{"id":"https://openalex.org/W4206997695","doi":"https://doi.org/10.1109/tale52509.2021.9678711","title":"A domain adaptive and continual learning method for skeleton behavior recognition in classroom environment","display_name":"A domain adaptive and continual learning method for skeleton behavior recognition in classroom environment","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4206997695","doi":"https://doi.org/10.1109/tale52509.2021.9678711"},"language":"en","primary_location":{"id":"doi:10.1109/tale52509.2021.9678711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tale52509.2021.9678711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Engineering, Technology &amp; Education (TALE)","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/A5062748363","display_name":"Qiuyan Yan","orcid":"https://orcid.org/0000-0002-5159-4633"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuyan Yan","raw_affiliation_strings":["School of Computer Science Technology, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Technology, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031731760","display_name":"Yan Hu","orcid":"https://orcid.org/0000-0002-0048-3474"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Hu","raw_affiliation_strings":["School of Computer Science Technology, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Technology, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103027472","display_name":"Guan Huang","orcid":"https://orcid.org/0000-0001-5172-9203"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan Huang","raw_affiliation_strings":["School of Computer Science Technology, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Technology, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086723250","display_name":"Zefang Chen","orcid":"https://orcid.org/0009-0007-3762-3403"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zefang Chen","raw_affiliation_strings":["School of Computer Science Technology, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Technology, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21107356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"114","issue":null,"first_page":"138","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9801999926567078,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7393384575843811},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.616953432559967},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.6020593047142029},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.58072429895401},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.5619016289710999},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5017228126525879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4963293671607971},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47960102558135986},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.4662811756134033},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.43158021569252014},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3259744644165039},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10558637976646423},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08237817883491516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7393384575843811},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.616953432559967},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.6020593047142029},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.58072429895401},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.5619016289710999},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5017228126525879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4963293671607971},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47960102558135986},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.4662811756134033},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.43158021569252014},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3259744644165039},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10558637976646423},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08237817883491516},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tale52509.2021.9678711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tale52509.2021.9678711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Engineering, Technology &amp; Education (TALE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G6660167642","display_name":null,"funder_award_id":"61977061,51934007,61876186","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W374615042","https://openalex.org/W1579705726","https://openalex.org/W1731081199","https://openalex.org/W1836465849","https://openalex.org/W2050398567","https://openalex.org/W2159291411","https://openalex.org/W2194775991","https://openalex.org/W2279034837","https://openalex.org/W2473930607","https://openalex.org/W2554616628","https://openalex.org/W2560647685","https://openalex.org/W2593768305","https://openalex.org/W2605488490","https://openalex.org/W2765101016","https://openalex.org/W2788768841","https://openalex.org/W2806984819","https://openalex.org/W2884771968","https://openalex.org/W2902625698","https://openalex.org/W2904706552","https://openalex.org/W2955828465","https://openalex.org/W2963073217","https://openalex.org/W2963784072","https://openalex.org/W2963993484","https://openalex.org/W2964057616","https://openalex.org/W2964278684","https://openalex.org/W2968584961","https://openalex.org/W2969893028","https://openalex.org/W6612735466","https://openalex.org/W6637618735","https://openalex.org/W6638667902","https://openalex.org/W6683633756","https://openalex.org/W6695692224","https://openalex.org/W6713955831","https://openalex.org/W6720691552","https://openalex.org/W6729961902","https://openalex.org/W6734871034","https://openalex.org/W6746434100","https://openalex.org/W6748805638","https://openalex.org/W6751907932","https://openalex.org/W6757384668"],"related_works":["https://openalex.org/W4399895933","https://openalex.org/W2161221533","https://openalex.org/W4229699405","https://openalex.org/W1666484574","https://openalex.org/W2216382288","https://openalex.org/W2355491300","https://openalex.org/W4234629551","https://openalex.org/W2011110943","https://openalex.org/W2028856635","https://openalex.org/W4251615416"],"abstract_inverted_index":{"Student":[0],"behavior":[1,87],"in":[2,28,74],"the":[3,10,19,26,29,41,47,50,61,66,75,93,100,127,136,142],"classroom":[4,13,30,76,124],"is":[5,33,89,129],"an":[6],"important":[7],"part":[8],"of":[9,12,25,44,49,53,65,69,97,103],"analysis":[11],"process":[14],"and":[15,22,46,81,113,122,126,133],"effectiveness.":[16],"Due":[17],"to":[18],"different":[20],"physiological":[21],"psychological":[23],"states":[24],"learners":[27],"environment,":[31,77],"it":[32],"very":[34],"common":[35],"that":[36,107],"there":[37],"are":[38],"differences":[39],"between":[40,99],"same":[42,51,67,101],"types":[43,52],"actions,":[45],"diversity":[48,73],"actions":[54,70],"will":[55],"change":[56],"over":[57],"time.":[58],"To":[59],"solve":[60],"online":[62,94],"recognition":[63,88],"problem":[64],"kind":[68,102],"with":[71,141],"high":[72],"a":[78],"domain":[79],"adaptive":[80],"continual":[82],"learning":[83,115],"method":[84,109],"for":[85],"skeleton-based":[86],"proposed,":[90],"which":[91],"achieves":[92],"transfer":[95],"ability":[96],"models":[98],"actions.":[104],"Experiments":[105],"show":[106],"this":[108],"has":[110],"better":[111],"transferability":[112],"continuous":[114],"performance":[116],"on":[117,135],"public":[118],"datasets":[119,138],"Florence,":[120],"Kinetics":[121],"real":[123],"datasets,":[125],"accuracy":[128],"improved":[130],"by":[131],"2.3%,1.3%":[132],"7.29%":[134],"three":[137],"respectively,":[139],"compared":[140],"current":[143],"state-of-the-art":[144],"algorithms.":[145]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
