{"id":"https://openalex.org/W4385302094","doi":"https://doi.org/10.1109/cits58301.2023.10188725","title":"Deep Neural Network for User Attribute Recognition in Metaverse Hand Images","display_name":"Deep Neural Network for User Attribute Recognition in Metaverse Hand Images","publication_year":2023,"publication_date":"2023-07-10","ids":{"openalex":"https://openalex.org/W4385302094","doi":"https://doi.org/10.1109/cits58301.2023.10188725"},"language":"en","primary_location":{"id":"doi:10.1109/cits58301.2023.10188725","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cits58301.2023.10188725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Computer, Information and Telecommunication Systems (CITS)","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/A5075750194","display_name":"Oscal T.\u2010C. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Oscal T.-C. Chen","raw_affiliation_strings":["National Chung Cheng University,Department of Electrical Engineering,Chiayi,Taiwan,62102"],"affiliations":[{"raw_affiliation_string":"National Chung Cheng University,Department of Electrical Engineering,Chiayi,Taiwan,62102","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111015096","display_name":"Li-Cheng Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Cheng Yan","raw_affiliation_strings":["National Chung Cheng University,Department of Electrical Engineering,Chiayi,Taiwan,62102"],"affiliations":[{"raw_affiliation_string":"National Chung Cheng University,Department of Electrical Engineering,Chiayi,Taiwan,62102","institution_ids":["https://openalex.org/I148099254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075750194"],"corresponding_institution_ids":["https://openalex.org/I148099254"],"apc_list":null,"apc_paid":null,"fwci":0.173,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47211896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9882000088691711,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9786999821662903,"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":0.7856614589691162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5942590236663818},{"id":"https://openalex.org/keywords/dorsum","display_name":"Dorsum","score":0.5301293730735779},{"id":"https://openalex.org/keywords/metaverse","display_name":"Metaverse","score":0.49270346760749817},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48467376828193665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4452555775642395},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.43381911516189575},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4213337302207947},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.14708423614501953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7856614589691162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5942590236663818},{"id":"https://openalex.org/C140530291","wikidata":"https://www.wikidata.org/wiki/Q1225063","display_name":"Dorsum","level":2,"score":0.5301293730735779},{"id":"https://openalex.org/C53332860","wikidata":"https://www.wikidata.org/wiki/Q2632041","display_name":"Metaverse","level":3,"score":0.49270346760749817},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48467376828193665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4452555775642395},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.43381911516189575},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4213337302207947},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.14708423614501953},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cits58301.2023.10188725","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cits58301.2023.10188725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Computer, Information and Telecommunication Systems (CITS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1965804146","https://openalex.org/W2065412809","https://openalex.org/W2163987939","https://openalex.org/W2574209791","https://openalex.org/W2735468204","https://openalex.org/W2796417745","https://openalex.org/W2963677766","https://openalex.org/W3010740637","https://openalex.org/W3047333623","https://openalex.org/W3121724010","https://openalex.org/W3177052299","https://openalex.org/W6684331378","https://openalex.org/W6732328831","https://openalex.org/W6738279954","https://openalex.org/W6740887837"],"related_works":["https://openalex.org/W2166821106","https://openalex.org/W4312864667","https://openalex.org/W2616814274","https://openalex.org/W4376853950","https://openalex.org/W4366210097","https://openalex.org/W4366734514","https://openalex.org/W4237056396","https://openalex.org/W4388442643","https://openalex.org/W4399813437","https://openalex.org/W4362644763"],"abstract_inverted_index":{"This":[0],"work":[1],"develops":[2],"a":[3,145],"Deep":[4],"Neural":[5],"Network":[6],"(DNN)":[7],"that":[8],"can":[9,201],"recognize":[10],"user":[11,39],"attributes":[12,40,153],"such":[13],"as":[14],"gender,":[15,116],"age":[16,117,134],"group,":[17,118],"skin":[18,120,131],"color,":[19],"accessories,":[20],"nail":[21],"polish,":[22],"palm":[23],"and":[24,29,31,62,90,119,137,174,178,186],"back":[25],"of":[26,41,129,156,191],"the":[27,73,104,127,141,197],"hand,":[28],"left":[30],"right":[32],"hands":[33],"from":[34,56],"hand":[35,109,180],"images":[36,110,124],"to":[37,64,102,126,149,205,209],"understand":[38],"virtual-real":[42],"interactions":[43],"in":[44,53,154,164,176],"metaverse.":[45],"The":[46],"proposed":[47,142,199],"DNN":[48,143,160,198],"is":[49],"based":[50],"on":[51,193],"DenseNet-169":[52],"which":[54,78],"outputs":[55],"four":[57],"dense":[58],"blocks":[59],"are":[60,96,111],"convoluted":[61],"concatenated":[63],"form":[65],"multi-scale":[66],"features.":[67],"These":[68],"features":[69],"then":[70],"go":[71],"through":[72],"spatial":[74],"coordinate":[75],"attention":[76],"module,":[77],"emphasizes":[79],"meaningful":[80],"parts.":[81],"To":[82],"deal":[83],"with":[84,99,167,212],"unbalanced":[85],"data,":[86],"loss":[87,94],"scaling":[88],"parameters":[89],"dynamically":[91],"learnable":[92],"weighted":[93],"function":[95],"adopted":[97],"along":[98],"data":[100],"augmentation":[101],"improve":[103],"performance.":[105],"In":[106],"particular,":[107],"dorsal":[108,157,177],"better":[112],"suited":[113],"for":[114],"classifying":[115],"color":[121],"than":[122],"palmar":[123,179],"due":[125],"presence":[128],"abundant":[130],"textures,":[132],"wrinkles,":[133],"spots,":[135],"veins":[136],"so":[138],"on.":[139],"Accordingly,":[140],"includes":[144],"post-":[146],"processing":[147],"module":[148],"classify":[150],"these":[151],"three":[152],"terms":[155],"hands.":[158,195],"Our":[159],"achieves":[161],"superior":[162],"performance":[163],"gender":[165],"identification":[166],"89.74%":[168],"accuracy":[169,190],"using":[170,182],"NTU-PI":[171],"v1,":[172],"94.03%":[173],"92.69%":[175],"recognition":[181],"11K":[183,194],"hands,":[184],"respectively,":[185],"an":[187],"average":[188],"multi-attribute":[189],"93.17%":[192],"Therefore,":[196],"herein":[200],"be":[202],"widely":[203],"applied":[204],"various":[206],"metaverse":[207],"applications":[208],"provide":[210],"users":[211],"customized":[213],"service":[214],"experiences.":[215]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
