{"id":"https://openalex.org/W3192835416","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498943","title":"Facial Expression Recognition Method of Educational Ro-Bot Based on Non-Overlap Region","display_name":"Facial Expression Recognition Method of Educational Ro-Bot Based on Non-Overlap Region","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3192835416","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498943","mag":"3192835416"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc51323.2021.9498943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101491023","display_name":"Jian Fang","orcid":"https://orcid.org/0000-0003-0889-2907"},"institutions":[{"id":"https://openalex.org/I4210102505","display_name":"Jilin Engineering Normal University","ror":"https://ror.org/018gks972","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Fang","raw_affiliation_strings":["Jilin Engineering Normal University, Jilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin Engineering Normal University, Jilin, China","institution_ids":["https://openalex.org/I4210102505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101595237","display_name":"Weida Liu","orcid":"https://orcid.org/0000-0003-1936-3736"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weida Liu","raw_affiliation_strings":["Chang Chun University of Technology, Jilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chang Chun University of Technology, Jilin, China","institution_ids":["https://openalex.org/I4210134929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15098005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"s0167?8655","issue":null,"first_page":"1016","last_page":"1020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9585999846458435,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.760004997253418},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.749289333820343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6862980127334595},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6806719899177551},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6366906762123108},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.6086437702178955},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5908271670341492},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5613789558410645},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.5200400352478027},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.49563705921173096},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43482547998428345},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4041064381599426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760004997253418},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.749289333820343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6862980127334595},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6806719899177551},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6366906762123108},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.6086437702178955},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5908271670341492},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5613789558410645},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.5200400352478027},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.49563705921173096},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43482547998428345},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4041064381599426},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc51323.2021.9498943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315893","display_name":"VNU Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W565267543","https://openalex.org/W614374662","https://openalex.org/W2114245202","https://openalex.org/W2131613319","https://openalex.org/W2142246654","https://openalex.org/W2163168488","https://openalex.org/W2341528187","https://openalex.org/W2805054562","https://openalex.org/W2963882342","https://openalex.org/W2981096252","https://openalex.org/W3011830499","https://openalex.org/W3013899405","https://openalex.org/W3035336948","https://openalex.org/W3047670353","https://openalex.org/W3101998545","https://openalex.org/W4297672342","https://openalex.org/W6752273823","https://openalex.org/W6775374868"],"related_works":["https://openalex.org/W2355913164","https://openalex.org/W4205986151","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W4323520705","https://openalex.org/W2356663679","https://openalex.org/W2169777806","https://openalex.org/W3027190010","https://openalex.org/W3045605430","https://openalex.org/W2363740615"],"abstract_inverted_index":{"Facial":[0],"expression":[1,23,53,64,133],"recognition":[2,25,32,106,134],"is":[3,77,111,139],"one":[4],"of":[5,8,21,33,82,86,108,136,144],"key":[6,101],"factors":[7],"understanding":[9],"the":[10,19,31,42,105,114,124,127,131,145],"learning":[11],"information":[12],"about":[13],"students":[14],"for":[15],"educational":[16],"robot.":[17],"In":[18,56],"process":[20],"facial":[22,37,63,132],"recognition,":[24],"regions":[26,35],"usually":[27],"overlap,":[28],"resulting":[29],"in":[30,41,123],"adjacent":[34],"where":[36],"landmarks":[38],"are":[39],"located":[40],"same":[43],"region,":[44],"which":[45],"may":[46],"not":[47],"be":[48],"able":[49],"to":[50,58],"convey":[51],"accurate":[52],"change":[54],"information.":[55],"order":[57],"solve":[59],"this":[60,83,109,137],"problem,":[61],"a":[62],"classification":[65],"method":[66,84,110,138],"based":[67],"on":[68],"three-stage":[69],"parallel-series":[70,94],"region":[71],"non-overlapping":[72],"cascaded":[73],"convolution":[74,90,96,121,148],"neural":[75,91,97,149],"network":[76,92,98],"proposed.":[78],"The":[79],"algorithm":[80],"model":[81,99],"consists":[85],"three":[87],"parts:":[88],"segmented":[89],"model,":[93],"shallow":[95],"and":[100,118,126],"point":[102],"aggregation.":[103],"Finally,":[104],"accuracy":[107,135],"compared":[112],"with":[113],"commonly":[115],"used":[116],"3DCNN":[117],"TCDCN":[119],"cascade":[120,147],"algorithms":[122],"database":[125],"results":[128],"show":[129],"that":[130,143],"significantly":[140],"higher":[141],"than":[142],"two":[146],"networks.":[150]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}