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129 results about "Instructional video" patented technology
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Interactive three-dimensional teaching resource generation system and method based on 3D Gaussian splashing
ActiveCN121170164AInput/output for user-computer interactionGraph readingSequence reconstructionComputer graphics (images)
The invention discloses an interactive three-dimensional teaching resource generation system and method based on 3D Gaussian splashing, and belongs to the technical field of three-dimensional reconstruction, and the system comprises a multi-view image obtaining module which is used for extracting a multi-view image sequence related to a teaching theme from a teaching video resource, and determining the category of each structural region in each view image; the enhanced three-dimensional reconstruction module is used for reconstructing the multi-view image sequence into a three-dimensional teaching model; determining the anchor point attribute of each anchor point in the three-dimensional teaching model; the intelligent interaction module is used for acquiring a user instruction; determining a target anchor point according to the user instruction, and obtaining an anchor point attribute corresponding to the target anchor point; and the three-dimensional visualization module is used for performing rendering display on the three-dimensional teaching model and displaying the anchor point attribute corresponding to the target anchor point. The three-dimensional teaching model which has interaction capability and is subjected to structured knowledge labeling can be generated. The technical problem that a current three-dimensional model lacks intelligent interaction capability is solved.
Owner:HUAZHONG NORMAL UNIV
Hemodialysis teaching system based on AI intelligent pushing
The invention relates to the technical field of hemodialysis teaching systems, and discloses a hemodialysis teaching system based on AI intelligent pushing. The system comprises an operation feature extraction module, an instrument positioning analysis module, an operation step analysis module and a teaching strategy generation module. Operating a feature extraction module to obtain a hemodialysis teaching video stream, and extracting multi-modal features containing an instrument movement track sequence and physiological parameter simulation data; an instrument positioning analysis module calls a pre-training network for positioning and generates a coordinate data set containing instrument types and three-dimensional position coding mapping; the operation step analysis module analyzes the time sequence characteristics by means of an action segmentation model, and generates a result containing step integrity and an error operation mark; and the teaching strategy generation module inputs a result into the intelligent push model, plans a personalized teaching path, outputs a knowledge point sequence containing a student ability model and dynamic teaching elements of operation difficulty parameters, and assists the hemodialysis teaching to be precise and personalized.
Owner:晋江市医院(上海市第六人民医院福建医院)
Classroom teaching evaluation generation method and system based on multi-modal large model
The invention provides a classroom teaching evaluation generation method and system based on a multi-modal large model, and belongs to the technical field of artificial intelligence and education, and the method comprises the steps: S1, defining an analysis task; s2, setting unified prompt words for guiding model generation: role setting, core tasks and structure requirements; s3, performing fine adjustment on the detector by using the corresponding task domain target detection data set; and S4, integrating a detector, a region slice detection strategy, an optical character recognition technology, a voice recognition technology and a framework of a plurality of large models, taking a teaching video and a corresponding audio as input of the classroom teaching evaluation model, and outputting a structured teaching evaluation analysis report. According to the method provided by the invention, a better effect is obtained on various evaluation standards, the quality of an evaluation report is higher, and the method can be expanded to any classroom scene only by replacing or finely adjusting a detector capable of adapting to a new scene, so that efficient and low-cost framework migration is realized, and meanwhile, high performance is ensured.
Owner:BEIHANG UNIV
Student classroom behavior analysis method and device, electronic equipment and storage medium
PendingCN121033926ACharacter and pattern recognitionBiological modelsComputer graphics (images)Engineering
The invention provides a student classroom behavior analysis method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence education application. The method comprises the following steps: coding selected video clips of samples of a sample classroom teaching video to obtain a sample image block vector sequence; generating a sample state accumulation vector according to the continuous concentration fragment number and the continuous non-concentration fragment number; performing visual coding on the sample image block vector sequence and the sample state accumulation vector through an initial visual conversion encoder, performing convolution classification on the obtained sample spatial-temporal feature tensor to obtain a sample fragment concentration prediction category, and training the initial visual conversion encoder to obtain a target visual conversion encoder; and performing visual coding on the target classroom teaching video clip through a target visual conversion encoder, and performing convolution classification on the obtained target spatial-temporal feature tensor to obtain a target clip concentration prediction category. The analysis accuracy and efficiency can be improved.
