{"id":"https://openalex.org/W4387754132","doi":"https://doi.org/10.1109/icnc-fskd59587.2023.10281004","title":"An Artificial Intelligence-Based Approach for Classification of Personal Color","display_name":"An Artificial Intelligence-Based Approach for Classification of Personal Color","publication_year":2023,"publication_date":"2023-07-29","ids":{"openalex":"https://openalex.org/W4387754132","doi":"https://doi.org/10.1109/icnc-fskd59587.2023.10281004"},"language":"en","primary_location":{"id":"doi:10.1109/icnc-fskd59587.2023.10281004","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnc-fskd59587.2023.10281004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5100699674","display_name":"Hyunwoo Park","orcid":"https://orcid.org/0000-0001-9818-217X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyunwoo Park","raw_affiliation_strings":["Korea University,Department of Applied Statistics,Sejong,South Korea","Department of Applied Statistics, Korea University, Sejong, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Department of Applied Statistics,Sejong,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Applied Statistics, Korea University, Sejong, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011378331","display_name":"Seohoon Jin","orcid":"https://orcid.org/0000-0001-9310-9504"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seohoon Jin","raw_affiliation_strings":["Korea University,Department of Applied Statistics,Sejong,South Korea","Department of Applied Statistics, Korea University, Sejong, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Department of Applied Statistics,Sejong,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Applied Statistics, Korea University, Sejong, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014536572","display_name":"J.W. Cho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jangrae Cho","raw_affiliation_strings":["Ocollor,Seoul,South Korea","Ocollor, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Ocollor,Seoul,South Korea","institution_ids":[]},{"raw_affiliation_string":"Ocollor, Seoul, South Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100699674"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1443355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9110999703407288,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7669281959533691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7204368114471436},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6843330264091492},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6018929481506348},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5845826864242554},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5014657974243164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4955233335494995},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4805586636066437},{"id":"https://openalex.org/keywords/skin-color","display_name":"Skin color","score":0.47805172204971313},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39709243178367615},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0812787115573883}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7669281959533691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7204368114471436},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6843330264091492},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6018929481506348},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5845826864242554},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5014657974243164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4955233335494995},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4805586636066437},{"id":"https://openalex.org/C3019497199","wikidata":"https://www.wikidata.org/wiki/Q853516","display_name":"Skin color","level":2,"score":0.47805172204971313},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39709243178367615},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0812787115573883},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc-fskd59587.2023.10281004","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnc-fskd59587.2023.10281004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1977177161","https://openalex.org/W2108728387","https://openalex.org/W2136023023","https://openalex.org/W2136132422","https://openalex.org/W2189625117","https://openalex.org/W2747485148","https://openalex.org/W6674674938","https://openalex.org/W6680298704","https://openalex.org/W6686980507"],"related_works":["https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W1582019636","https://openalex.org/W1499005795","https://openalex.org/W3172493050","https://openalex.org/W4385420271","https://openalex.org/W4312192618","https://openalex.org/W2593798266","https://openalex.org/W4385414918","https://openalex.org/W2133653344"],"abstract_inverted_index":{"The":[0,141,165],"classification":[1,58,91,173],"of":[2,37,49,86,111,167,196],"personal":[3,38,89,139,171],"color":[4,39,90,118,152,172],"plays":[5],"a":[6,73],"vital":[7],"role":[8],"in":[9,13,70,100,108,147,170,193],"various":[10,194],"industries,":[11],"particularly":[12,93],"fashion":[14,102],"and":[15,20,66,133,183,191],"cosmetics,":[16],"where":[17],"personalized":[18,98,123,160],"recommendations":[19,99],"customized":[21],"experiences":[22,161],"hold":[23],"great":[24],"significance.":[25],"In":[26],"this":[27,128],"paper,":[28],"we":[29,181],"present":[30],"an":[31,131],"approach":[32,53,136],"to":[33,46,96,177,188],"standardize":[34],"the":[35,47,79,83,87,101,109,121,175,179],"process":[36],"diagnosis,":[40],"which":[41],"has":[42,174],"historically":[43],"varied":[44],"due":[45],"subjectivity":[48],"individual":[50,116],"consultants.":[51],"Our":[52],"utilizes":[54],"artificial":[55],"intelligence":[56],"(AI)":[57],"models,":[59],"such":[60],"as":[61],"support":[62],"vector":[63],"machine":[64],"(SVM)":[65],"multilayer":[67],"perceptron":[68],"(MLP),":[69],"conjunction":[71],"with":[72,185],"high":[74],"performance":[75],"face":[76],"detection":[77],"model.Furthermore,":[78],"study":[80,129],"delves":[81],"into":[82,150],"practical":[84],"applications":[85],"AI-based":[88,135],"approach,":[92],"its":[94],"potential":[95,176],"facilitate":[97],"industry.":[103],"It":[104],"can":[105],"also":[106],"aid":[107],"selection":[110],"makeup":[112],"products":[113],"based":[114],"on":[115],"facial":[117],"palettes,":[119],"enhancing":[120],"overall":[122],"experience":[124],"for":[125,137,159],"consumers.In":[126],"conclusion,":[127],"presents":[130],"innovative":[132],"accurate":[134],"classifying":[138],"color.":[140],"proposed":[142],"model":[143],"demonstrates":[144],"promising":[145],"results":[146],"categorizing":[148],"individuals":[149],"distinct":[151],"categories,":[153],"thereby":[154],"opening":[155],"up":[156],"new":[157],"avenues":[158],"across":[162],"multiple":[163],"industries.":[164],"integration":[166],"AI":[168],"technology":[169],"revolutionize":[178],"way":[180],"perceive":[182],"engage":[184],"color,":[186],"leading":[187],"enhanced":[189],"customization":[190],"satisfaction":[192],"aspects":[195],"our":[197],"daily":[198],"lives.":[199]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
