulation teaching. Comprising a central data bus, and a modal data acquisition and processing module, a species adaptive model establishment module, a dynamic physiological behavior simulation module, a tactile feedback interaction enhancement module, an ecological behavior pathology simulation module, a teaching content management and evaluation module and a distributed cooperation module which communicate with the central data bus. According to the invention, by collecting CT, MRI, laser scanning, motion capture and biomechanical sensing multi-source data, a multi-species anatomical model is constructed, physiological linkage, tissue touch, pathological behaviors and ecological reactions are simulated, multi-user collaborative operation and ethical evaluation are supported, and a high-immersion, high-interaction and high-adaptation virtual teaching environment is realized.

The present invention discloses a digital twin-based virtual teaching data interaction method and system. The method includes obtaining audio and video data; determining a fluctuation range based on the data to obtain a change type; clustering the data according to the change type to obtain a clustering data set and isolated digital information; constructing a digital twin virtual teaching model; simulating the isolated digital information to obtain an output change amount and performing parameter settings; determining the data abnormality degree and combining the prediction accuracy rate of the digital twin virtual teaching model to formulate a virtual teaching data interaction decision. This method can improve the accuracy of virtual teaching data interaction decisions.

The invention relates to a multimedia teaching method and system based on virtual reality, and the method comprises the steps: constructing a virtual teaching scene containing a teaching object and a light source, and obtaining the interaction data of a learner; for a teaching object meeting a preset attention condition, calculating a half-path vector of a sampling point on the surface of the teaching object, and when a learner performs specific observation interaction on the object, adjusting a specular reflection visual parameter of the half-path vector; adjusting a calculation parameter set and a coloring contribution weight of a geometric shielding function of the teaching object according to a preset teaching target of the teaching object and the state of the learner; dividing teaching objects into a core rendering group and an auxiliary rendering group based on teaching importance and interactive focuses of learners; the core group object adopts full-precision illumination containing complete geometric shielding function calculation, and the auxiliary group object adopts simplified illumination; the grouping state is dynamically updated along with the learning module and interactive focus transfer; and rendering the visual performance of the teaching object, and displaying the visual performance through virtual reality equipment.