{"id":"https://openalex.org/W3025498504","doi":"https://doi.org/10.3233/jifs-179794","title":"Application of face expression recognition technology in skilled unsupervised course based on ultra-wide regression network","display_name":"Application of face expression recognition technology in skilled unsupervised course based on ultra-wide regression network","publication_year":2020,"publication_date":"2020-05-11","ids":{"openalex":"https://openalex.org/W3025498504","doi":"https://doi.org/10.3233/jifs-179794","mag":"3025498504"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-179794","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179794","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5103663058","display_name":"Yan Lixin","orcid":null},"institutions":[{"id":"https://openalex.org/I118612203","display_name":"Hunan Police Academy","ror":"https://ror.org/02gh10772","country_code":"CN","type":"education","lineage":["https://openalex.org/I118612203"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lixin Yan","raw_affiliation_strings":["Department of Police training, Liaoning Police College, Liaoning, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Department of Police training, Liaoning Police College, Liaoning, Dalian, China","institution_ids":["https://openalex.org/I118612203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103663058"],"corresponding_institution_ids":["https://openalex.org/I118612203"],"apc_list":null,"apc_paid":null,"fwci":0.3908,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60606977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"38","issue":"6","first_page":"7167","last_page":"7177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9818999767303467,"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/T11448","display_name":"Face recognition and analysis","score":0.9818999767303467,"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/T10057","display_name":"Face and Expression Recognition","score":0.9684000015258789,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9373999834060669,"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/facial-expression","display_name":"Facial expression","score":0.751446545124054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7399041056632996},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6986373662948608},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.6735570430755615},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6107527613639832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5666160583496094},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5223516225814819},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4530973732471466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4266617000102997},{"id":"https://openalex.org/keywords/emotional-expression","display_name":"Emotional expression","score":0.4202623963356018},{"id":"https://openalex.org/keywords/course","display_name":"Course (navigation)","score":0.41978150606155396},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37935391068458557},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22580385208129883},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.18305018544197083}],"concepts":[{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.751446545124054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7399041056632996},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6986373662948608},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.6735570430755615},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6107527613639832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5666160583496094},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5223516225814819},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4530973732471466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4266617000102997},{"id":"https://openalex.org/C143110190","wikidata":"https://www.wikidata.org/wiki/Q5373787","display_name":"Emotional expression","level":2,"score":0.4202623963356018},{"id":"https://openalex.org/C2777552389","wikidata":"https://www.wikidata.org/wiki/Q1962728","display_name":"Course (navigation)","level":2,"score":0.41978150606155396},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37935391068458557},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22580385208129883},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.18305018544197083},{"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-179794","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179794","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W9976222","https://openalex.org/W130490334","https://openalex.org/W1901075642","https://openalex.org/W1951319388","https://openalex.org/W2010099812","https://openalex.org/W2072273451","https://openalex.org/W2304348237","https://openalex.org/W2342954022","https://openalex.org/W2559289659","https://openalex.org/W2602670757","https://openalex.org/W2606680731","https://openalex.org/W2759530082","https://openalex.org/W2768652440","https://openalex.org/W2951965309","https://openalex.org/W2963466847","https://openalex.org/W2963896050","https://openalex.org/W3102661353","https://openalex.org/W6735713886"],"related_works":["https://openalex.org/W2642127892","https://openalex.org/W3117510596","https://openalex.org/W1989708078","https://openalex.org/W2381081830","https://openalex.org/W1511759140","https://openalex.org/W2090375893","https://openalex.org/W2005468030","https://openalex.org/W2020206307","https://openalex.org/W2025928668","https://openalex.org/W2189549508"],"abstract_inverted_index":{"In":[0,72,116],"traditional":[1],"teaching,":[2],"people":[3],"can":[4,172],"quickly":[5],"guess":[6],"the":[7,11,20,37,46,51,55,59,63,66,75,85,97,101,106,111,117,121,124,129,136,141,147,156],"emotion":[8,92],"type":[9],"of":[10,39,54,62,69,105],"other":[12],"person":[13,56,64],"based":[14,78,154],"on":[15,79,113,155],"facial":[16,22,60,114,182],"expressions":[17],"but":[18],"understanding":[19],"human":[21],"expression":[23,38,61,76,90,151,183],"by":[24,110],"computer":[25,47],"is":[26,65,82,93,108,166],"a":[27],"very":[28],"complicated":[29],"problem.":[30],"There":[31],"may":[32],"be":[33],"some":[34],"differences":[35],"in":[36,181],"each":[40],"person.":[41],"Therefore,":[42],"how":[43],"to":[44,58,95,128],"make":[45],"\u2018read":[48],"and":[49,84,91,100,139],"understand\u2019":[50],"emotional":[52,98,102,130],"state":[53,103,131],"according":[57,127],"research":[67,112,176],"focus":[68],"this":[70,73,175],"paper.":[71],"paper,":[74],"recognition":[77,104,132,152],"dynamic":[80],"sequence":[81],"developed,":[83],"mapping":[86],"relationship":[87],"between":[88],"basic":[89],"studied":[94],"construct":[96],"model,":[99],"learner":[107],"realized":[109],"expression.":[115],"intelligent":[118],"teaching":[119,125,137],"environment,":[120],"teacher":[122],"adjusts":[123],"strategy":[126],"test":[133],"results,":[134],"improves":[135],"efficiency,":[138],"realizes":[140],"wisdom":[142],"teaching.":[143],"Moreover,":[144],"combined":[145],"with":[146],"actual":[148],"situation,":[149],"an":[150],"algorithm":[153,177],"ultra-wide":[157],"regression":[158],"network":[159],"model":[160],"for":[161],"unsupervised":[162],"learning":[163],"classroom":[164],"education":[165],"constructed.":[167],"Through":[168],"experimental":[169],"analysis,":[170],"we":[171],"know":[173],"that":[174],"has":[178],"certain":[179],"advantages":[180],"recognition.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