Owner:SOUTHERN UNIVERSITY OF SCIENCE AND TECHNOLOGY
Video playing device
Owner:东营职业学院
Multimodal automatic teaching video generation method and system based on intermediate file
PendingCN121099150ATelevision system detailsColor television detailsDocument transformationEngineering
The invention discloses a multi-modal automatic teaching video generation method and system based on an intermediate file. The analysis module is used for extracting texts and pictures from documents input by a user and constructing a searchable knowledge base. The content generation module retrieves related teaching content texts according to knowledge points specified by a user through calling of a two-stage large language model, and generates an explanation first draft in a free format; and retrieving related pictures, performing format conversion, and combining with the explaining first draft to generate a structured JSON file. The format conversion module is used for converting the JSON file into an intermediate file which can be read by human and can be analyzed by a machine through a predefined template engine; the collaborative review module presents the intermediate file to a user and receives a modification instruction; and the synchronous updating module performs reverse analysis and grammar verification, and updates the original structured data according to the changed content. The material generation module generates corresponding audio and image materials; and the video synthesis module synthesizes the materials into a video file and outputs the video file.
Owner:HANGZHOU DIANZI UNIVERSTIY INFORMATION ENG SCHOOL
Foreign language teaching video generation method and apparatus
The present invention provides a foreign language teaching video generation method and apparatus. The foreign language teaching video generation method comprises: acquiring video subtitle text corresponding to a video to be processed; on the basis of the video subtitle text and a preset explanation generation rule, using a large language model to generate foreign language teaching explanation text of the video subtitle text; generating a corresponding explanation audio on the basis of the foreign language teaching explanation text; determining a time information relationship between the foreign language teaching explanation text and the explanation audio; on the basis of the time information relationship between the foreign language teaching explanation text and the explanation audio, generating a display style corresponding to the explanation audio; and on the basis of the explanation audio, the display style corresponding to the explanation audio, and the time information relationship between the explanation text and the explanation audio, generating an explanation video corresponding to the video to be processed. In the present invention, a target teaching video corresponding to a video to be processed can be automatically generated, and the generated teaching video is highly targeted, so that the personalized requirements of users can be met.
Owner:JIANG QIUSHI
Intelligent management method for AI big data
PendingCN121616888ACharacter and pattern recognitionBiological modelsEngineeringIntelligent management
The invention discloses an intelligent management method for AI big data, and relates to the technical field of AI video management, and the method comprises the steps: collecting teaching video data, and marking teaching behavior guiding key points; training a knowledge point association model based on the annotated data, extracting video frame feature recognition key points, and generating a key point motion trail; constructing a knowledge point graph, and performing correlation calculation on the key points and the knowledge points to obtain correlation degree factors; calculating a dynamic parameter based on the key point trajectory data, and integrating a correlation factor to optimize a parameter value; defining abnormal video segments, marking video segments deviating from a threshold value through an anomaly detection algorithm, and automatically isolating and deleting the video segments; collecting user behavior data to construct a user portrait, and constructing a user learning path according to the knowledge point graph and the user portrait; calculating a basic matching score of the video segment and the learning path, and obtaining a final matching score through dynamic parameter weighting; and according to the final matching score, dividing the video segment into three storage levels and storing the three storage levels into corresponding storage layers.
Owner:BEIJING XIAONIAN TECHNOLOGY CO LTD
Cognitive diagnosis method and model based on emotional state
The invention relates to the technical field of intelligent education, in particular to a cognitive diagnosis method and model based on an emotional state, and the model comprises a multi-modal information feature extraction module, a feature alignment layer, a modal selection layer, a self-adaptive super-modal learning layer and a cross-modal fusion conversion layer which are cascaded. The method comprises the following steps: extracting emotion-related multi-modal features from a teaching video, and obtaining knowledge point information corresponding to the emotion-related multi-modal features; the extracted multi-modal features are projected to a unified low-dimensional space, so that data are in the same dimension, and preparation is made for subsequent fusion; adaptively selecting a main mode and an auxiliary mode; emotional semantic expression is formed through information interaction between the main mode and the auxiliary mode; and fusing the main mode and the super-mode state to generate a unified super-mode state representing the emotion cognitive state of the student. The problem that cognitive diagnosis in the prior art is not comprehensive enough is solved, and the method has the advantages of being high in accuracy and applicability.
