{"id":"https://openalex.org/W3216755339","doi":"https://doi.org/10.1109/cits52676.2021.9618520","title":"Facial Expressions and Body Postures Emotion Recognition based on Convolutional Attention Network","display_name":"Facial Expressions and Body Postures Emotion Recognition based on Convolutional Attention Network","publication_year":2021,"publication_date":"2021-11-11","ids":{"openalex":"https://openalex.org/W3216755339","doi":"https://doi.org/10.1109/cits52676.2021.9618520","mag":"3216755339"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cits52676.2021.9618520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5074232429","display_name":"Tie Hua Zhou","orcid":"https://orcid.org/0000-0002-3258-0244"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiehua Zhou","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University, Jilin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015270117","display_name":"Shiru Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiru Gao","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University, Jilin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046089386","display_name":"Yuanhao Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhao Mei","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University, Jilin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398664","display_name":"Ling Wang","orcid":"https://orcid.org/0000-0002-0059-2232"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Wang","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University, Jilin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.304,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.559448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":67,"max":72},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9984,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9984,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9933,"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":0.9915,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.8415975},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion Recognition","score":0.668506},{"id":"https://openalex.org/keywords/facial-landmark-detection","display_name":"Facial Landmark Detection","score":0.6295},{"id":"https://openalex.org/keywords/facial-expression-analysis","display_name":"Facial Expression Analysis","score":0.620648},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature Learning","score":0.580511},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial Expression","score":0.563934},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.53185767},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.45253664}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.8415975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72682893},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.59992445},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5984414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.59843093},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.57154286},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5707195},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.53185767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4528887},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.45253664},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45009312},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4457126},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4229487},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4214865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18209788},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cits52676.2021.9618520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320337495","funder_display_name":"Technology Development","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1871419576","https://openalex.org/W2078951341","https://openalex.org/W2127070222","https://openalex.org/W2137935458","https://openalex.org/W2150039923","https://openalex.org/W2156303437","https://openalex.org/W2244142460","https://openalex.org/W2281407413","https://openalex.org/W2307770531","https://openalex.org/W2415469094","https://openalex.org/W2559085405","https://openalex.org/W2593146028","https://openalex.org/W2899771611","https://openalex.org/W2946410230","https://openalex.org/W2963369114","https://openalex.org/W2981627109","https://openalex.org/W3001529617","https://openalex.org/W3034520808","https://openalex.org/W3034751874","https://openalex.org/W3034895839","https://openalex.org/W3105394152","https://openalex.org/W3124054989","https://openalex.org/W3127166971"],"related_works":["https://openalex.org/W4243161226","https://openalex.org/W2950647290","https://openalex.org/W2620829895","https://openalex.org/W2584926856","https://openalex.org/W2378111931","https://openalex.org/W2075935902","https://openalex.org/W2057559274","https://openalex.org/W2056853153","https://openalex.org/W2014713986","https://openalex.org/W2005087563"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1,97],"plays":[2],"an":[3,80],"important":[4],"role":[5],"in":[6],"the":[7,18,20,36,52,55,71,85,94,96,107],"fields":[8],"of":[9,54,74,113],"medical":[10],"care,":[11],"education,":[12],"services,":[13],"and":[14,28,44,57,67,76,89,92],"public":[15],"safety.":[16],"In":[17,31],"video,":[19],"emotion":[21],"could":[22,48,68,99],"be":[23,100],"recognized":[24],"through":[25,51],"facial":[26,58],"expressions":[27],"body":[29],"postures.":[30],"this":[32],"paper,":[33],"we":[34],"proposed":[35],"ER-FLS":[37,108],"(Emotion":[38],"Recognition":[39],"based":[40],"on":[41,70],"Facial":[42],"Landmark":[43],"Skeleton)":[45],"Model,":[46],"which":[47],"recognize":[49],"emotions":[50],"combination":[53],"skeleton":[56,77],"landmarks.":[59],"The":[60,102],"model":[61],"has":[62],"a":[63],"lightweight":[64],"network":[65],"structure":[66],"focus":[69],"key":[72],"areas":[73],"face":[75],"landmarks":[78],"with":[79],"attention":[81],"mechanism.":[82],"By":[83],"calculating":[84],"similarity":[86],"between":[87],"global":[88],"local":[90],"features,":[91],"update":[93],"weights,":[95],"accuracy":[98,112],"enhanced.":[101],"experimental":[103],"analysis":[104],"proved":[105],"that":[106],"Model":[109],"achieves":[110],"90.63%":[111],"emotional":[114],"recognition.":[115]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3216755339","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2024-12-05T15:15:25.072720","created_date":"2021-12-06"}