{"id":"https://openalex.org/W4400975337","doi":"https://doi.org/10.1109/jiot.2024.3431233","title":"Unsupervised Domain Adaptation via Spatial Pattern Alignment for VEP-Based Identity Recognition","display_name":"Unsupervised Domain Adaptation via Spatial Pattern Alignment for VEP-Based Identity Recognition","publication_year":2024,"publication_date":"2024-07-25","ids":{"openalex":"https://openalex.org/W4400975337","doi":"https://doi.org/10.1109/jiot.2024.3431233"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3431233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3431233","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","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/A5059606461","display_name":"Hongze Zhao","orcid":"https://orcid.org/0000-0001-7934-3468"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongze Zhao","raw_affiliation_strings":["Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7934-3468","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713695","display_name":"Yijun Wang","orcid":"https://orcid.org/0000-0002-8161-2150"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210091786","display_name":"State Key Laboratory on Integrated Optoelectronics","ror":"https://ror.org/00g102351","country_code":"CN","type":"facility","lineage":["https://openalex.org/I194450716","https://openalex.org/I19820366","https://openalex.org/I4210091786","https://openalex.org/I4210149211","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijun Wang","raw_affiliation_strings":["State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8161-2150","affiliations":[{"raw_affiliation_string":"State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210091786","https://openalex.org/I4210149211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000766901","display_name":"Xiaorong Gao","orcid":"https://orcid.org/0000-0003-0499-2740"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorong Gao","raw_affiliation_strings":["Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0499-2740","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4343,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89969288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":"20","first_page":"33722","last_page":"33733"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9562000036239624,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9562000036239624,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7971957921981812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6375737190246582},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5831929445266724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5420525670051575},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.513277530670166},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4157927632331848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7971957921981812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6375737190246582},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5831929445266724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5420525670051575},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.513277530670166},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4157927632331848},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2024.3431233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3431233","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G1677992777","display_name":null,"funder_award_id":"2023BEG02063","funder_id":"https://openalex.org/F4320334010","funder_display_name":"Key Research and Development Program of Ningxia"},{"id":"https://openalex.org/G5808581381","display_name":null,"funder_award_id":"U2241208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6819745797","display_name":"\u57fa\u4e8e\u4e2a\u6027\u5316\u7a7a\u95f4\u7f16\u7801\u8c03\u5236\u7684\u89c6\u89c9\u8111-\u673a\u63a5\u53e3\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071447","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334010","display_name":"Key Research and Development Program of