Owner:GUANGDONG UNIV OF TECH
Progressive multi-mode semantic alignment teaching video content extraction method
ActiveCN121214299AData processing applicationsCharacter and pattern recognitionSemantic alignmentFeature extraction
The invention discloses a progressive multi-modal semantic alignment teaching video content extraction method, and belongs to the technical field of video abstract generation, and the method comprises the steps: sampling an education video, and obtaining a video frame sequence and a corresponding sentence sequence; inputting the video frame sequence into a visual feature extraction model to obtain video frame feature representation, and inputting the sentence sequence into a text feature extraction model to obtain sentence feature representation; establishing a progressive multi-mode semantic alignment model; and inputting the video frame sequence, the sentence sequence, the video frame feature representation and the sentence feature representation obtained from the teaching video to be extracted into the progressive multi-mode semantic alignment model to obtain a fine-grained video frame abstract set and a fine-grained text abstract set, namely abstract contents extracted from the teaching video. According to the method, semantic association among multiple modes can be effectively utilized, and more accurate and smooth teaching video abstract content can be generated.
Owner:ZHEJIANG UNIV OF TECH
Learning resource recommendation system based on deep learning
PendingCN121479057ADigital data information retrievalData processing applicationsData capacityEngineering
The invention discloses a learning resource recommendation system based on deep learning, and relates to the technical field of resource recommendation, an online learning service module is arranged to provide online learning resource watching service for students, and a monitoring and recording module is arranged to record pull-back operation executed by learning resources. A pull-back analysis module is arranged to analyze pull-back monitoring data for all learning resources; in the analysis process, aiming at any learning resource, all knowledge points with recommendation qualification in the learning resource are judged by analyzing a plurality of knowledge points involved when the student executes the pull-back operation on the learning resource and the data capacity of the teaching video of the knowledge points; the online learning service module recommends the corresponding knowledge points to the students for all the knowledge points with the recommendation qualification in the learning resource playing process, so that the problem of time waste caused by repeatedly pulling back the same section of low-efficiency explanation by the students can be effectively reduced, and the students are helped to improve the learning efficiency.
Owner:NANCHANG NORMAL UNIV
system
We provide the system. [Solution] A means of presenting instructional videos selected by the user, Means for recording user imitation behavior, A means for comparing recorded imitative behavior with instructional videos to generate evaluations and areas for improvement, A means of presenting evaluations and areas for improvement to users, When imitative behavior meets the evaluation criteria, a means of providing a setting for interactive training is provided. A system that includes this.
Owner:SOFTBANK GROUP CORP
Intelligent video learning engine and multi-level knowledge point real-time positioning method thereof
ActiveCN121170679ACharacter and pattern recognitionBiological modelsComputer graphics (images)Engineering
The invention relates to the technical field of video mode recognition, in particular to an intelligent video learning engine and a multi-level knowledge point real-time positioning method thereof. The method comprises the following steps: firstly, acquiring a change coefficient of each pixel point in each frame of image according to picture content change between adjacent frames of a learning video; the real-time change distance between the pixel points is further obtained according to the time sequence fluctuation difference of the change coefficients, and iteration windowing is carried out; segmenting the learning video according to the distribution of the change coefficients of the pixel points in the real-time image in combination with the synchronization factor; further removing video segmentation points according to the continuity of the text content; and finally, constructing an interactive knowledge point tree according to a video segmentation result in combination with the text content. According to the method, the teaching video paragraphs are intelligently divided by fusing picture change analysis and text semantic continuity verification, and finally the interactive knowledge point tree is constructed, so that accurate positioning and efficient navigation of learning contents are realized.
Owner:CHINA OPEN UNIV PRESS CO LTD
Accessing and viewing organized resources in digital learning material through data filtering
PCT designated stageWO2026013678A1Digital data information retrievalData processing applicationsPersonalizationKnowledge management
5 Embodiments disclose a system and method for simplifying access and viewing of a variety of digital learning meta resources. Utilizing advanced filtration based on categorized resource data, the system efficiently organizes content for effortless retrieval. It provides users with a personalized approach to accessing educational 10 digital resource content, thereby improving accessibility and organization within digital meta learning materials. The available resources encompass images, sets of related pictures, various types of videos such as teaching and concept videos, keywords, tables, and more. With its innovative filtering features, the system aims to revolutionize the learning experience, making education more accessible, engaging, 15 and impactful for students worldwide.
