{"id":"https://openalex.org/W3093692826","doi":"https://doi.org/10.1109/atsip49331.2020.9231537","title":"Face Emotion Recognition From Static Image Based on Convolution Neural Networks","display_name":"Face Emotion Recognition From Static Image Based on Convolution Neural Networks","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3093692826","doi":"https://doi.org/10.1109/atsip49331.2020.9231537","mag":"3093692826"},"language":"en","primary_location":{"id":"doi:10.1109/atsip49331.2020.9231537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip49331.2020.9231537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","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/A5068728294","display_name":"Mehdi Nasri","orcid":"https://orcid.org/0000-0002-9254-3584"},"institutions":[{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"Telecom SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}],"countries":["FR","TN"],"is_corresponding":true,"raw_author_name":"M.A. NASRI","raw_affiliation_strings":["National Engineering School of Sfax, Tunisia","Telecom SudParis, France"],"affiliations":[{"raw_affiliation_string":"National Engineering School of Sfax, Tunisia","institution_ids":["https://openalex.org/I4210131288"]},{"raw_affiliation_string":"Telecom SudParis, France","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027559446","display_name":"Mohamed Amine Hmani","orcid":"https://orcid.org/0000-0002-2403-2643"},"institutions":[{"id":"https://openalex.org/I4387153010","display_name":"Telecom SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M.A. Hmani","raw_affiliation_strings":["Telecom SudParis, France"],"affiliations":[{"raw_affiliation_string":"Telecom SudParis, France","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070390073","display_name":"Abdellatif Mtibaa","orcid":"https://orcid.org/0000-0001-5180-9975"},"institutions":[{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"Telecom SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Mtibaa","raw_affiliation_strings":["Telecom SudParis, France"],"affiliations":[{"raw_affiliation_string":"Telecom SudParis, France","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025002731","display_name":"Dijana Petrovska\u2010Delacr\u00e9taz","orcid":"https://orcid.org/0000-0001-6485-2972"},"institutions":[{"id":"https://openalex.org/I4387153010","display_name":"Telecom SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"D. Petrovska-Delacretaz","raw_affiliation_strings":["Telecom SudParis, France"],"affiliations":[{"raw_affiliation_string":"Telecom SudParis, France","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004044106","display_name":"Mohamed Ben Slima","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"M.Ben Slima","raw_affiliation_strings":["ENet\u2019com Sfax, Tunisia","ENet'com Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"ENet\u2019com Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"ENet'com Sfax, Tunisia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110204317","display_name":"Ahmed Ben Hamida","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"A.Ben Hamida","raw_affiliation_strings":["National Engineering School of Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"National Engineering School of Sfax, Tunisia","institution_ids":["https://openalex.org/I4210131288"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5068728294"],"corresponding_institution_ids":["https://openalex.org/I4210131288","https://openalex.org/I4210145102","https://openalex.org/I4387153010"],"apc_list":null,"apc_paid":null,"fwci":0.8793,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.76692209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"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/T10057","display_name":"Face and Expression Recognition","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9990000128746033,"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":0.9962000250816345,"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":0.9959999918937683,"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":0.7453428506851196},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7081660628318787},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6545021533966064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6491784453392029},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6022324562072754},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5173803567886353},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.509933352470398},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5080862045288086},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.500882625579834},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4860022962093353},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3295651376247406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7453428506851196},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7081660628318787},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6545021533966064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6491784453392029},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6022324562072754},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5173803567886353},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.509933352470398},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5080862045288086},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.500882625579834},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4860022962093353},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3295651376247406},{"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/atsip49331.2020.9231537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip49331.2020.9231537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1595126664","https://openalex.org/W1596717185","https://openalex.org/W2003238582","https://openalex.org/W2014185685","https://openalex.org/W2065041047","https://openalex.org/W2068908391","https://openalex.org/W2103943262","https://openalex.org/W2108598243","https://openalex.org/W2139916508","https://openalex.org/W2142584058","https://openalex.org/W2145310492","https://openalex.org/W2153597356","https://openalex.org/W2155632266","https://openalex.org/W2161634108","https://openalex.org/W2191045312","https://openalex.org/W2217426128","https://openalex.org/W2244142460","https://openalex.org/W2274287116","https://openalex.org/W2291696949","https://openalex.org/W2531409750","https://openalex.org/W2611154248","https://openalex.org/W2737398044","https://openalex.org/W2745497104","https://openalex.org/W2750317406","https://openalex.org/W2767405849","https://openalex.org/W2769114491","https://openalex.org/W2784263859","https://openalex.org/W2788045938","https://openalex.org/W2963307811","https://openalex.org/W2964121744","https://openalex.org/W2964350391","https://openalex.org/W4239072543","https://openalex.org/W4294379094","https://openalex.org/W6631190155","https://openalex.org/W6683817158","https://openalex.org/W6745709488","https://openalex.org/W6747683239","https://openalex.org/W6748420268"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2964954556","https://openalex.org/W2098693229","https://openalex.org/W2384651879"],"abstract_inverted_index":{"Human-Machine":[0],"Interaction":[1],"systems":[2],"have":[3],"not":[4],"yet":[5],"reached":[6],"all":[7],"the":[8,28,35,44,70,74,78,97,101,115],"emotional":[9,62],"and":[10,34,77,92,103],"social":[11],"capacities.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16],"propose":[17],"a":[18],"face":[19],"emotion":[20,116],"recognition":[21,56,117],"system":[22,40,66],"from":[23],"static":[24],"image":[25],"based":[26],"on":[27,51,69,90,124],"Xception":[29,48],"convolution":[30],"neural":[31],"network":[32],"architecture":[33],"K-fold-cross-validation":[36],"strategy.":[37,99],"The":[38,47,64],"proposed":[39,65,109],"was":[41,57],"improved":[42],"using":[43,96],"fine-tuning":[45,98],"method.":[46],"model":[49],"pre-trained":[50],"ImageNet":[52],"database":[53,71],"for":[54],"objects":[55],"fine-tuned":[58],"to":[59,106],"recognize":[60],"seven":[61],"states.":[63],"is":[67],"evaluated":[68],"recorded":[72],"during":[73],"Empathic":[75,91,104,125],"project":[76],"AffectNet":[79,93,102],"database.":[80,126],"Our":[81],"experimental":[82],"results":[83],"achieve":[84],"an":[85,120],"accuracy":[86,121],"of":[87,122],"62%,":[88],"69%":[89],"databases":[94,105],"respectively":[95],"Combined":[100],"train":[107],"our":[108],"model,":[110],"show":[111],"significant":[112],"improvement":[113],"in":[114],"that":[118],"achieves":[119],"91.2%":[123]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}