{"id":"https://openalex.org/W2974032953","doi":"https://doi.org/10.4018/ijse.2019010102","title":"Emotion Recognition Approach Using Multilayer Perceptron Network and Motion Estimation","display_name":"Emotion Recognition Approach Using Multilayer Perceptron Network and Motion Estimation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2974032953","doi":"https://doi.org/10.4018/ijse.2019010102","mag":"2974032953"},"language":"en","primary_location":{"id":"doi:10.4018/ijse.2019010102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijse.2019010102","pdf_url":null,"source":{"id":"https://openalex.org/S18516046","display_name":"International Journal of Synthetic Emotions","issn_l":"1947-9093","issn":["1947-9093","1947-9107"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Synthetic Emotions","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/A5035095815","display_name":"Mohamed Lamine Berkane","orcid":"https://orcid.org/0000-0001-8781-0257"},"institutions":[{"id":"https://openalex.org/I3132180716","display_name":"Larbi Ben M'hidi University of Oum El Bouaghi","ror":"https://ror.org/0034tbg85","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3132180716"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Mohamed Berkane","raw_affiliation_strings":["University of Oum el Bouaghi, Province of Oum El Bouaghi, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oum el Bouaghi, Province of Oum El Bouaghi, Algeria","institution_ids":["https://openalex.org/I3132180716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075685786","display_name":"Kenza Belhouchette","orcid":"https://orcid.org/0000-0002-0348-0439"},"institutions":[{"id":"https://openalex.org/I3132180716","display_name":"Larbi Ben M'hidi University of Oum El Bouaghi","ror":"https://ror.org/0034tbg85","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3132180716"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Kenza Belhouchette","raw_affiliation_strings":["University of Oum el Bouaghi, Province of Oum El Bouaghi, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oum el Bouaghi, Province of Oum El Bouaghi, Algeria","institution_ids":["https://openalex.org/I3132180716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068969975","display_name":"Hacene Belhadef","orcid":"https://orcid.org/0000-0001-7313-5406"},"institutions":[{"id":"https://openalex.org/I125485651","display_name":"University Fr\u00e8res Mentouri Constantine 1","ror":"https://ror.org/017wv6808","country_code":"DZ","type":"education","lineage":["https://openalex.org/I125485651"]},{"id":"https://openalex.org/I4391767747","display_name":"University of Constantine 3","ror":"https://ror.org/04wk25q62","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4391767747"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Hacene Belhadef","raw_affiliation_strings":["University of Constantine 2, Constantine, Algeria"],"raw_orcid":"https://orcid.org/0000-0001-7313-5406","affiliations":[{"raw_affiliation_string":"University of Constantine 2, Constantine, Algeria","institution_ids":["https://openalex.org/I125485651","https://openalex.org/I4391767747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035095815"],"corresponding_institution_ids":["https://openalex.org/I3132180716"],"apc_list":null,"apc_paid":null,"fwci":1.0151,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79183154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":"1","first_page":"38","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9987000226974487,"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":0.9987000226974487,"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/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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9635000228881836,"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":0.7534035444259644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6348159313201904},{"id":"https://openalex.org/keywords/sadness","display_name":"Sadness","score":0.6137451529502869},{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.6047463417053223},{"id":"https://openalex.org/keywords/disgust","display_name":"Disgust","score":0.5566253066062927},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.5536273717880249},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5007987022399902},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4851256310939789},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.46131205558776855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4597253203392029},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45700183510780334},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4360865354537964},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.43494993448257446},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3884238600730896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3787303566932678},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09665495157241821},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07797554135322571}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7534035444259644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6348159313201904},{