{"id":"https://openalex.org/W2970851737","doi":"https://doi.org/10.1109/tcds.2019.2917711","title":"Facial Expression Recognition via Deep Action Units Graph Network Based on Psychological Mechanism","display_name":"Facial Expression Recognition via Deep Action Units Graph Network Based on Psychological Mechanism","publication_year":2019,"publication_date":"2019-10-03","ids":{"openalex":"https://openalex.org/W2970851737","doi":"https://doi.org/10.1109/tcds.2019.2917711","mag":"2970851737"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2019.2917711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2019.2917711","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental 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/A5100356115","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0003-2157-0080"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2157-0080","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052689516","display_name":"Xingming Zhang","orcid":"https://orcid.org/0000-0002-8139-0156"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingming Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8139-0156","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084435220","display_name":"Yubei Lin","orcid":"https://orcid.org/0000-0002-1438-3044"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubei Lin","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1438-3044","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101687639","display_name":"Haoxiang Wang","orcid":"https://orcid.org/0000-0003-4474-838X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxiang Wang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4474-838X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.9056,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.97765268,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"12","issue":"2","first_page":"311","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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/T10057","display_name":"Face and Expression Recognition","score":0.9986000061035156,"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/T11448","display_name":"Face recognition and analysis","score":0.9951000213623047,"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/computer-science","display_name":"Computer science","score":0.7422221302986145},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.688417911529541},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5439233779907227},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5408016443252563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5385732054710388},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.519335150718689},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44419461488723755},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.4430266320705414},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4245263934135437},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2803463637828827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1901378333568573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7422221302986145},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.688417911529541},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5439233779907227},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5408016443252563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5385732054710388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.519335150718689},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44419461488723755},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.4430266320705414},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4245263934135437},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2803463637828827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1901378333568573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2019.2917711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2019.2917711","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G101451814","display_name":null,"funder_award_id":"2017B010111003","funder_id":"https://openalex.org/F4320326680","funder_display_name":"Guangdong Polytechnic of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320326680","display_name":"Guangdong Polytechnic of Science and Technology","ror":"https://ror.org/01wq2p249"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1588539311","https://openalex.org/W1594998705","https://openalex.org/W1661563386","https://openalex.org/W1967022116","https://openalex.org/W1992227055","https://openalex.org/W1998808035","https://openalex.org/W2000820603","https://openalex.org/W2096171208","https://openalex.org/W2103943262","https://openalex.org/W2108445559","https://openalex.org/W2138648333","https://openalex.org/W2149731110","https://openalex.org/W2151103935","https://openalex.org/W2198512331","https://openalex.org/W2217426128","https://openalex.org/W2244142460","https://openalex.org/W2246249023","https://openalex.org/W2280620570","https://openalex.org/W2421475762","https://openalex.org/W2490049321","https://openalex.org/W2551403050","https://openalex.org/W2558680118","https://openalex.org/W2587128043","https://openalex.org/W2594083602","https://openalex.org/W2600389231","https://openalex.org/W2725719541","https://openalex.org/W2735071725","https://openalex.org/W2736814566","https://openalex.org/W2737559518","https://openalex.org/W2798583514","https://openalex.org/W2799638175","https://openalex.org/W2805516822","https://openalex.org/W2889978276","https://openalex.org/W2962716958","https://openalex.org/W2963363102","https://openalex.org/W3048844620","https://openalex.org/W6650590054","https://openalex.org/W6687716273","https://openalex.org/W6751796012"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W2078477160","https://openalex.org/W1989103179","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W2153421018","https://openalex.org/W2117632582"],"abstract_inverted_index":{"Facial":[0],"expression":[1,59],"recognition":[2],"(FER)":[3],"is":[4,31,41,83],"currently":[5],"a":[6,38,114],"very":[7],"attractive":[8],"research":[9],"field":[10],"in":[11],"cognitive":[12],"psychology":[13],"and":[14,95,123,134,139],"artificial":[15],"intelligence.":[16],"In":[17],"this":[18],"paper,":[19],"an":[20,79],"innovative":[21],"FER":[22],"algorithm":[23],"called":[24],"deep":[25],"action":[26,74],"units":[27,75],"graph":[28,82,110],"network":[29,118],"(DAUGN)":[30],"proposed":[32],"based":[33],"on":[34,136],"psychological":[35],"mechanism.":[36],"First,":[37],"segmentation":[39],"method":[40],"designed":[42],"to":[43,85,119],"divide":[44],"the":[45,62,90,96,105,121,129,145],"face":[46],"into":[47,55,113],"small":[48],"key":[49],"areas,":[50],"which":[51,126],"are":[52,70,111],"then":[53],"converted":[54],"corresponding":[56],"AU-related":[57,91],"facial":[58,81,109],"regions.":[60],"Second,":[61],"local":[63],"appearance":[64],"features":[65],"of":[66,108,131],"these":[67],"critical":[68],"regions":[69,92],"extracted":[71],"for":[72],"further":[73],"(AUs)":[76],"analysis.":[77],"Then,":[78],"AUs":[80],"constructed":[84],"represent":[86],"expressions":[87],"by":[88],"taking":[89],"as":[93,102],"vertices":[94],"distances":[97],"between":[98],"each":[99],"two":[100],"landmarks":[101],"edges.":[103],"Finally,":[104],"adjacency":[106],"matrices":[107],"put":[112],"graph-based":[115],"convolutional":[116],"neural":[117],"combine":[120],"local-appearance":[122],"global-geometry":[124],"information,":[125],"greatly":[127],"improving":[128],"performance":[130],"FER.":[132],"Experiments":[133],"comparisons":[135],"CK+,":[137],"MMI,":[138],"SFEW":[140],"data":[141],"sets":[142],"reveal":[143],"that":[144],"DAUGN":[146],"achieves":[147],"more":[148],"competitive":[149],"results":[150],"than":[151],"several":[152],"other":[153],"popular":[154],"approaches.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}