{"id":"https://openalex.org/W2810755874","doi":"https://doi.org/10.1109/codit.2018.8394868","title":"Micro-expression Analysis by Fusing Deep Convolutional Neural Network and Optical Flow","display_name":"Micro-expression Analysis by Fusing Deep Convolutional Neural Network and Optical Flow","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2810755874","doi":"https://doi.org/10.1109/codit.2018.8394868","mag":"2810755874"},"language":"en","primary_location":{"id":"doi:10.1109/codit.2018.8394868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit.2018.8394868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-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/A5025427343","display_name":"Qiuyu Li","orcid":"https://orcid.org/0000-0003-4007-5536"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiuyu Li","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038291633","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0002-3159-0627"},"institutions":[{"id":"https://openalex.org/I35568498","display_name":"Kochi University of Technology","ror":"https://ror.org/00rghrr56","country_code":"JP","type":"education","lineage":["https://openalex.org/I35568498"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["Kochi University of Technology, Kochi, Japan"],"affiliations":[{"raw_affiliation_string":"Kochi University of Technology, Kochi, Japan","institution_ids":["https://openalex.org/I35568498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065368640","display_name":"Toru Kurihara","orcid":"https://orcid.org/0000-0001-8347-0283"},"institutions":[{"id":"https://openalex.org/I35568498","display_name":"Kochi University of Technology","ror":"https://ror.org/00rghrr56","country_code":"JP","type":"education","lineage":["https://openalex.org/I35568498"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Kurihara","raw_affiliation_strings":["Kochi University of Technology, Kochi, Japan"],"affiliations":[{"raw_affiliation_string":"Kochi University of Technology, Kochi, Japan","institution_ids":["https://openalex.org/I35568498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023946047","display_name":"Shu Zhan","orcid":"https://orcid.org/0000-0002-5568-0264"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Zhan","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025427343"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":1.9919,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.86504097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"265","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9907000064849854,"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":0.987500011920929,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8224307298660278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.77227783203125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7343595623970032},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.657158374786377},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6229540705680847},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6174511313438416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6103434562683105},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5681940317153931},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.522563636302948},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48077791929244995},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44295814633369446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4261401295661926},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4141908288002014},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10082224011421204}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8224307298660278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77227783203125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7343595623970032},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.657158374786377},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6229540705680847},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6174511313438416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6103434562683105},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5681940317153931},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.522563636302948},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48077791929244995},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44295814633369446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4261401295661926},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4141908288002014},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10082224011421204},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit.2018.8394868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit.2018.8394868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7099999785423279,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W234798790","https://openalex.org/W764651262","https://openalex.org/W1522926906","https://openalex.org/W1566709181","https://openalex.org/W1753905863","https://openalex.org/W1854318472","https://openalex.org/W1896424170","https://openalex.org/W1903029394","https://openalex.org/W1976948919","https://openalex.org/W1998022503","https://openalex.org/W1998808035","https://openalex.org/W2006426145","https://openalex.org/W2006932513","https://openalex.org/W2044459166","https://openalex.org/W2059068649","https://openalex.org/W2111372597","https://openalex.org/W2115252128","https://openalex.org/W2119586505","https://openalex.org/W2128730107","https://openalex.org/W2149731110","https://openalex.org/W2153169342","https://openalex.org/W2263218431","https://openalex.org/W2269299223","https://openalex.org/W2342983306","https://openalex.org/W2526853616","https://openalex.org/W2538953432","https://openalex.org/W2551042279","https://openalex.org/W2560474170","https://openalex.org/W2599053419","https://openalex.org/W2608034484","https://openalex.org/W2963391479","https://openalex.org/W3100388886","https://openalex.org/W3103539074"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2023355163","https://openalex.org/W4386083130","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2069571255","https://openalex.org/W3111737715","https://openalex.org/W4239306820","https://openalex.org/W2117442182","https://openalex.org/W4391266461"],"abstract_inverted_index":{"Micro-expression":[0,16,27],"is":[1,21,49,102,123,150,165],"a":[2,19,62,71,82,119,145,160],"kind":[3],"of":[4,93,156,175],"brief":[5],"facial":[6,79,106,116,133],"movements":[7],"which":[8,69,135],"could":[9],"not":[10],"be":[11],"controlled":[12],"by":[13,55],"nervous":[14],"system.":[15],"indicates":[17],"that":[18,183],"person":[20],"hiding":[22],"his":[23],"truly":[24],"emotion":[25],"consciously.":[26],"analysis":[28,68],"has":[29],"various":[30],"potential":[31],"applications":[32],"in":[33,189],"public":[34],"security":[35],"and":[36,81,159,169,192],"clinical":[37],"medicine.":[38],"Researches":[39],"are":[40],"focused":[41],"on":[42,177],"the":[43,53,56,78,89,94,97,109,115,127,132,137,141,154,157,171],"automatic":[44,66],"micro-expression":[45,54,67,142,180,190],"recognition,":[46],"because":[47],"it":[48],"hard":[50],"to":[51,104],"recognize":[52],"naked":[57],"eye.":[58],"This":[59],"research":[60],"proposes":[61],"novel":[63],"algorithm":[64],"for":[65,76,87,113,125,152,167],"combines":[70],"deep":[72,84,98],"multi-task":[73,99],"convolutional":[74,85,100,121],"network":[75,86,101,122],"detecting":[77,170],"landmarks":[80,107],"fused":[83,120],"estimating":[88],"optical":[90,128,147],"flow":[91,129,148],"features":[92,130,158],"micro-expression.":[95,172],"Firstly,":[96],"employed":[103],"detect":[105],"with":[108],"manifold":[110],"related":[111],"tasks":[112],"dividing":[114],"region.":[117],"Furthermore,":[118],"applied":[124,151],"extracting":[126],"from":[131],"regions":[134],"contain":[136],"muscle":[138],"changes":[139],"when":[140],"presents.":[143],"Finally,":[144],"revised":[146],"feature":[149],"refining":[153],"information":[155],"Support":[161],"Vector":[162],"Machine":[163],"classifier":[164],"adopted":[166],"recognizing":[168],"The":[173],"result":[174],"experiments":[176],"two":[178],"spontaneous":[179],"database":[181],"proves":[182],"our":[184],"method":[185],"achieved":[186],"competitive":[187],"performance":[188],"recognition":[191],"detection.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
