{"id":"https://openalex.org/W4205166102","doi":"https://doi.org/10.1109/tii.2022.3141400","title":"Impact of Deep Learning Approaches on Facial Expression Recognition in Healthcare Industries","display_name":"Impact of Deep Learning Approaches on Facial Expression Recognition in Healthcare Industries","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4205166102","doi":"https://doi.org/10.1109/tii.2022.3141400"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3141400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3141400","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5018403922","display_name":"Carmen Bisogni","orcid":"https://orcid.org/0000-0003-1358-006X"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Carmen Bisogni","raw_affiliation_strings":["Department of Computer Science, University of Salerno, Fisciano, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1358-006X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003814916","display_name":"Aniello Castiglione","orcid":"https://orcid.org/0000-0003-0571-1074"},"institutions":[{"id":"https://openalex.org/I183638586","display_name":"Parthenope University of Naples","ror":"https://ror.org/05pcv4v03","country_code":"IT","type":"education","lineage":["https://openalex.org/I183638586"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Aniello Castiglione","raw_affiliation_strings":["Department of Science and Technology, University of Naples Parthenope, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0003-0571-1074","affiliations":[{"raw_affiliation_string":"Department of Science and Technology, University of Naples Parthenope, Naples, Italy","institution_ids":["https://openalex.org/I183638586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023441955","display_name":"Sanoar Hossain","orcid":"https://orcid.org/0000-0002-1232-7487"},"institutions":[{"id":"https://openalex.org/I180765649","display_name":"Aliah University","ror":"https://ror.org/03rfycd69","country_code":"IN","type":"education","lineage":["https://openalex.org/I180765649"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanoar Hossain","raw_affiliation_strings":["Department of Computer Science and Engineering, Aliah University, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Aliah University, Kolkata, India","institution_ids":["https://openalex.org/I180765649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034412164","display_name":"Fabio Narducci","orcid":"https://orcid.org/0000-0003-4879-7138"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Narducci","raw_affiliation_strings":["Department of Computer Science, University of Salerno, Fisciano, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4879-7138","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028760144","display_name":"Saiyed Umer","orcid":"https://orcid.org/0000-0002-1476-041X"},"institutions":[{"id":"https://openalex.org/I180765649","display_name":"Aliah University","ror":"https://ror.org/03rfycd69","country_code":"IN","type":"education","lineage":["https://openalex.org/I180765649"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saiyed Umer","raw_affiliation_strings":["Department of Computer Science and Engineering, Aliah University, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Aliah University, Kolkata, India","institution_ids":["https://openalex.org/I180765649"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018403922"],"corresponding_institution_ids":["https://openalex.org/I131729948"],"apc_list":null,"apc_paid":null,"fwci":14.1183,"has_fulltext":false,"cited_by_count":144,"citation_normalized_percentile":{"value":0.9939981,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"18","issue":"8","first_page":"5619","last_page":"5627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9983000159263611,"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/T11448","display_name":"Face recognition and analysis","score":0.9983000159263611,"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":0.9969000220298767,"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":0.9853000044822693,"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/computer-science","display_name":"Computer science","score":0.7347773909568787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7067669034004211},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.700188159942627},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6404946446418762},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.5997079014778137},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5827199220657349},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.580846905708313},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5755910277366638},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5724912285804749},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48997488617897034},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.48963576555252075},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48538029193878174},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4478894770145416},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4422036409378052},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42953968048095703},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39962470531463623}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7347773909568787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7067669034004211},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.700188159942627},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6404946446418762},