Teaching evaluation method and system based on AI classroom behavior recognition
The invention relates to the technical field of education and teaching, in particular to a teaching evaluation method and system based on AI classroom behavior recognition. The method comprises the following steps: collecting and preprocessing a teaching video, and respectively extracting video stre...
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creator | WANG JUN YAN HE LI DUOWEN |
description | The invention relates to the technical field of education and teaching, in particular to a teaching evaluation method and system based on AI classroom behavior recognition. The method comprises the following steps: collecting and preprocessing a teaching video, and respectively extracting video streams and voices of the teaching video to be processed; carrying out target detection based on a YOLO target detection algorithm, obtaining all target objects in the teaching video, and determining the positions and types of the target objects; carrying out attitude analysis on all target objects in the teaching video by adopting a single camera based on an attitude evaluation algorithm, extracting features through relative positions of key points, analyzing actions of the target objects, and carrying out behavior recognition; and performing action recognition by adopting a trained full-connection neural network, and performing behavior statistics on the target object according to an S-T algorithm to obtain an analys |
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The method comprises the following steps: collecting and preprocessing a teaching video, and respectively extracting video streams and voices of the teaching video to be processed; carrying out target detection based on a YOLO target detection algorithm, obtaining all target objects in the teaching video, and determining the positions and types of the target objects; carrying out attitude analysis on all target objects in the teaching video by adopting a single camera based on an attitude evaluation algorithm, extracting features through relative positions of key points, analyzing actions of the target objects, and carrying out behavior recognition; and performing action recognition by adopting a trained full-connection neural network, and performing behavior statistics on the target object according to an S-T algorithm to obtain an analys</description><language>chi ; eng</language><subject>ACOUSTICS ; CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; MUSICAL INSTRUMENTS ; PHYSICS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230317&DB=EPODOC&CC=CN&NR=115810163A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25547,76298</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230317&DB=EPODOC&CC=CN&NR=115810163A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG JUN</creatorcontrib><creatorcontrib>YAN HE</creatorcontrib><creatorcontrib>LI DUOWEN</creatorcontrib><title>Teaching evaluation method and system based on AI classroom behavior recognition</title><description>The invention relates to the technical field of education and teaching, in particular to a teaching evaluation method and system based on AI classroom behavior recognition. The method comprises the following steps: collecting and preprocessing a teaching video, and respectively extracting video streams and voices of the teaching video to be processed; carrying out target detection based on a YOLO target detection algorithm, obtaining all target objects in the teaching video, and determining the positions and types of the target objects; carrying out attitude analysis on all target objects in the teaching video by adopting a single camera based on an attitude evaluation algorithm, extracting features through relative positions of key points, analyzing actions of the target objects, and carrying out behavior recognition; and performing action recognition by adopting a trained full-connection neural network, and performing behavior statistics on the target object according to an S-T algorithm to obtain an analys</description><subject>ACOUSTICS</subject><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>MUSICAL INSTRUMENTS</subject><subject>PHYSICS</subject><subject>SPEECH ANALYSIS OR SYNTHESIS</subject><subject>SPEECH OR AUDIO CODING OR DECODING</subject><subject>SPEECH OR VOICE PROCESSING</subject><subject>SPEECH RECOGNITION</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAgISU1MzsjMS1dILUvMKU0syczPU8hNLcnIT1FIzEtRKK4sLknNVUhKLE5NUQBKOXoqJOckFhcX5ecDRVMzEssy84sUilKT89PzMkGaeRhY0xJzilN5oTQ3g6Kba4izh25qQX58anFBYnJqXmpJvLOfoaGphaGBoZmxozExagCS-DdJ</recordid><startdate>20230317</startdate><enddate>20230317</enddate><creator>WANG JUN</creator><creator>YAN HE</creator><creator>LI DUOWEN</creator><scope>EVB</scope></search><sort><creationdate>20230317</creationdate><title>Teaching evaluation method and system based on AI classroom behavior recognition</title><author>WANG JUN ; YAN HE ; LI DUOWEN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115810163A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>ACOUSTICS</topic><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>MUSICAL INSTRUMENTS</topic><topic>PHYSICS</topic><topic>SPEECH ANALYSIS OR SYNTHESIS</topic><topic>SPEECH OR AUDIO CODING OR DECODING</topic><topic>SPEECH OR VOICE PROCESSING</topic><topic>SPEECH RECOGNITION</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>WANG JUN</creatorcontrib><creatorcontrib>YAN HE</creatorcontrib><creatorcontrib>LI DUOWEN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WANG JUN</au><au>YAN HE</au><au>LI DUOWEN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Teaching evaluation method and system based on AI classroom behavior recognition</title><date>2023-03-17</date><risdate>2023</risdate><abstract>The invention relates to the technical field of education and teaching, in particular to a teaching evaluation method and system based on AI classroom behavior recognition. The method comprises the following steps: collecting and preprocessing a teaching video, and respectively extracting video streams and voices of the teaching video to be processed; carrying out target detection based on a YOLO target detection algorithm, obtaining all target objects in the teaching video, and determining the positions and types of the target objects; carrying out attitude analysis on all target objects in the teaching video by adopting a single camera based on an attitude evaluation algorithm, extracting features through relative positions of key points, analyzing actions of the target objects, and carrying out behavior recognition; and performing action recognition by adopting a trained full-connection neural network, and performing behavior statistics on the target object according to an S-T algorithm to obtain an analys</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ACOUSTICS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Teaching evaluation method and system based on AI classroom behavior recognition |
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