Ningxia","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W222827149","https://openalex.org/W1491186747","https://openalex.org/W1996687698","https://openalex.org/W2011584637","https://openalex.org/W2048952602","https://openalex.org/W2051360945","https://openalex.org/W2056168656","https://openalex.org/W2057069782","https://openalex.org/W2086021750","https://openalex.org/W2089648273","https://openalex.org/W2099044229","https://openalex.org/W2109606349","https://openalex.org/W2130817593","https://openalex.org/W2132876794","https://openalex.org/W2141577351","https://openalex.org/W2143183535","https://openalex.org/W2160845636","https://openalex.org/W2163939660","https://openalex.org/W2167101736","https://openalex.org/W2187089797","https://openalex.org/W2242826997","https://openalex.org/W2261365252","https://openalex.org/W2313108227","https://openalex.org/W2414977329","https://openalex.org/W2585175188","https://openalex.org/W2605492512","https://openalex.org/W2611647730","https://openalex.org/W2611828315","https://openalex.org/W2763113929","https://openalex.org/W2768708026","https://openalex.org/W2799657112","https://openalex.org/W2941474740","https://openalex.org/W2963727766","https://openalex.org/W2963752866","https://openalex.org/W3008442772","https://openalex.org/W3035471470","https://openalex.org/W3090425814","https://openalex.org/W3104131041","https://openalex.org/W3131475179","https://openalex.org/W3140063874","https://openalex.org/W3195947465","https://openalex.org/W4205424803","https://openalex.org/W4205939829","https://openalex.org/W4281784240","https://openalex.org/W4365511137","https://openalex.org/W4381599199","https://openalex.org/W4386757361","https://openalex.org/W4390671133","https://openalex.org/W4391733635","https://openalex.org/W4392114191"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W1533421371","https://openalex.org/W2003050223","https://openalex.org/W2091777911","https://openalex.org/W2766405861","https://openalex.org/W4394775207","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"biometrics":[2],"has":[3],"garnered":[4],"significant":[5,111,166],"attention":[6],"in":[7,117,197,230,247],"recent":[8],"years":[9,196],"owing":[10],"to":[11,56,94,103],"its":[12],"nonintrusive":[13],"nature,":[14],"real-time":[15],"detection":[16],"capabilities,":[17],"concealment,":[18],"and":[19,99,115,152,184,245,257],"high":[20],"complexity.":[21],"Despite":[22],"these":[23],"promising":[24],"attributes,":[25],"the":[26,58,125,169,185,190,200,222,235,251,254],"practical":[27,62],"deployment":[28],"of":[29,91,113,199,259],"EEG-based":[30],"identity":[31,84],"recognition":[32,39,53,119,262],"systems":[33],"remains":[34],"hindered":[35],"by":[36,209],"limited":[37],"cross-day":[38,46,96,118,248],"performance.":[40],"While":[41],"some":[42],"studies":[43],"have":[44],"reported":[45],"recognition,":[47,249],"they":[48],"often":[49],"suffer":[50],"from":[51],"slow":[52],"speeds,":[54],"failing":[55],"meet":[57],"basic":[59],"requirements":[60],"for":[61,80,253],"applications.":[63],"To":[64],"address":[65],"this":[66,109],"issue,":[67],"we":[68,173,203],"propose":[69],"an":[70],"unsupervised":[71],"domain":[72],"adaptation":[73],"algorithm":[74,127,241],"based":[75],"on":[76,128],"spatial":[77,92,97],"pattern":[78],"alignment":[79,90],"visual-evoked":[81],"potential":[82],"(VEP)-based":[83],"recognition.":[85],"This":[86],"method":[87,224],"employs":[88],"rotational":[89],"patterns":[93],"correct":[95],"filters":[98],"utilizes":[100],"forward":[101],"selection":[102],"identify":[104],"optimal":[105],"sub-bands.":[106],"By":[107],"utilizing":[108],"approach,":[110],"improvements":[112],"speed":[114,244],"accuracy":[116,246],"can":[120],"be":[121],"achieved.":[122],"We":[123],"validate":[124],"proposed":[126,223],"three":[129,195],"existing":[130],"VEP":[131],"data":[132,191,237],"sets:":[133],"1)":[134],"Data":[135,144,154],"Set":[136,145,155],"I":[137],"(25":[138],"subjects":[139,148,158],"across":[140,149,159,180],"30":[141,213],"days);":[142,151],"2)":[143],"II":[146],"(21":[147],"5":[150],"3)":[153],"III":[156],"(15":[157],"200":[160,216],"days).":[161],"The":[162,239],"results":[163],"demonstrate":[164],"a":[165],"superiority":[167],"over":[168,181,193],"compared":[170],"algorithms.":[171],"Furthermore,":[172],"conduct":[174],"online":[175,260],"experiments":[176],"with":[177],"15":[178],"individuals":[179],"1000":[182,219],"days,":[183],"outcomes":[186],"remain":[187],"consistent.":[188],"Analyzing":[189],"set":[192],"nearly":[194],"terms":[198],"temporal":[201],"dimension,":[202],"observe":[204],"evident":[205],"performance":[206,232],"differences":[207,233],"caused":[208],"template":[210,227],"aging":[211],"effect:":[212],"days":[214,217],">":[215,218],"days.":[220],"However,":[221],"effectively":[225],"mitigates":[226],"aging,":[228],"resulting":[229],"minimal":[231],"among":[234],"various":[236],"sets.":[238],"introduced":[240],"substantially":[242],"enhances":[243],"paving":[250],"way":[252],"long-term":[255],"stability":[256],"practicality":[258],"brainwave":[261],"systems.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