Owner:KAKUMANU SARATH +2
Teaching audio and video transmission method and device, equipment and storage medium
The invention relates to a teaching audio and video transmission method and device, equipment and a storage medium, and the method comprises the steps: obtaining teaching audio data and teaching video data in response to teaching video recording, and carrying out the coding to obtain a teaching audio data stream and a teaching video data stream; interweaving the teaching audio data stream and the teaching video data stream according to a timeline, and determining teaching audio and video fragment data; and transmitting the teaching audio and video fragment data to a cloud server in real time, and storing the teaching audio and video fragment data in real time by the cloud server to obtain a teaching video supporting playback. According to the method, recording while uploading and storage and play can be supported, the waiting period of recording, transcoding, uploading and publishing can be shortened, and the teaching efficiency and the interaction timeliness are improved. Meanwhile, a fragmented data transmission mechanism enhances the adaptability to network fluctuation, solves the problem of sound and picture synchronization, improves the stability and reliability of transmission, and improves the user experience during playing.
Owner:BEIJING CHUANGYING ORIENTAL TECHNOLOGY CO LTD
A teaching video super-resolution reconstruction method and system based on cross-modal feature fusion
The application discloses a teaching video super-resolution reconstruction method and system based on cross-modal feature fusion, and belongs to the field of computer vision. In view of the problems of low resolution, detail loss, inter-frame jitter and large amount of calculation of the existing teaching video, the application obtains a low-resolution video frame and G-buffer information thereof; in the encoding stage, the cross-channel feature interaction rearrangement and point-by-point product are used to obtain the encoding feature; in the decoding stage, the encoding feature and the G-buffer information are taken as the SS2D module of the Mamba network to perform global space-time feature extraction, and the point-by-point product fusion of the decoding output of the previous frame and the current frame SS2D output is performed; finally, the sub-pixel convolution upsampling is performed to generate a high-resolution frame. The application fuses multi-modal physical information, significantly improves the reconstruction clarity and timing stability of key elements such as board writing and teaching aids, has small parameter quantity and low delay, supports real-time processing, reduces privacy risk based on low-resolution reconstruction, and is suitable for teaching video enhancement and analysis scenes.
Owner:ANHUI POLYTECHNIC UNIV MECHANICAL & ELECTRICAL COLLEGE
A progressive multi-modal semantic alignment teaching video content extraction method
ActiveCN121214299BData processing applicationsCharacter and pattern recognitionSemantic alignmentFeature extraction
The application discloses a kind of progressive multimodal semantic alignment's teaching video content extraction method, belong to video abstract generation technical field, including: sampling education video, obtain video frame sequence and corresponding sentence sequence;Video frame sequence is input into visual feature extraction model to obtain video frame feature representation, sentence sequence is input into text feature extraction model to obtain sentence feature representation;Establish progressive multimodal semantic alignment model;The video frame sequence, sentence sequence, video frame feature representation and sentence feature representation obtained by the teaching video to be extracted are input into progressive multimodal semantic alignment model, obtain fine-grained video frame abstract set and fine-grained text abstract set, that is, the abstract content extracted from teaching video.The method can effectively utilize the semantic association between multi-modal, generate more accurate, smooth teaching video abstract content.
Owner:ZHEJIANG UNIV OF TECH
Practical training teaching video intelligent analysis and knowledge point automatic marking method and system based on multi-modal fusion
The invention provides a training teaching video intelligent analysis and knowledge point automatic marking method based on multi-modal fusion, and the method comprises the steps: collecting multi-modal data in a training teaching process, and carrying out the time alignment processing; extracting feature information of the modal data, fusing the feature information through a cross-modal fusion architecture, and generating a unified teaching behavior representation vector; based on the teaching behavior representation vector, identifying operation steps in the practical teaching process through a sequence labeling model, and determining the category and the starting and ending time boundary of each operation step; matching the identified operation steps with a preset skill knowledge base, and generating a standardized knowledge point label containing knowledge point content, starting and ending timestamps and confidence information; and storing the standardized knowledge point labels into a database, and constructing a retrieval index. According to the invention, the unstructured teaching video is converted into a searchable, navigable and analyzable knowledge unit, and automatic identification and structured marking of practical teaching operation are realized.
Owner:SHENZHEN POLYTECHNIC
An image processing-based motion posture evaluation system and method
ActiveCN119580346BData processing applicationsCharacter and pattern recognitionImaging processingComputer graphics (images)
The application discloses a kind of motion posture evaluation system and method based on image processing, it is related to motion posture evaluation technical field, including the motion video of student, the motion approximation between evaluation motion video and teaching video is obtained reference teaching video;Reference teaching video is obtained to the motion video, the reference image set of reference teaching video is generated, the posture abnormality degree of posture image frame in posture image set is evaluated, and abnormal posture image frame is obtained;Abnormal posture image frame in posture image set is obtained, the position data of motion key point in abnormal posture image frame is obtained, and posture abnormality of motion key point in abnormal posture image frame is evaluated in combination with reference image set, and motion posture abnormality data is obtained;Motion posture abnormality data of motion video is obtained, and according to motion posture abnormality data, the motion posture adjustment data of student is generated, and the motion posture of student is intelligently adjusted.
