{"id":"https://openalex.org/W2965111981","doi":"https://doi.org/10.1109/inista.2019.8778282","title":"Deep Convolutional Neural Network for Robust Facial Emotion Recognition","display_name":"Deep Convolutional Neural Network for Robust Facial Emotion Recognition","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2965111981","doi":"https://doi.org/10.1109/inista.2019.8778282","mag":"2965111981"},"language":"en","primary_location":{"id":"doi:10.1109/inista.2019.8778282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/inista.2019.8778282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)","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/A5056877018","display_name":"Andrinandrasana David Rasamoelina","orcid":"https://orcid.org/0000-0002-4318-9507"},"institutions":[{"id":"https://openalex.org/I4210104797","display_name":"Universit\u00e9 de Fianarantsoa","ror":"https://ror.org/01emdt307","country_code":"MG","type":"education","lineage":["https://openalex.org/I4210104797"]}],"countries":["MG"],"is_corresponding":true,"raw_author_name":"Andrinandrasana David Rasamoelina","raw_affiliation_strings":["Ecole Nationale d'Informatique, Universit\u00e9 de Fianarantsoa, Madagascar"],"affiliations":[{"raw_affiliation_string":"Ecole Nationale d'Informatique, Universit\u00e9 de Fianarantsoa, Madagascar","institution_ids":["https://openalex.org/I4210104797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050019065","display_name":"Fouzia Adjailia","orcid":"https://orcid.org/0000-0002-5327-0034"},"institutions":[{"id":"https://openalex.org/I183764125","display_name":"Technical University of Ko\u0161ice","ror":"https://ror.org/05xm08015","country_code":"SK","type":"education","lineage":["https://openalex.org/I183764125"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Fouzia Adjailia","raw_affiliation_strings":["Dep. Cybernetics and Artificial Intelligence, Technical University of Kosice, Kosice, Slovak Republic"],"affiliations":[{"raw_affiliation_string":"Dep. Cybernetics and Artificial Intelligence, Technical University of Kosice, Kosice, Slovak Republic","institution_ids":["https://openalex.org/I183764125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009231271","display_name":"Peter Sin\u010d\u00e1k","orcid":"https://orcid.org/0000-0002-0994-5495"},"institutions":[{"id":"https://openalex.org/I183764125","display_name":"Technical University of Ko\u0161ice","ror":"https://ror.org/05xm08015","country_code":"SK","type":"education","lineage":["https://openalex.org/I183764125"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Peter Sincak","raw_affiliation_strings":["Dep. Cybernetics and Artificial Intelligence, Technical University of Kosice, Kosice, Slovak Republic"],"affiliations":[{"raw_affiliation_string":"Dep. Cybernetics and Artificial Intelligence, Technical University of Kosice, Kosice, Slovak Republic","institution_ids":["https://openalex.org/I183764125"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056877018"],"corresponding_institution_ids":["https://openalex.org/I4210104797"],"apc_list":null,"apc_paid":null,"fwci":0.6017,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72706974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9979000091552734,"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":0.9965999722480774,"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":0.7753401398658752},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.683305561542511},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6738438606262207},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6448488831520081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6028189659118652},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5292700529098511},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4829629957675934},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48157620429992676},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.46262407302856445},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.44830456376075745},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4453125596046448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7753401398658752},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.683305561542511},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6738438606262207},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6448488831520081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6028189659118652},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5292700529098511},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4829629957675934},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48157620429992676},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.46262407302856445},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.44830456376075745},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4453125596046448}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/inista.2019.8778282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/inista.2019.8778282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1479797043","https://openalex.org/W1522301498","https://openalex.org/W1546411676","https://openalex.org/W1553979208","https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1904365287","https://openalex.org/W2149933564","https://openalex.org/W2169931729","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2486769752","https://openalex.org/W2500329338","https://openalex.org/W2523246573","https://openalex.org/W2527430601","https://openalex.org/W2566938590","https://openalex.org/W2622263826","https://openalex.org/W2745497104","https://openalex.org/W2752782242","https://openalex.org/W2763421725","https://openalex.org/W2795247881","https://openalex.org/W2798506093","https://openalex.org/W2897808054","https://openalex.org/W2908510526","https://openalex.org/W2949117887","https://openalex.org/W2962784841","https://openalex.org/W2963026768","https://openalex.org/W2963420686","https://openalex.org/W2963587345","https://openalex.org/W2964121744","https://openalex.org/W3044311493","https://openalex.org/W3102246728","https://openalex.org/W4299518610","https://openalex.org/W4300900294","https://openalex.org/W6637242042","https://openalex.org/W6682132143","https://openalex.org/W6727995377","https://openalex.org/W6757817989"],"related_works":["https://openalex.org/W2945121592","https://openalex.org/W2584926856","https://openalex.org/W2075935902","https://openalex.org/W3000867607","https://openalex.org/W2798351401","https://openalex.org/W2913821117","https://openalex.org/W2729544402","https://openalex.org/W2519456985","https://openalex.org/W1992768889","https://openalex.org/W2014713986"],"abstract_inverted_index":{"Emotion":[0],"and":[1,23,29,42,72,82],"the":[2,60,63,88,92],"ability":[3],"to":[4,19,52,100],"understand":[5],"them":[6],"are":[7],"considered":[8],"a":[9,21,45],"channel":[10],"of":[11,62,91],"non-verbal":[12],"communication.":[13],"It":[14],"is":[15],"an":[16],"important":[17],"factor":[18],"achieve":[20],"smooth":[22],"yet":[24],"robust":[25],"interaction":[26],"between":[27],"machines":[28],"humans.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34,43,65],"review":[35],"CNN-based":[36],"methods":[37],"for":[38,103],"facial":[39,54,104],"emotion":[40,105],"recognition":[41],"propose":[44],"new":[46],"cutting":[47],"edge":[48],"deep":[49],"learning":[50],"approach":[51],"classify":[53],"expressions":[55],"from":[56],"pictures.":[57],"To":[58],"guarantee":[59],"efficacy":[61],"method,":[64],"used":[66],"multiple":[67],"datasets:":[68],"FER2013,":[69],"AffectNet,":[70],"RaFD,":[71],"KDEF.":[73],"We":[74,94],"obtained":[75],"results":[76,86],"respectively":[77],"82.3%,":[78],"76.79%,":[79],"78.58":[80],"%,":[81],"77.08":[83],"%.":[84],"Those":[85],"surpassed":[87],"current":[89],"state":[90],"art.":[93],"also":[95],"compared":[96],"our":[97],"achieved":[98],"measurements":[99],"available":[101],"APIs":[102],"recognition.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}