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.5997079014778137},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5827199220657349},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.580846905708313},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5755910277366638},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5724912285804749},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48997488617897034},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.48963576555252075},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48538029193878174},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4478894770145416},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4422036409378052},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42953968048095703},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39962470531463623},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tii.2022.3141400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3141400","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"},{"id":"pmh:oai:ricerca.uniparthenope.it:11367/103539","is_oa":false,"landing_page_url":"http://hdl.handle.net/11367/103539","pdf_url":null,"source":{"id":"https://openalex.org/S4377196432","display_name":"CINECA IRIS Institutial research information system (Parthenope University of Naples)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183638586","host_organization_name":"Parthenope University of Naples","host_organization_lineage":["https://openalex.org/I183638586"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"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":40,"referenced_works":["https://openalex.org/W247104752","https://openalex.org/W1564734923","https://openalex.org/W1686810756","https://openalex.org/W2000820603","https://openalex.org/W2030562279","https://openalex.org/W2058098602","https://openalex.org/W2083021723","https://openalex.org/W2098532194","https://openalex.org/W2099363823","https://openalex.org/W2102570318","https://openalex.org/W2103943262","https://openalex.org/W2108113956","https://openalex.org/W2109774206","https://openalex.org/W2121221486","https://openalex.org/W2181779503","https://openalex.org/W2183341477","https://openalex.org/W2195207531","https://openalex.org/W2598909745","https://openalex.org/W2610952410","https://openalex.org/W2750692136","https://openalex.org/W2767405849","https://openalex.org/W2910089700","https://openalex.org/W2949958650","https://openalex.org/W2963372104","https://openalex.org/W2964045355","https://openalex.org/W2964347177","https://openalex.org/W2964350391","https://openalex.org/W2981072818","https://openalex.org/W2986688524","https://openalex.org/W2997336602","https://openalex.org/W3003720578","https://openalex.org/W3024862066","https://openalex.org/W3028493102","https://openalex.org/W3041607159","https://openalex.org/W3043496927","https://openalex.org/W3119295385","https://openalex.org/W3133750713","https://openalex.org/W6637373629","https://openalex.org/W6650590054","https://openalex.org/W6694260854"],"related_works":["https://openalex.org/W3192840557","https://openalex.org/W3091976719","https://openalex.org/W4312417841","https://openalex.org/W3018421652","https://openalex.org/W2724710774","https://openalex.org/W4220996320","https://openalex.org/W4288040045","https://openalex.org/W4285149559","https://openalex.org/W3000866861","https://openalex.org/W2908959303"],"abstract_inverted_index":{"A":[0],"facial":[1,43,89,130],"expression":[2],"recognition":[3],"system":[4,13],"that":[5],"can":[6],"provide":[7],"quick":[8],"assistance":[9],"to":[10,17,63],"the":[11,18,36,42,55,78,83,87,98,120,133,156,159],"healthcare":[12],"and":[14,59,96,112,136],"exceptional":[15],"services":[16],"patients":[19],"is":[20,30,51],"proposed":[21,76,99,160],"in":[22,77,119,132],"this":[23,28],"article.":[24],"The":[25,150],"implementation":[26],"of":[27,104,115,158],"work":[29],"divided":[31],"into":[32],"three":[33,126],"components.":[34],"In":[35],"first":[37],"component,":[38],"landmark":[39],"points":[40],"on":[41],"region":[44],"are":[45,75,117,141],"detected;":[46],"a":[47],"fixed-sized":[48],"rectangular":[49],"box":[50],"obtained":[52],"by":[53],"normalizing":[54],"detected":[56],"face":[57],"region,":[58],"then,":[60],"down":[61],"sampled":[62],"its":[64],"varying":[65],"sizes":[66],"producing":[67],"multiresolution":[68,88],"images.":[69,90],"Different":[70],"convolution":[71],"neural":[72],"network":[73],"architectures":[74],"second":[79],"component":[80],"for":[81],"analyzing":[82],"textual":[84],"information":[85],"within":[86],"To":[91],"extract":[92],"more":[93],"discriminating":[94],"features":[95],"enhance":[97],"system\u2019s":[100],"performance,":[101],"some":[102,144],"amalgamation":[103],"transfer":[105],"learning,":[106],"progressive":[107],"image":[108],"resizing,":[109],"data":[110],"augmentation,":[111],"fine":[113],"tuning":[114],"parameters":[116],"employed":[118,142],"third":[121],"component.":[122],"For":[123],"experimental":[124],"purposes,":[125],"benchmark":[127],"databases,":[128],"static":[129],"expressions":[131],"wild,":[134],"Cohn-Kanade,":[135],"Karolinska":[137],"directed":[138],"emotional":[139],"faces,":[140],"with":[143,152],"existing":[145],"methods":[146],"concerning":[147],"these":[148,153],"databases.":[149],"comparison":[151],"databases":[154],"shows":[155],"superiority":[157],"system.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":43},{"year":2023,"cited_by_count":44},{"year":2022,"cited_by_count":12}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}