Owner:SHANGHAI JIUJIUDONG INFORMATION TECHNOLOGY CO LTD
An intelligent system capable of realizing personalized makeup teaching and application thereof
The application discloses an intelligent system capable of realizing individualized makeup teaching and application thereof, and the intelligent system comprises a video library provided with a plurality of classified makeup teaching video items with semantic classification labels, a classified makeup image library composed of a plurality of video frame images from the classified makeup teaching video items in the video library and with corresponding semantic classification labels, a face image acquisition module, a face feature analysis module, an adaptive makeup analysis module, a virtual makeup module and a video teaching module. The application can not only realize customization of individualized makeup, but also ensure that the customized individualized makeup has accurate corresponding teaching videos, and the customized individualized makeup can be effectively implemented, and the customized makeup effect is highly consistent with the learned makeup effect, so that the problem of difference between the actual makeup and the recommended makeup can be avoided, and people can easily and quickly obtain individualized makeup guidance suitable for themselves, and the application has a significant application prospect.
Owner:FUDAN UNIVERSITY
Man-machine hybrid enhanced teacher classroom teaching behavior analysis index category discovery method and system
PendingCN121837740ACharacter and pattern recognitionBiological modelsPositive sampleFeature extraction
The invention relates to a man-machine hybrid enhanced teacher classroom teaching behavior analysis index category discovery method, and belongs to the technical field of intelligent education. The method comprises the following steps: guiding subsequent model training through known index category data obtained by educational expert knowledge; processing the video clip through time consistency data enhancement to generate an initial positive sample pair; a collaborative framework is designed, and the new category discovery capability and the overall category distinguishing performance under complex distribution and semantic bias conditions are improved; selecting an optimal feature extraction model, and estimating the number of index categories; and performing feature extraction on unmarked data through the trained feature extraction model to obtain a data feature space, and performing clustering reasoning to realize old class identification and new class discovery of teacher behavior index classes. According to the invention, through a man-machine hybrid enhanced intelligence mechanism, the teacher behavior index category with educational significance is automatically found from the teaching video data, and objective and quantifiable data support is provided for teaching evaluation.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Instruction generation using one or more neural networks
PendingUS20260154955A1Cosmonautic condition simulationsCharacter and pattern recognitionTheoretical computer scienceNeural network nn
Apparatuses, systems, and techniques are presented for generating instructional text. In at least one embodiment, an instructional video is analyzed to determine logical steps of a process or task demonstrated in that video, and instructive text is generated for those logical steps.
Owner:NVIDIA CORP
Teaching video recommendation method, system, equipment and medium
The invention provides a teaching video recommendation method, system and device and a medium. The method comprises the following steps: acquiring a to-be-analyzed target teaching video; performing voice recognition on the target teaching video to generate a teaching text; inputting the teaching text into an education identification model, and extracting a teaching theme in the teaching text; wherein the education identification model is a large language model; inputting the teaching theme into the sentence embedding model, and mapping the teaching theme into a target semantic vector; and calculating the semantic similarity between the target semantic vector and the semantic vector of each candidate teaching theme in a vector database, and selecting teaching videos corresponding to the candidate teaching themes of which the semantic similarity is greater than a preset similarity threshold for recommendation. According to the invention, the accuracy of video recommendation is improved, and the manual screening cost can be greatly reduced, so that the teaching video required by the user can be recommended to the user more accurately and quickly.
Owner:SHANGHAI QIAOCHUANG TECH CO LTD
Outdoor sports teaching method, device and equipment and storage medium
The invention relates to the technical field of video processing, in particular to an outdoor sports teaching method, device and equipment and a storage medium, and the method comprises the steps: inputting initial multi-modal teaching data into a reinforcement learning task model for processing, and obtaining a target teaching video; comparing the target teaching video with the student action video to obtain a comparison result, and generating a teaching suggestion based on the comparison result; the training of the reinforcement learning task model comprises the following steps: training a basic learning cognitive model based on initial multi-modal teaching data to obtain a multi-modal closed-loop simulation generation model; processing the initial multi-modal teaching data based on a multi-modal closed-loop simulation generation model to obtain a to-be-compared teaching video; comparing the to-be-compared teaching video with the model teaching video to determine a target point location action video segment in the model teaching video; and training a multi-modal closed-loop simulation generation model based on the target point location action video segment and the initial multi-modal teaching data to obtain a reinforcement learning task model. And the accuracy of video output and teaching suggestions of the model can be improved.
