{"id":"https://openalex.org/W2980983845","doi":"https://doi.org/10.1109/mlsp.2019.8918771","title":"A Spatiotemporal Deep Learning Solution For Automatic Micro-Expressions Recognition From Local Facial Regions","display_name":"A Spatiotemporal Deep Learning Solution For Automatic Micro-Expressions Recognition From Local Facial Regions","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2980983845","doi":"https://doi.org/10.1109/mlsp.2019.8918771","mag":"2980983845"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2019.8918771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2019.8918771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5000882002","display_name":"Mouath Aouayeb","orcid":"https://orcid.org/0000-0001-7411-4375"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I28221208","display_name":"Institut National des Sciences Appliqu\u00e9es de Rennes","ror":"https://ror.org/04xaa4j22","country_code":"FR","type":"education","lineage":["https://openalex.org/I28221208"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mouath Aouayeb","raw_affiliation_strings":["INSA Rennes, CNRS, IETR - UMR, Univ Rennes, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSA Rennes, CNRS, IETR - UMR, Univ Rennes, Rennes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210100151","https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084205574","display_name":"Wassim Hamidouche","orcid":"https://orcid.org/0000-0002-0143-1756"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I28221208","display_name":"Institut National des Sciences Appliqu\u00e9es de Rennes","ror":"https://ror.org/04xaa4j22","country_code":"FR","type":"education","lineage":["https://openalex.org/I28221208"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Wassim Hamidouche","raw_affiliation_strings":["INSA Rennes, CNRS, IETR - UMR, Univ Rennes, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSA Rennes, CNRS, IETR - UMR, Univ Rennes, Rennes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210100151","https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029409871","display_name":"Kidiyo Kpalma","orcid":"https://orcid.org/0000-0001-8179-6415"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I28221208","display_name":"Institut National des Sciences Appliqu\u00e9es de Rennes","ror":"https://ror.org/04xaa4j22","country_code":"FR","type":"education","lineage":["https://openalex.org/I28221208"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Kidiyo Kpalma","raw_affiliation_strings":["INSA Rennes, CNRS, IETR - UMR, Univ Rennes, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSA Rennes, CNRS, IETR - UMR, Univ Rennes, Rennes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210100151","https://openalex.org/I56067802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090426136","display_name":"Amel Benazza\u2010Benyahia","orcid":"https://orcid.org/0000-0002-4562-2757"},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Amel Benazza-Benyahia","raw_affiliation_strings":["SUP\u2019COM, LR/11TIC04, COSIM Lab, University of Carthage, Tunis, Tunisia","SUP'COM, LR/11TIC04, COSIM Lab, University of Carthage, Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SUP\u2019COM, LR/11TIC04, COSIM Lab, University of Carthage, Tunis, Tunisia","institution_ids":["https://openalex.org/I179097149"]},{"raw_affiliation_string":"SUP'COM, LR/11TIC04, COSIM Lab, University of Carthage, Tunis, Tunisia","institution_ids":["https://openalex.org/I179097149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9933000206947327,"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/T11094","display_name":"Face Recognition and Perception","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8060520887374878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7517873048782349},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.715783417224884},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6138595342636108},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6114658117294312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5910030603408813},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4774787425994873},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4135819375514984},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33706778287887573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8060520887374878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7517873048782349},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.715783417224884},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6138595342636108},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6114658117294312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5910030603408813},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4774787425994873},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4135819375514984},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33706778287887573},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2019.8918771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2019.8918771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W65855405","https://openalex.org/W1854318472","https://openalex.org/W2006426145","https://openalex.org/W2009375902","https://openalex.org/W2044106642","https://openalex.org/W2097117768","https://openalex.org/W2139916508","https://openalex.org/W2263218431","https://openalex.org/W2426188534","https://openalex.org/W2478411578","https://openalex.org/W2527254703","https://openalex.org/W2538953432","https://openalex.org/W2895747367","https://openalex.org/W2900328647","https://openalex.org/W2931829804","https://openalex.org/W2958471948","https://openalex.org/W2959639774","https://openalex.org/W2959679536","https://openalex.org/W2962162344","https://openalex.org/W2962802777","https://openalex.org/W2963230974","https://openalex.org/W2963351448","https://openalex.org/W2963966377","https://openalex.org/W2964606879","https://openalex.org/W2978010459","https://openalex.org/W2996566685","https://openalex.org/W3035383616","https://openalex.org/W3100728255","https://openalex.org/W3106342476","https://openalex.org/W4388315058","https://openalex.org/W6661406137","https://openalex.org/W6692984378","https://openalex.org/W6721035138","https://openalex.org/W6728900415","https://openalex.org/W6743394626","https://openalex.org/W6756653594","https://openalex.org/W6761421612","https://openalex.org/W6761429123","https://openalex.org/W6784763465"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2384651879"],"abstract_inverted_index":{"Humans":[0],"always":[1,44],"try":[2],"to":[3,8,17,56,97],"hide":[4],"their":[5,10],"Macro-Expressions":[6],"(MaE)":[7],"conceal":[9],"real":[11],"emotion,":[12],"and":[13,21,35,42,63,84,101,126],"it":[14],"is":[15,52],"hard":[16],"distinguish":[18],"between":[19],"true":[20,48],"false":[22],"emotions":[23],"even":[24],"with":[25,38],"artificial":[26],"intelligence.":[27],"Micro-Expressions":[28],"(MiEs),":[29],"on":[30,76,91,118],"the":[31,39,95,130,143,146,150,154],"contrary,":[32],"are":[33],"spontaneous":[34],"fast,":[36],"undetectable":[37],"naked":[40],"eye":[41],"thus":[43],"inform":[45],"us":[46],"of":[47,54,61,79,94,115,132,145],"feelings.":[49],"Therefore,":[50],"there":[51],"plenty":[53],"studies":[55],"generate":[57],"an":[58],"automatic":[59],"system":[60],"detecting":[62],"analyzing":[64],"these":[65],"MiEs.In":[66],"this":[67],"paper":[68],"we":[69],"propose":[70],"a":[71,77,119],"new":[72],"solution":[73,110],"that":[74],"relies":[75],"combination":[78],"Convolutional":[80],"Neural":[81],"Network":[82],"(CNN)":[83],"Long":[85],"Short":[86],"Term":[87],"Memory":[88],"(LSTM)":[89],"applied":[90],"particular":[92],"regions":[93],"face":[96],"extract":[98],"relevant":[99],"spatial":[100],"temporal":[102],"features,":[103],"respectively,":[104],"for":[105],"MiEs":[106],"recognition.":[107],"The":[108],"proposed":[109,152],"achieves":[111],"high":[112],"recognition":[113],"accuracy":[114],"90%":[116],"precision":[117],"different":[120],"databases":[121],"including":[122,149],"SMIC,":[123],"CASME":[124],"II":[125],"SAMM.":[127],"Moreover,":[128],"under":[129],"conditions":[131],"Micro-Expression":[133],"Grand":[134],"Challenge":[135],"(MEGC)":[136],"2019,":[137],"our":[138],"approach":[139],"performs":[140],"better":[141],"than":[142],"state":[144],"art":[147],"solutions":[148],"ones":[151],"in":[153],"challenge.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}