{"id":"https://openalex.org/W2597308497","doi":"https://doi.org/10.1504/ijipt.2017.10003844","title":"Virtual representation of facial avatar through weighted emotional recognition","display_name":"Virtual representation of facial avatar through weighted emotional recognition","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2597308497","doi":"https://doi.org/10.1504/ijipt.2017.10003844","mag":"2597308497"},"language":"en","primary_location":{"id":"doi:10.1504/ijipt.2017.10003844","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijipt.2017.10003844","pdf_url":null,"source":{"id":"https://openalex.org/S97755082","display_name":"International Journal of Internet Protocol Technology","issn_l":"1743-8209","issn":["1743-8209","1743-8217"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Internet Protocol Technology","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/A5057553859","display_name":"Yong Hwan Lee","orcid":"https://orcid.org/0000-0002-0020-2935"},"institutions":[{"id":"https://openalex.org/I4210113514","display_name":"Far East University","ror":"https://ror.org/01fwksc03","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210113514"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yong Hwan Lee","raw_affiliation_strings":["Far East University, Gamgok, Chungbuk, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Far East University, Gamgok, Chungbuk, Korea","institution_ids":["https://openalex.org/I4210113514"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057553859"],"corresponding_institution_ids":["https://openalex.org/I4210113514"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02206531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":"1","first_page":"30","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9962000250816345,"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":0.9962000250816345,"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":0.9901999831199646,"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":0.9896000027656555,"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/surprise","display_name":"Surprise","score":0.8381243944168091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7710950970649719},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.666481077671051},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.6649889349937439},{"id":"https://openalex.org/keywords/avatar","display_name":"Avatar","score":0.6322189569473267},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6065236926078796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5056800842285156},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49109458923339844},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4370952844619751},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43419912457466125},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36454182863235474},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.20408323407173157},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17374637722969055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11143520474433899},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.0832553505897522}],"concepts":[{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.8381243944168091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7710950970649719},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.666481077671051},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.6649889349937439},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.6322189569473267},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6065236926078796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5056800842285156},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49109458923339844},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4370952844619751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43419912457466125},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36454182863235474},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.20408323407173157},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17374637722969055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11143520474433899},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0832553505897522},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijipt.2017.10003844","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijipt.2017.10003844","pdf_url":null,"source":{"id":"https://openalex.org/S97755082","display_name":"International Journal of Internet Protocol Technology","issn_l":"1743-8209","issn":["1743-8209","1743-8217"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Internet Protocol Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W19210040","https://openalex.org/W1985218924","https://openalex.org/W2110885456","https://openalex.org/W2125011751","https://openalex.org/W2131462465","https://openalex.org/W2132680170","https://openalex.org/W2140351517","https://openalex.org/W2154716422","https://openalex.org/W2158419735","https://openalex.org/W2169908530","https://openalex.org/W2318315814"],"related_works":["https://openalex.org/W1872262506","https://openalex.org/W2503799762","https://openalex.org/W4308769266","https://openalex.org/W2945121592","https://openalex.org/W2584926856","https://openalex.org/W3000867607","https://openalex.org/W2798351401","https://openalex.org/W2729544402","https://openalex.org/W2014713986","https://openalex.org/W3214419959"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,17],"novel":[4],"multiple":[5,82],"emotion":[6,70],"recognition":[7,71,122],"scheme":[8],"from":[9],"facial":[10,53,124],"expressions":[11],"which":[12],"is":[13],"able":[14],"to":[15,135,138],"understand":[16],"combination":[18,85],"of":[19,58,69,75,86,94,123],"different":[20],"emotions":[21,44,54,61,83],"using":[22],"active":[23],"appearance":[24],"model":[25,34],"(AAM),":[26],"k-nearest":[27],"neighbour":[28],"(k-NN)":[29],"and":[30,49,51,126],"the":[31,59,92,95,101,107,114,121,127,131],"proposed":[32,39,96,115],"classification":[33],"in":[35,62,105],"mobile":[36,139],"environments.":[37,140],"The":[38,109],"method":[40,116],"classifies":[41],"five":[42,87],"basic":[43,60,88],"(normal,":[45],"happy,":[46],"sad,":[47],"angry,":[48],"surprise)":[50],"ambiguous":[52],"by":[55],"weighted":[56],"combining":[57],"real":[63],"time.":[64],"Whereas":[65],"most":[66],"previous":[67],"researches":[68],"identify":[72],"various":[73,81],"kinds":[74],"single":[76],"emotion,":[77,125],"this":[78],"work":[79],"recognises":[80],"with":[84],"emotions.":[89],"To":[90],"evaluate":[91],"performance":[93,133],"method,":[97],"we":[98],"can":[99],"achieve":[100],"best":[102],"93%":[103],"accuracy":[104],"recognising":[106],"emotion.":[108],"experimental":[110],"results":[111],"show":[112],"that":[113],"effectively":[117],"performed":[118],"well":[119],"over":[120],"obtained":[128],"result":[129],"indicates":[130],"good":[132],"enough":[134],"be":[136],"applicable":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
