{"id":"https://openalex.org/W4377089443","doi":"https://doi.org/10.1109/ner52421.2023.10123866","title":"On Transfer Learning for Naive Brain Computer Interface Users","display_name":"On Transfer Learning for Naive Brain Computer Interface Users","publication_year":2023,"publication_date":"2023-04-24","ids":{"openalex":"https://openalex.org/W4377089443","doi":"https://doi.org/10.1109/ner52421.2023.10123866"},"language":"en","primary_location":{"id":"doi:10.1109/ner52421.2023.10123866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ner52421.2023.10123866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","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/A5102004484","display_name":"Ruofan Liu","orcid":"https://orcid.org/0009-0007-9880-0290"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruofan Liu","raw_affiliation_strings":["The University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA","Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008806951","display_name":"Satyam Kumar","orcid":"https://orcid.org/0000-0002-5132-6460"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Satyam Kumar","raw_affiliation_strings":["The University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA","Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046912747","display_name":"Hussein Alawieh","orcid":"https://orcid.org/0000-0002-2888-4958"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hussein Alawieh","raw_affiliation_strings":["The University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA","Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082313242","display_name":"Evan Carnahan","orcid":"https://orcid.org/0000-0002-4316-4123"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evan Carnahan","raw_affiliation_strings":["The University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA","Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050363894","display_name":"Jos\u00e9 del R. Mill\u00e1n","orcid":"https://orcid.org/0000-0001-5819-1522"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 del R. Mill\u00e1n","raw_affiliation_strings":["The University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA","Department of Neurology, The University of Texas at Austin, Austin, TX, USA","Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Department of Neurology, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102004484"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.181,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46191467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.8556383848190308},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8087295293807983},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7886488437652588},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6851054430007935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5828152298927307},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.5657612681388855},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5217524170875549},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5151795148849487},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.513645350933075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4775020480155945},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41694363951683044},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.40058860182762146}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8556383848190308},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8087295293807983},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7886488437652588},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6851054430007935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5828152298927307},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.5657612681388855},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5217524170875549},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5151795148849487},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.513645350933075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4775020480155945},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41694363951683044},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.40058860182762146},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ner52421.2023.10123866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ner52421.2023.10123866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"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":23,"referenced_works":["https://openalex.org/W1999296691","https://openalex.org/W2062125287","https://openalex.org/W2096597330","https://openalex.org/W2099509424","https://openalex.org/W2132360759","https://openalex.org/W2152171700","https://openalex.org/W2154037495","https://openalex.org/W2165698076","https://openalex.org/W2517500902","https://openalex.org/W2549437649","https://openalex.org/W2559463885","https://openalex.org/W2794345050","https://openalex.org/W2801587739","https://openalex.org/W2808112130","https://openalex.org/W2951714494","https://openalex.org/W2971312107","https://openalex.org/W3042871078","https://openalex.org/W3097915809","https://openalex.org/W3102455230","https://openalex.org/W3139413607","https://openalex.org/W4309484358","https://openalex.org/W6679555981","https://openalex.org/W6767406340"],"related_works":["https://openalex.org/W1977940006","https://openalex.org/W2947925238","https://openalex.org/W2887556756","https://openalex.org/W195417223","https://openalex.org/W2951110009","https://openalex.org/W1513407214","https://openalex.org/W1984377984","https://openalex.org/W2510077457","https://openalex.org/W1961545574","https://openalex.org/W3045772920"],"abstract_inverted_index":{"Motor":[0],"Imagery":[1],"(MI)":[2],"based":[3],"Brain-Computer":[4],"Interfaces":[5],"(BCI)":[6],"typically":[7],"require":[8],"the":[9,36,58,66,118,130,133,138,161,166,189,196,208],"collection":[10],"of":[11,19,70,121,132,141],"subject-specific":[12,44,148,167,186,211],"calibration":[13,45,72,95,168,212],"data":[14,73,102,169],"to":[15,39,49,57,170,185,198],"build":[16],"a":[17,111,147,172],"classifier":[18],"motor":[20,139],"intent.":[21],"The":[22,43,68],"BCI":[23,126,144],"users":[24],"are":[25,202],"then":[26],"trained":[27],"over":[28],"multiple":[29],"online":[30],"sessions":[31],"with":[32],"real-time":[33],"feedback":[34],"using":[35,101],"calibrated":[37],"decoder":[38,97],"acquire":[40],"MI":[41,54,122],"skills.":[42],"session":[46],"is":[47,74],"thought":[48],"be":[50],"necessary":[51],"for":[52,84,210],"accurate":[53],"decoding":[55,82,156,215],"due":[56],"wide":[59],"variability":[60],"in":[61,188],"electroencephalogram":[62],"(EEG)":[63],"signals":[64],"across":[65,205],"population.":[67],"process":[69],"acquiring":[71],"long":[75],"and":[76,78,96,164,213],"tedious":[77],"includes":[79],"training":[80,98],"individualized":[81,94,214],"models":[83],"each":[85],"subject.":[86],"Transfer":[87],"Learning":[88],"setups":[89],"can":[90],"help":[91],"circumvent":[92],"this":[93],"phase":[99],"by":[100,136],"acquired":[103],"from":[104],"previous":[105],"subjects.":[106,145],"This":[107,193],"paper":[108],"first":[109],"proposes":[110],"geometry-aware":[112],"deep":[113],"learning":[114,174,191],"architecture":[115,181],"that":[116,178,201],"exploits":[117],"spatial":[119],"similarity":[120],"neural":[123],"activity":[124],"between":[125],"users.":[127],"We":[128,176],"show":[129,177],"efficacy":[131],"proposed":[134,151,162],"approach":[135],"classifying":[137],"intentions":[140],"18":[142],"naive":[143],"In":[146],"setting,":[149],"our":[150,179],"method":[152],"significantly":[153],"outperforms":[154],"classical":[155],"algorithms.":[157],"Next,":[158],"we":[159],"train":[160],"network":[163],"skip":[165],"mimic":[171],"transfer":[173,190],"setting.":[175,192],"model":[180],"achieves":[182],"similar":[183],"performance":[184],"decoders":[187],"finding":[194],"opens":[195],"door":[197],"robust":[199],"BCIs":[200],"readily":[203],"transferable":[204],"subjects":[206],"without":[207],"need":[209],"models.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