Owner:QILINSONG INTELLIGENT TECHNOLOGY (SUZHOU) CO LTD
Hemodialysis teaching system based on AI intelligent pushing
The application relates to the technical field of hemodialysis teaching systems, and discloses a hemodialysis teaching system based on AI intelligent pushing. The system comprises four modules, namely, an operation feature extraction module, an instrument positioning analysis module, an operation step analysis module and a teaching strategy generation module. The operation feature extraction module acquires a hemodialysis teaching video stream and extracts multi-modal features containing instrument motion trajectory sequences and physiological parameter simulation data; the instrument positioning analysis module calls a pre-trained network for positioning and generates a coordinate data set containing instrument type and three-dimensional position encoding mapping; the operation step analysis module analyzes time sequence features by using a motion segmentation model and generates a result containing step integrity and error operation labels; and the teaching strategy generation module inputs the result into an intelligent pushing model, plans a personalized teaching path, outputs dynamic teaching elements containing a knowledge point sequence of a student ability model and operation difficulty parameters, and helps to realize precise and personalized hemodialysis teaching.
Owner:晋江市医院(上海市第六人民医院福建医院)
system
PendingJP2026062223AData processing applicationsSelective content distributionQuestion generationStudy plan
Provide a system. 【Solution means】Means for tracking the progress data of learners, Means for generating a lecture video optimized based on the progress data, Means for distributing the lecture video to learners, Means for automatically generating a small test or a regular test for learners, Means for performing OCR processing on the answers of the test, Means for automatically grading the OCR-processed answers, Means for generating appropriate answers to the questions of learners, Means for providing the most suitable teaching materials and learning plans for learners, A system including.
Owner:SOFTBANK GROUP CORP
Teaching video generation method and device, electronic equipment and storage medium
PendingCN121685706AEditing/combining figures or textCreation/generation of source codeUser inputSoftware engineering
The embodiment of the invention provides a teaching video generation method and device, electronic equipment and a storage medium. The method comprises the following steps: receiving target query information input by a user; generating a target code file according to the target query information; and according to the target code file, determining and outputting a target teaching video for the target query information. According to the embodiment of the invention, the teaching video can be automatically generated based on the requirements of the user, so that the teaching video generation efficiency is improved, and the wide propagation of knowledge is promoted.
Owner:BEIJING CO WHEELS TECH CO LTD
A classroom recording video-oriented teacher inappropriate gesture detection method and system
ActiveCN115909493BData processing applicationsCharacter and pattern recognitionNerve networkComputer graphics (images)
The present application relates to the field of image recognition, and provides a teacher improper gesture detection method and system for classroom recording video, which comprises the following steps: (1) effective picture acquisition, loading classroom recording video resources for training, screening effective video segments and converting them into pictures, applying a character detection model to identify the identity of the teacher, screening and retaining effective pictures containing the teacher; (2) gesture detection model training, inputting original picture data into a neural network, extracting gesture features for model training, and saving the trained model as a gesture detection model; (3) improper gesture judgment, applying the trained gesture detection model to detect the pictures converted from the video one by one. The present application automatically identifies and intelligently judges the improper gesture behavior of the teacher in the teaching video resources, realizes intelligent monitoring and accurate evaluation in teaching in the teaching video resources, and provides support for high-quality digital course resource construction.
Owner:HUAZHONG NORMAL UNIV
Classroom student attention assessment method, device and equipment and storage medium
PendingCN121961787AData processing applicationsCharacter and pattern recognitionFeature extractionMedicine
The invention provides a classroom student attention assessment method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence education application. The method comprises the following steps: acquiring a classroom teaching video clip; carrying out individual segmentation on the student individual masks to obtain a plurality of student individual masks, and then extracting initial individual part motion features of the part of each student individual in a time window; performing splicing according to the initial individual part motion features to obtain spliced fusion features, and then generating target individual part motion features of the part of each student individual; performing feature extraction on the target individual part motion features to obtain individual part attention features; and according to the attention features of the individual parts, individual attention scores of the student individuals are calculated, and then group aggregation calculation is carried out to obtain group attention scores of the whole classroom. According to the invention, the accuracy and stability of evaluating the attention of the students in the classroom can be improved.
Owner:SOUTHERN UNIVERSITY OF SCIENCE AND TECHNOLOGY