{"id":"https://openalex.org/W2186437392","doi":"https://doi.org/10.1109/acii.2015.7344684","title":"Transfer components between subjects for EEG-based emotion recognition","display_name":"Transfer components between subjects for EEG-based emotion recognition","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2186437392","doi":"https://doi.org/10.1109/acii.2015.7344684","mag":"2186437392"},"language":"en","primary_location":{"id":"doi:10.1109/acii.2015.7344684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii.2015.7344684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","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/A5056335002","display_name":"Wei\u2010Long Zheng","orcid":"https://orcid.org/0000-0002-9474-6369"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei-Long Zheng","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102989996","display_name":"Yongqi Zhang","orcid":"https://orcid.org/0000-0003-2085-7418"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong-Qi Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101324132","display_name":"Jiayi Zhu","orcid":"https://orcid.org/0009-0000-4094-1735"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-Yi Zhu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040440605","display_name":"Bao\u2010Liang Lu","orcid":"https://orcid.org/0000-0001-8359-0058"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao-Liang Lu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056335002"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.3149,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.88236478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"917","last_page":"922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7177537679672241},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7032358646392822},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6911698579788208},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6763433218002319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6413087248802185},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.6248145699501038},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5818586349487305},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5706998109817505},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5622079372406006},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5378050208091736},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.5161343812942505},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.502692461013794},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.46940410137176514},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4454723000526428},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.4379054307937622},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4230625033378601},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.41849660873413086},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.24048969149589539},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.224094420671463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19400134682655334},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11556103825569153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177537679672241},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7032358646392822},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6911698579788208},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6763433218002319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6413087248802185},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.6248145699501038},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5818586349487305},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5706998109817505},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5622079372406006},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5378050208091736},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.5161343812942505},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.502692461013794},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46940410137176514},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4454723000526428},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.4379054307937622},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4230625033378601},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.41849660873413086},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.24048969149589539},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.224094420671463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19400134682655334},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11556103825569153},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acii.2015.7344684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii.2015.7344684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.714.9085","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.714.9085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://bcmi.sjtu.edu.cn/%7Eblu/papers/2015/21.PDF","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1947251450","https://openalex.org/W1970727126","https://openalex.org/W1981658663","https://openalex.org/W1996167318","https://openalex.org/W2005045639","https://openalex.org/W2017144821","https://openalex.org/W2018364998","https://openalex.org/W2026292399","https://openalex.org/W2051218759","https://openalex.org/W2081420711","https://openalex.org/W2109773980","https://openalex.org/W2115403315","https://openalex.org/W2117645142","https://openalex.org/W2118585731","https://openalex.org/W2125865219","https://openalex.org/W2132889650","https://openalex.org/W2138964882","https://openalex.org/W2139564752","https://openalex.org/W2140095548","https://openalex.org/W2165698076","https://openalex.org/W2167716931","https://openalex.org/W2168765820","https://openalex.org/W2186219277","https://openalex.org/W2407512993","https://openalex.org/W6640737715","https://openalex.org/W6677656871","https://openalex.org/W6678814708","https://openalex.org/W6713572877"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2044053727","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2914170859","https://openalex.org/W2889342546","https://openalex.org/W2121429698","https://openalex.org/W3153926117"],"abstract_inverted_index":{"Addressing":[0],"the":[1,21,92,104,109,123,135,143],"structural":[2],"and":[3,57,82,114,129,145],"functional":[4],"variability":[5],"between":[6],"subjects":[7],"for":[8,24,37,63,150],"robust":[9],"affective":[10],"brain-computer":[11],"interface":[12],"(aBCI)":[13],"is":[14,26,69],"challenging":[15],"but":[16],"of":[17,74,94,97,127,134,137,147],"great":[18],"importance,":[19],"since":[20],"calibration":[22],"phase":[23],"aBCI":[25],"time-consuming.":[27],"In":[28],"this":[29,90],"paper,":[30],"we":[31,106],"propose":[32],"a":[33,72],"subject":[34,64,151],"transfer":[35,53,75,152],"framework":[36],"electroencephalogram":[38],"(EEG)-based":[39],"emotion":[40,153],"recognition":[41,154],"via":[42],"component":[43,54,60],"analysis.":[44],"We":[45],"compare":[46],"two":[47,110],"state-of-the-art":[48],"subspace":[49],"projecting":[50],"approaches":[51,149],"called":[52],"analysis":[55,61],"(TCA)":[56],"kernel":[58],"principle":[59],"(KPCA)":[62],"transfer.":[65],"The":[66,139],"main":[67],"idea":[68],"to":[70,89],"learn":[71],"set":[73],"components":[76],"underlying":[77],"source":[78],"domain":[79,84],"(source":[80],"subjects)":[81],"target":[83],"(target":[85],"subject).":[86],"When":[87],"projected":[88],"subspace,":[91],"difference":[93],"feature":[95],"distributions":[96],"both":[98],"domains":[99],"can":[100,116],"be":[101],"reduced.":[102],"From":[103],"experiments,":[105],"show":[107],"that":[108],"proposed":[111],"approaches,":[112],"TCA":[113],"KPCA,":[115],"achieve":[117],"an":[118],"improvement":[119,141],"on":[120],"performance":[121],"with":[122],"best":[124],"mean":[125],"accuracies":[126],"71.80%":[128],"79.83%,":[130],"respectively,":[131],"in":[132],"comparison":[133],"baseline":[136],"58.95%.":[138],"significant":[140],"shows":[142],"feasibility":[144],"efficiency":[146],"our":[148],"from":[155],"EEG":[156],"signals.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}