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.6137451529502869},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.6047463417053223},{"id":"https://openalex.org/C2777375102","wikidata":"https://www.wikidata.org/wiki/Q208351","display_name":"Disgust","level":3,"score":0.5566253066062927},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.5536273717880249},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5007987022399902},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4851256310939789},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.46131205558776855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4597253203392029},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45700183510780334},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4360865354537964},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.43494993448257446},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3884238600730896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3787303566932678},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09665495157241821},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07797554135322571},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijse.2019010102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijse.2019010102","pdf_url":null,"source":{"id":"https://openalex.org/S18516046","display_name":"International Journal of Synthetic Emotions","issn_l":"1947-9093","issn":["1947-9093","1947-9107"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Synthetic Emotions","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jse000:v:10:y:2019:i:1:p:38-53","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSE.2019010102","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W115681963","https://openalex.org/W285643202","https://openalex.org/W1946086219","https://openalex.org/W1979189411","https://openalex.org/W2000579638","https://openalex.org/W2004586011","https://openalex.org/W2006163868","https://openalex.org/W2020949931","https://openalex.org/W2026512625","https://openalex.org/W2044188769","https://openalex.org/W2066200210","https://openalex.org/W2088670116","https://openalex.org/W2093102333","https://openalex.org/W2097780989","https://openalex.org/W2112393832","https://openalex.org/W2116277987","https://openalex.org/W2124243699","https://openalex.org/W2125127226","https://openalex.org/W2129442134","https://openalex.org/W2141522145","https://openalex.org/W2152826865","https://openalex.org/W2164598857","https://openalex.org/W2169428562","https://openalex.org/W2170883741","https://openalex.org/W2180216764","https://openalex.org/W2237664096","https://openalex.org/W2774771370","https://openalex.org/W2898998273","https://openalex.org/W2995034616","https://openalex.org/W3034751874","https://openalex.org/W3097096317","https://openalex.org/W3144058330","https://openalex.org/W4252291132"],"related_works":["https://openalex.org/W4238520549","https://openalex.org/W3216173459","https://openalex.org/W2794357331","https://openalex.org/W4242611441","https://openalex.org/W4242034606","https://openalex.org/W4250499761","https://openalex.org/W2037174948","https://openalex.org/W2810172795","https://openalex.org/W4388134110","https://openalex.org/W3199829813"],"abstract_inverted_index":{"Man-machine":[0],"interaction":[1,15],"is":[2,90,111],"an":[3],"interdisciplinary":[4],"field":[5],"of":[6,14,30,115,147],"research":[7],"that":[8,59,143],"provides":[9],"natural":[10],"and":[11,18,45,57,81,97,128,152],"multimodal":[12],"ways":[13],"between":[16],"humans":[17],"computers.":[19],"For":[20],"this":[21],"purpose,":[22],"the":[23,27,31,47,71,74,88,105,113,116,136,144,153],"computer":[24],"must":[25],"understand":[26],"emotional":[28],"state":[29],"person":[32],"with":[33,66],"whom":[34],"it":[35],"interacts.":[36],"This":[37],"article":[38],"proposes":[39],"a":[40],"novel":[41],"method":[42],"for":[43],"detecting":[44],"classify":[46],"basic":[48,75,148],"emotions":[49,149],"like":[50],"sadness,":[51],"joy,":[52],"anger,":[53],"fear,":[54],"disgust,":[55],"surprise,":[56],"interest":[58],"was":[60,156],"introduced":[61],"in":[62,132],"previous":[63],"works.":[64],"As":[65],"all":[67],"emotion":[68],"recognition":[69,145],"systems,":[70],"approach":[72],"follows":[73],"steps,":[76,87],"such":[77],"as:":[78],"facial":[79,82],"detection":[80],"feature":[83],"extraction.":[84],"In":[85],"these":[86],"contribution":[89,110],"expressed":[91],"by":[92,104,158],"using":[93],"strategic":[94],"face":[95],"points":[96],"interprets":[98],"motions":[99],"as":[100],"action":[101],"units":[102],"extracted":[103],"FACS":[106],"system.":[107],"The":[108,139],"second":[109],"at":[112],"level":[114],"classification":[117],"step,":[118],"where":[119],"two":[120],"classifiers":[121],"were":[122],"used:":[123],"Kohonen":[124],"self-organizing":[125],"maps":[126],"(KSOM)":[127],"multilayer":[129],"perceptron":[130],"(MLP)":[131],"order":[133],"to":[134],"obtain":[135],"best":[137],"results.":[138],"obtained":[140],"results":[141],"show":[142],"rate":[146],"has":[150],"improved,":[151],"running":[154],"time":[155],"minimized":[157],"reducing":[159],"resource":[160],"use.":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}