{"id":"https://openalex.org/W4353078383","doi":"https://doi.org/10.1007/s11042-023-15008-6","title":"Analysis of facial emotion expression in eating occasions using deep learning","display_name":"Analysis of facial emotion expression in eating occasions using deep learning","publication_year":2023,"publication_date":"2023-03-22","ids":{"openalex":"https://openalex.org/W4353078383","doi":"https://doi.org/10.1007/s11042-023-15008-6","pmid":"https://pubmed.ncbi.nlm.nih.gov/37362640"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-023-15008-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-023-15008-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-023-15008-6.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-023-15008-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066092001","display_name":"Elif Y\u0131ld\u0131r\u0131m","orcid":"https://orcid.org/0000-0002-1599-9473"},"institutions":[{"id":"https://openalex.org/I197185219","display_name":"Istanbul K\u00fclt\u00fcr University","ror":"https://ror.org/05jvrwv37","country_code":"TR","type":"education","lineage":["https://openalex.org/I197185219"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Elif Yildirim","raw_affiliation_strings":["Department of Computer Engineering, Istanbul K\u00fclt\u00fcr University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Istanbul K\u00fclt\u00fcr University, Istanbul, Turkey","institution_ids":["https://openalex.org/I197185219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000253980","display_name":"Fatma Patlar Akbulut","orcid":"https://orcid.org/0000-0002-9689-7486"},"institutions":[{"id":"https://openalex.org/I197185219","display_name":"Istanbul K\u00fclt\u00fcr University","ror":"https://ror.org/05jvrwv37","country_code":"TR","type":"education","lineage":["https://openalex.org/I197185219"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fatma Patlar Akbulut","raw_affiliation_strings":["Department of Computer Engineering, Istanbul K\u00fclt\u00fcr University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Istanbul K\u00fclt\u00fcr University, Istanbul, Turkey","institution_ids":["https://openalex.org/I197185219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038073619","display_name":"Cagatay Catal","orcid":"https://orcid.org/0000-0003-0959-2930"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Cagatay Catal","raw_affiliation_strings":["Department of Computer Science and Engineering, Qatar University, Doha, Qatar"],"raw_orcid":"https://orcid.org/0000-0003-0959-2930","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038073619"],"corresponding_institution_ids":["https://openalex.org/I60342839"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":{"value":3190,"currency":"USD","value_usd":3190},"fwci":3.023,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91331249,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"82","issue":"20","first_page":"31659","last_page":"31671"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12032","display_name":"Multisensory perception and integration","score":0.991599977016449,"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/T12032","display_name":"Multisensory perception and integration","score":0.991599977016449,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9872999787330627,"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/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.7114594578742981},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6823492646217346},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.5324735641479492},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.5307310223579407},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5299683213233948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5276783108711243},{"id":"https://openalex.org/keywords/emotional-expression","display_name":"Emotional expression","score":0.5198979377746582},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.4419938027858734},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43076038360595703},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.41918396949768066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33314675092697144},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.21022778749465942},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.0991697609424591}],"concepts":[{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.7114594578742981},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6823492646217346},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.5324735641479492},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.5307310223579407},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5299683213233948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5276783108711243},{"id":"https://openalex.org/C143110190","wikidata":"https://www.wikidata.org/wiki/Q5373787","display_name":"Emotional expression","level":2,"score":0.5198979377746582},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.4419938027858734},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43076038360595703},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.41918396949768066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33314675092697144},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.21022778749465942},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0991697609424591}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s11042-023-15008-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-023-15008-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-023-15008-6.