{"id":"https://openalex.org/W4399173624","doi":"https://doi.org/10.1145/3660043.3660221","title":"An Effective Approach to Intelligent Teaching Platform Design Using Advanced Skeleton-Based Action Recognition Algorithm","display_name":"An Effective Approach to Intelligent Teaching Platform Design Using Advanced Skeleton-Based Action Recognition Algorithm","publication_year":2023,"publication_date":"2023-12-22","ids":{"openalex":"https://openalex.org/W4399173624","doi":"https://doi.org/10.1145/3660043.3660221"},"language":"en","primary_location":{"id":"doi:10.1145/3660043.3660221","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3660043.3660221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056152797","display_name":"Jianhua Hu","orcid":"https://orcid.org/0000-0003-3205-9552"},"institutions":[{"id":"https://openalex.org/I32820368","display_name":"Guangdong Polytechnic of Science and Technology","ror":"https://ror.org/01wq2p249","country_code":"CN","type":"education","lineage":["https://openalex.org/I32820368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhua Hu","raw_affiliation_strings":["Guangdong Polytechnic of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Polytechnic of Science and Technology, China","institution_ids":["https://openalex.org/I32820368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015469686","display_name":"Jun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I32820368","display_name":"Guangdong Polytechnic of Science and Technology","ror":"https://ror.org/01wq2p249","country_code":"CN","type":"education","lineage":["https://openalex.org/I32820368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Guangdong Polytechnic of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Polytechnic of Science and Technology, China","institution_ids":["https://openalex.org/I32820368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101430135","display_name":"Wei Nie","orcid":"https://orcid.org/0000-0003-0060-9863"},"institutions":[{"id":"https://openalex.org/I32820368","display_name":"Guangdong Polytechnic of Science and Technology","ror":"https://ror.org/01wq2p249","country_code":"CN","type":"education","lineage":["https://openalex.org/I32820368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nie Wei","raw_affiliation_strings":["Guangdong Polytechnic of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Polytechnic of Science and Technology, China","institution_ids":["https://openalex.org/I32820368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004040036","display_name":"Y. P. Zhong","orcid":"https://orcid.org/0009-0007-0676-8378"},"institutions":[{"id":"https://openalex.org/I32820368","display_name":"Guangdong Polytechnic of Science and Technology","ror":"https://ror.org/01wq2p249","country_code":"CN","type":"education","lineage":["https://openalex.org/I32820368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfeng Zhong","raw_affiliation_strings":["Guangdong Polytechnic of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Polytechnic of Science and Technology, China","institution_ids":["https://openalex.org/I32820368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078466879","display_name":"Haojie Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I32820368","display_name":"Guangdong Polytechnic of Science and Technology","ror":"https://ror.org/01wq2p249","country_code":"CN","type":"education","lineage":["https://openalex.org/I32820368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojie Fang","raw_affiliation_strings":["Guangdong Polytechnic of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Polytechnic of Science and Technology, China","institution_ids":["https://openalex.org/I32820368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022702387","display_name":"Guixiang Luo","orcid":"https://orcid.org/0009-0008-9979-3069"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixiang Luo","raw_affiliation_strings":["Guangdong Polytechnic Normal University, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Polytechnic Normal University, China","institution_ids":["https://openalex.org/I4210122543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5056152797"],"corresponding_institution_ids":["https://openalex.org/I32820368"],"apc_list":null,"apc_paid":null,"fwci":0.1201,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47458623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"998","last_page":"1002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7670130729675293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.568904459476471},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5529678463935852},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5330364108085632},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4858269691467285},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4775696396827698},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4658931493759155},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4518236815929413},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43732500076293945},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.427898108959198},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4191465973854065},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1263471245765686},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.11859166622161865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7670130729675293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.568904459476471},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5529678463935852},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5330364108085632},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4858269691467285},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4775696396827698},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4658931493759155},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4518236815929413},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43732500076293945},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.427898108959198},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4191465973854065},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1263471245765686},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.11859166622161865},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3660043.3660221","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3660043.3660221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W203345490","https://openalex.org/W2048821851","https://openalex.org/W2143267104","https://openalex.org/W2510185399","https://openalex.org/W2604321021","https://openalex.org/W2612707971","https://openalex.org/W2613570903","https://openalex.org/W2784435047","https://openalex.org/W2950568498","https://openalex.org/W2952587893","https://openalex.org/W2964134613","https://openalex.org/W2996249958","https://openalex.org/W3092336341","https://openalex.org/W3186127753","https://openalex.org/W4252964922","https://openalex.org/W4281249524","https://openalex.org/W4306177316","https://openalex.org/W6794306800"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735","https://openalex.org/W2004108207"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"action":[3,24,41,59],"recognition":[4,25,42,46,60,123],"has":[5,12,164],"become":[6],"a":[7,14,22,28,55],"hot":[8],"research":[9],"topic":[10],"and":[11,27,53,71,84,93,108,112,167,183],"made":[13],"series":[15],"of":[16,38,78,151],"significant":[17],"breakthroughs.":[18],"This":[19,65,96],"paper":[20,97,130,163],"introduces":[21],"skeleton-based":[23,40],"approach":[26,66],"real-time":[29,140,147,168],"interaction":[30,104,141,150],"system.":[31],"The":[32],"system":[33],"leverages":[34],"the":[35,39,81,86,114,120,125,158],"fast":[36],"speed":[37],"method,":[43],"utilizes":[44],"pose":[45],"algorithms":[47],"to":[48,88,178],"extract":[49],"gesture":[50],"joint":[51],"points,":[52],"establishes":[54],"spatiotemporal":[56,82],"graph":[57],"convolutional":[58],"method":[61,126,159],"for":[62,139,173],"model":[63,87],"training.":[64],"can":[67],"automatically":[68],"learn":[69],"spatial":[70],"temporal":[72],"patterns":[73],"from":[74],"data,":[75],"achieve":[76],"integration":[77],"information":[79],"in":[80,128,146,161,175],"dimension,":[83],"enable":[85],"possess":[89],"strong":[90],"expressive":[91],"power":[92],"generalization":[94],"ability.":[95],"recognizes":[98],"body":[99,106,152],"movements,":[100],"incorporates":[101],"bodily":[102,148],"sensing":[103,149],"between":[105],"movements":[107],"classroom":[109,115,176],"teaching":[110,116,177],"answers,":[111],"gamifies":[113],"process.":[117],"Tested":[118],"on":[119],"NTU-RGB+D":[121],"skeleton":[122],"dataset,":[124],"proposed":[127,160],"this":[129,162],"compares":[131],"favorably":[132],"with":[133],"mainstream":[134],"methods":[135],"while":[136],"being":[137],"optimized":[138],"scenarios,":[142],"yielding":[143],"positive":[144],"results":[145,155],"movements.":[153],"Experimental":[154],"demonstrate":[156],"that":[157],"high":[165],"accuracy":[166],"performance,":[169],"making":[170],"it":[171],"effective":[172],"use":[174],"enhance":[179],"students'":[180],"learning":[181],"effects":[182],"participation.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}