{"id":"https://openalex.org/W4417280809","doi":"https://doi.org/10.1002/itl2.70206","title":"Real\u2010Time Student Abnormal Behavior Detection Based on Distributed Edge Collaboration and Multi\u2010View Fusion Under Classroom Scene","display_name":"Real\u2010Time Student Abnormal Behavior Detection Based on Distributed Edge Collaboration and Multi\u2010View Fusion Under Classroom Scene","publication_year":2025,"publication_date":"2025-12-12","ids":{"openalex":"https://openalex.org/W4417280809","doi":"https://doi.org/10.1002/itl2.70206"},"language":"en","primary_location":{"id":"doi:10.1002/itl2.70206","is_oa":false,"landing_page_url":"https://doi.org/10.1002/itl2.70206","pdf_url":null,"source":{"id":"https://openalex.org/S4210238311","display_name":"Internet Technology Letters","issn_l":"2476-1508","issn":["2476-1508"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Internet Technology Letters","raw_type":"journal-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/A5100550977","display_name":"Haipeng Wu","orcid":"https://orcid.org/0009-0003-6423-7103"},"institutions":[{"id":"https://openalex.org/I4210095683","display_name":"Jinzhong University","ror":"https://ror.org/007ywhm20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210095683"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haipeng Wu","raw_affiliation_strings":["Jinzhong College of Information  Shanxi China"],"raw_orcid":"https://orcid.org/0009-0003-6423-7103","affiliations":[{"raw_affiliation_string":"Jinzhong College of Information  Shanxi China","institution_ids":["https://openalex.org/I4210095683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100550977"],"corresponding_institution_ids":["https://openalex.org/I4210095683"],"apc_list":{"value":2630,"currency":"USD","value_usd":2630},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36904196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.6434999704360962,"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":0.6434999704360962,"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":0.066600002348423,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.031599998474121094,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6165000200271606},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5698999762535095},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5205000042915344},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4860000014305115},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4799000024795532},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4763000011444092},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.4390999972820282},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4388999938964844},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.3856000006198883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7865999937057495},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6165000200271606},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5698999762535095},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5205000042915344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.506600022315979},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4860000014305115},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4799000024795532},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4763000011444092},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.4390999972820282},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4388999938964844},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.3571999967098236},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3544999957084656},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3476000130176544},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3334999978542328},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3095000088214874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3057999908924103},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2858999967575073},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.28049999475479126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2680000066757202},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.2637999951839447},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/itl2.70206","is_oa":false,"landing_page_url":"https://doi.org/10.1002/itl2.70206","pdf_url":null,"source":{"id":"https://openalex.org/S4210238311","display_name":"Internet Technology Letters","issn_l":"2476-1508","issn":["2476-1508"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Internet Technology Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1983364832","https://openalex.org/W2157523181","https://openalex.org/W4389170205","https://openalex.org/W4392251861","https://openalex.org/W4405310526","https://openalex.org/W4409906412","https://openalex.org/W4412081774"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Efficient":[1],"detection":[2,41,146],"of":[3,9,31,104,119,145],"abnormal":[4,120,130],"student":[5],"classroom":[6,18,80,129],"behavior":[7,131],"is":[8],"great":[10],"significance":[11],"for":[12],"improving":[13],"teaching":[14],"quality":[15],"and":[16,76,95],"maintaining":[17],"order.":[19],"However,":[20],"traditional":[21],"methods":[22],"based":[23,64],"on":[24,48,65,126],"centralized":[25],"cloud":[26],"computing":[27],"face":[28],"the":[29,79,91,96,102,116],"challenge":[30],"poor":[32],"real\u2010time":[33],"performance.":[34],"In":[35],"addition,":[36],"existing":[37,139],"video\u2010based":[38],"anomaly":[39],"action":[40,121],"networks":[42,142],"are":[43],"difficult":[44],"to":[45,81,100,114],"deploy":[46,72],"effectively":[47],"resource\u2010efficient":[49],"edge":[50,67,74],"servers.":[51],"Therefore,":[52],"this":[53],"article":[54],"proposes":[55],"an":[56],"efficient":[57],"variant":[58],"spatiotemporal":[59],"graph":[60,93,140],"convolution":[61,94,141],"(ST\u2010GCN)":[62],"model":[63],"distributed":[66,84],"collaboration":[68],"learning.":[69],"First,":[70],"we":[71,89,108],"multiple":[73],"servers":[75],"cameras":[77],"in":[78,143],"form":[82],"a":[83,110],"collaborative":[85,111],"perception":[86],"network.":[87],"Second,":[88],"integrate":[90],"multi\u2010scale":[92],"multi\u2010view":[97],"fusion":[98],"mechanism":[99,113],"enhance":[101],"robustness":[103],"feature":[105],"expression.":[106],"Finally,":[107],"construct":[109],"learning":[112],"improve":[115],"generalization":[117],"ability":[118],"recognition.":[122],"The":[123],"experimental":[124],"results":[125],"our":[127,135],"self\u2010built":[128],"dataset":[132],"show":[133],"that":[134],"proposed":[136],"method":[137],"outperforms":[138],"terms":[144],"accuracy.":[147]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-12-12T00:00:00"}