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},{"id":"pmid:37362640","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37362640","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia tools and applications","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10031178","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10031178","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10031178/pdf/11042_2023_Article_15008.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Multimed Tools Appl","raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/24934947","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Analysis_of_facial_emotion_expression_in_eating_occasions_using_deep_learning/24934947","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/70201","is_oa":false,"landing_page_url":"http://doi.org/10.1007/s11042-023-15008-6","pdf_url":null,"source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"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":"Article"}],"best_oa_location":{"id":"doi:10.1007/s11042-023-15008-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-023-15008-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-023-15008-6.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322472","display_name":"Qatar University","ror":"https://ror.org/00yhnba62"},{"id":"https://openalex.org/F4320334468","display_name":"Qatar National Library","ror":"https://ror.org/02jv93662"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4353078383.pdf","grobid_xml":"https://content.openalex.org/works/W4353078383.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1741920700","https://openalex.org/W1994697349","https://openalex.org/W2011368275","https://openalex.org/W2031837422","https://openalex.org/W2035434421","https://openalex.org/W2037131392","https://openalex.org/W2041616772","https://openalex.org/W2041629378","https://openalex.org/W2056724053","https://openalex.org/W2061131717","https://openalex.org/W2100478110","https://openalex.org/W2103898113","https://openalex.org/W2103943262","https://openalex.org/W2105938655","https://openalex.org/W2111148270","https://openalex.org/W2145287260","https://openalex.org/W2167557160","https://openalex.org/W2264097806","https://openalex.org/W2300901025","https://openalex.org/W2341528187","https://openalex.org/W2778743419","https://openalex.org/W2810223396","https://openalex.org/W2903866186","https://openalex.org/W2975003464","https://openalex.org/W3008403993","https://openalex.org/W3030021786","https://openalex.org/W3047499479","https://openalex.org/W3097262719","https://openalex.org/W3101998545","https://openalex.org/W3138245341","https://openalex.org/W4210808381","https://openalex.org/W4231787128"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W4321369474","https://openalex.org/W2731899572","https://openalex.org/W3133861977","https://openalex.org/W4200173597","https://openalex.org/W3116150086","https://openalex.org/W3180630304","https://openalex.org/W2158075494","https://openalex.org/W3170928364","https://openalex.org/W2074853723"],"abstract_inverted_index":{"Eating":[0],"is":[1,50,231],"experienced":[2],"as":[3,40],"an":[4,219,232],"emotional":[5,68,125,187,203],"social":[6],"activity":[7],"in":[8,97,186],"any":[9,144],"culture.":[10],"There":[11],"are":[12],"factors":[13,182],"that":[14,150,175,211],"influence":[15],"the":[16,45,67,107,111,148,212,226],"emotions":[17,118],"felt":[18,24],"during":[19,47,73,205],"food":[20,48,149,178,239],"consumption.":[21],"The":[22,207],"emotion":[23,46],"while":[25,168],"eating":[26,74],"has":[27],"a":[28,52,88,120,153,184],"significant":[29],"impact":[30],"on":[31,65],"our":[32],"lives":[33],"and":[34,76,101,114,123,199,238],"affects":[35],"different":[36,71,136],"health":[37],"conditions":[38],"such":[39],"obesity.":[41],"In":[42,60,130],"addition,":[43],"investigating":[44],"consumption":[49],"considered":[51],"multidisciplinary":[53],"problem":[54],"ranging":[55],"from":[56,127],"neuroscience":[57],"to":[58,78,93,102,106,138,159,163,201,234],"anatomy.":[59],"this":[61,131],"study,":[62],"we":[63,133,172],"focus":[64],"evaluating":[66],"experience":[69],"of":[70,117,222],"participants":[72],"activities":[75],"aim":[77],"analyze":[79],"them":[80],"automatically":[81],"using":[82],"deep":[83],"learning":[84],"models.":[85],"We":[86,109,156,189],"propose":[87],"facial":[89,128],"expression-based":[90],"prediction":[91],"model":[92],"eliminate":[94],"user":[95],"bias":[96],"questionnaire-based":[98],"assessment":[99],"systems":[100],"minimize":[103],"false":[104],"entries":[105],"system.":[108],"measured":[110],"neural,":[112],"behavioral,":[113],"physical":[115],"manifestations":[116],"with":[119,218],"mobile":[121],"app":[122],"recognize":[124,202],"experiences":[126],"expressions.":[129],"research,":[132],"used":[134],"three":[135,191],"situations":[137],"test":[139],"whether":[140],"there":[141],"could":[142,151],"be":[143],"factor":[145],"other":[146],"than":[147],"affect":[152],"person's":[154],"mood.":[155],"asked":[157],"users":[158],"watch":[160],"videos,":[161],"listen":[162],"music":[164],"or":[165],"do":[166],"nothing":[167],"eating.":[169,206],"This":[170,229],"way":[171],"found":[173],"out":[174],"not":[176],"only":[177],"but":[179],"also":[180],"external":[181],"play":[183],"role":[185],"change.":[188],"employed":[190],"Convolutional":[192],"Neural":[193],"Network":[194],"(CNN)":[195],"architectures,":[196],"fine-tuned":[197,213],"VGG16,":[198],"Deepface":[200],"responses":[204],"experimental":[208],"results":[209,217],"demonstrated":[210],"VGG16":[214],"provides":[215],"remarkable":[216],"overall":[220],"accuracy":[221],"77.68%":[223],"for":[224],"recognizing":[225],"four":[227],"emotions.":[228],"system":[230],"alternative":[233],"today's":[235],"survey-based":[236],"restaurant":[237],"evaluation":[240],"systems.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}