{"id":"https://openalex.org/W4205219957","doi":"https://doi.org/10.1109/tcds.2021.3137530","title":"Dynamic Distribution Alignment With Dual-Subspace Mapping for Cross-Subject Driver Mental State Detection","display_name":"Dynamic Distribution Alignment With Dual-Subspace Mapping for Cross-Subject Driver Mental State Detection","publication_year":2021,"publication_date":"2021-12-22","ids":{"openalex":"https://openalex.org/W4205219957","doi":"https://doi.org/10.1109/tcds.2021.3137530"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2021.3137530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2021.3137530","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Transactions on Cognitive and Developmental Systems","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/A5015600777","display_name":"Jin Cui","orcid":"https://orcid.org/0000-0001-9575-3678"},"institutions":[{"id":"https://openalex.org/I66906201","display_name":"University of Yamanashi","ror":"https://ror.org/059x21724","country_code":"JP","type":"education","lineage":["https://openalex.org/I66906201"]},{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN","JP"],"is_corresponding":true,"raw_author_name":"Jin Cui","raw_affiliation_strings":["College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","Department of Computer Science and Engineering, University of Yamanashi, Kofu, Japan"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Yamanashi, Kofu, Japan","institution_ids":["https://openalex.org/I66906201"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059861871","display_name":"Xuanyu Jin","orcid":"https://orcid.org/0000-0001-5542-3340"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanyu Jin","raw_affiliation_strings":["College of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035350397","display_name":"Hua Hu","orcid":"https://orcid.org/0000-0002-4957-879X"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Hu","raw_affiliation_strings":["College of Computer Science, Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101640439","display_name":"Li Zhu","orcid":"https://orcid.org/0000-0002-8223-856X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhu","raw_affiliation_strings":["College of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049792294","display_name":"Kenji Ozawa","orcid":"https://orcid.org/0000-0002-5503-6620"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kenji Ozawa","raw_affiliation_strings":["College of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084291326","display_name":"Gang Pan","orcid":"https://orcid.org/0000-0002-4049-6181"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Pan","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003649465","display_name":"Wanzeng Kong","orcid":"https://orcid.org/0000-0002-0113-6968"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanzeng Kong","raw_affiliation_strings":["College of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5015600777"],"corresponding_institution_ids":["https://openalex.org/I50760025","https://openalex.org/I66906201"],"apc_list":null,"apc_paid":null,"fwci":1.4024,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82005029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"14","issue":"4","first_page":"1705","last_page":"1716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9995999932289124,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9995999932289124,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7823633551597595},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7300132513046265},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.6431832909584045},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6184393167495728},{"id":"https://openalex.org/keywords/conditional-probability-distribution","display_name":"Conditional probability distribution","score":0.5457297563552856},{"id":"https://openalex.org/keywords/marginal-distribution","display_name":"Marginal distribution","score":0.5449021458625793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.507056713104248},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4756602644920349},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4736301302909851},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4410879909992218},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4124453365802765},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36945149302482605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34093227982521057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1913301944732666},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.10131794214248657},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08561095595359802}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7823633551597595},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7300132513046265},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.6431832909584045},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6184393167495728},{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.5457297563552856},{"id":"https://openalex.org/C165216359","wikidata":"https://www.wikidata.org/wiki/Q670653","display_name":"Marginal distribution","level":3,"score":0.5449021458625793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.507056713104248},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4756602644920349},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4736301302909851},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4410879909992218},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4124453365802765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36945149302482605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34093227982521057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1913301944732666},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.10131794214248657},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08561095595359802},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2021.3137530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2021.3137530","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1050857325","display_name":null,"funder_award_id":"U1909202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6695886218","display_name":null,"funder_award_id":"U20B2074","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1595917421","https://openalex.org/W1910772337","https://openalex.org/W1991919071","https://openalex.org/W2001051735","https://openalex.org/W2013926069","https://openalex.org/W2043133488","https://openalex.org/W2052604480","https://openalex.org/W2057864263","https://openalex.org/W2095310269","https://openalex.org/W2096943734","https://openalex.org/W2104068492","https://openalex.org/W2115403315","https://openalex.org/W2123649031","https://openalex.org/W2129023315","https://openalex.org/W2147264168","https://openalex.org/W2149466042","https://openalex.org/W2164943005","https://openalex.org/W2165698076","https://openalex.org/W2186437392","https://openalex.org/W2187089797","https://openalex.org/W2222448723","https://openalex.org/W2329664094","https://openalex.org/W2525948926","https://openalex.org/W2616287544","https://openalex.org/W2793161294","https://openalex.org/W2810229480","https://openalex.org/W2883597459","https://openalex.org/W2884771968","https://openalex.org/W2911337763","https://openalex.org/W2963693396","https://openalex.org/W2963727766","https://openalex.org/W2972883610","https://openalex.org/W2980306787","https://openalex.org/W3015863006","https://openalex.org/W3039883906","https://openalex.org/W3041698047","https://openalex.org/W3090414386","https://openalex.org/W3162595154","https://openalex.org/W6681637710","https://openalex.org/W6775752134"],"related_works":["https://openalex.org/W2122857041","https://openalex.org/W4243126796","https://openalex.org/W12046094","https://openalex.org/W4249162344","https://openalex.org/W2497288182","https://openalex.org/W2952129880","https://openalex.org/W4294642871","https://openalex.org/W1539131693","https://openalex.org/W162901985","https://openalex.org/W4234449911"],"abstract_inverted_index":{"For":[0],"the":[1,35,39,59,93,102,106,116,120,137],"detection":[2,141],"of":[3,38],"electroencephalogram-based":[4],"driving":[5,138],"mental":[6,82,139],"states,":[7],"it":[8],"is":[9,112],"important":[10],"to":[11,15,57,114,127],"utilize":[12],"transfer":[13],"learning":[14],"overcome":[16],"individual":[17],"and":[18,41,48,61,95,122],"period":[19],"differences.":[20],"However,":[21],"there":[22],"are":[23],"two":[24,88],"challenges":[25],"in":[26],"existing":[27],"unsupervised":[28],"domain":[29],"adaptation":[30],"methods:":[31],"1)":[32],"they":[33,50],"ignore":[34],"geometric":[36,103],"divergence":[37],"source":[40,94],"target":[42,96],"domains":[43,128],"with":[44,74,129,148],"single":[45],"subspace":[46],"mapping":[47,76],"2)":[49],"usually":[51],"employ":[52],"a":[53,70],"fixed":[54],"weight":[55,118],"distribution":[56,72,109],"align":[58],"marginal":[60,121],"conditional":[62,123],"probability":[63,108],"distributions.":[64],"In":[65],"this":[66],"article,":[67],"we":[68],"propose":[69],"dynamic":[71,107],"alignment":[73,110],"dual-subspace":[75],"(DDADSM)":[77],"method":[78,111],"for":[79,92],"cross-subject":[80],"driver":[81],"state":[83,140],"detection.":[84],"Initially,":[85],"DDADSM":[86,143],"explores":[87],"optimally":[89],"aligned":[90],"subspaces":[91],"domains,":[97],"which":[98,125],"can":[99],"significantly":[100],"reduce":[101],"shifting.":[104],"Subsequently,":[105],"introduced":[113],"acquire":[115],"adaptive":[117],"between":[119],"distributions,":[124],"adapts":[126],"wide":[130],"variations.":[131],"Through":[132],"our":[133],"experiments":[134],"based":[135],"on":[136],"task,":[142],"demonstrated":[144],"superior":[145],"performance":[146],"compared":[147],"state-of-the-art":[149],"models.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
