{"id":"https://openalex.org/W4312378757","doi":"https://doi.org/10.1109/icpr56361.2022.9956445","title":"Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface","display_name":"Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312378757","doi":"https://doi.org/10.1109/icpr56361.2022.9956445"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956445","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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/A5087421049","display_name":"Byeong-Hoo Lee","orcid":"https://orcid.org/0000-0001-8273-1293"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Byeong-Hoo Lee","raw_affiliation_strings":["Korea University,Department of Brain and Cognitive Engineering,Seoul,South Korea","Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Department of Brain and Cognitive Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101894271","display_name":"Jeong-Hyun Cho","orcid":"https://orcid.org/0000-0003-4837-6333"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong-Hyun Cho","raw_affiliation_strings":["Korea University,Department of Brain and Cognitive Engineering,Seoul,South Korea","Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Department of Brain and Cognitive Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079768332","display_name":"Byoung-Hee Kwon","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byoung-Hee Kwon","raw_affiliation_strings":["Korea University,Department of Brain and Cognitive Engineering,Seoul,South Korea","Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Department of Brain and Cognitive Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011014617","display_name":"Seong\u2010Whan Lee","orcid":"https://orcid.org/0000-0002-6249-4996"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Whan Lee","raw_affiliation_strings":["Korea University,Department of Artificial Intelligence,Seoul,South Korea","Department of Artificial Intelligence, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Department of Artificial Intelligence,Seoul,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087421049"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.401,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50938967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1090","last_page":"1097"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9973000288009644,"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":0.7935822010040283},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6927089691162109},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6633533835411072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5954868197441101},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5734222531318665},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5587201714515686},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5178577899932861},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48249387741088867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4584569036960602},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44327986240386963},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42182230949401855},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.41088995337486267},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.3773508667945862},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.12399393320083618},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1211804747581482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7935822010040283},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6927089691162109},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6633533835411072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5954868197441101},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5734222531318665},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5587201714515686},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5178577899932861},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48249387741088867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4584569036960602},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44327986240386963},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42182230949401855},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.41088995337486267},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.3773508667945862},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.12399393320083618},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1211804747581482},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956445","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321373","display_name":"Korea University","ror":"https://ror.org/047dqcg40"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W92469554","https://openalex.org/W1493718371","https://openalex.org/W1966527337","https://openalex.org/W1983291852","https://openalex.org/W1990746954","https://openalex.org/W2004518996","https://openalex.org/W2048857879","https://openalex.org/W2083677758","https://openalex.org/W2119163516","https://openalex.org/W2126013367","https://openalex.org/W2132360759","https://openalex.org/W2159685497","https://openalex.org/W2160783467","https://openalex.org/W2162315509","https://openalex.org/W2337065964","https://openalex.org/W2416750880","https://openalex.org/W2505613605","https://openalex.org/W2507528282","https://openalex.org/W2559463885","https://openalex.org/W2593768305","https://openalex.org/W2610702455","https://openalex.org/W2737156152","https://openalex.org/W2739095506","https://openalex.org/W2741907166","https://openalex.org/W2742638082","https://openalex.org/W2743161869","https://openalex.org/W2792724009","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2913246999","https://openalex.org/W2927702442","https://openalex.org/W2951108876","https://openalex.org/W2953127297","https://openalex.org/W2961886491","https://openalex.org/W2963285578","https://openalex.org/W2963784072","https://openalex.org/W2984514542","https://openalex.org/W2986984881","https://openalex.org/W2996870312","https://openalex.org/W2998747857","https://openalex.org/W3012521722","https://openalex.org/W3015568869","https://openalex.org/W3033046106","https://openalex.org/W3080551539","https://openalex.org/W3092388469","https://openalex.org/W3102455230","https://openalex.org/W3113291522","https://openalex.org/W3123791969","https://openalex.org/W3158987839","https://openalex.org/W3159174613","https://openalex.org/W3159795318","https://openalex.org/W3160544014","https://openalex.org/W3163107903","https://openalex.org/W3163365153","https://openalex.org/W3163456394","https://openalex.org/W3173331776","https://openalex.org/W3174285493","https://openalex.org/W3178661765","https://openalex.org/W3214606349","https://openalex.org/W4205588103","https://openalex.org/W4214551869","https://openalex.org/W4225892118","https://openalex.org/W4226479556","https://openalex.org/W6679555981","https://openalex.org/W6683885849","https://openalex.org/W6685562342","https://openalex.org/W6720691552","https://openalex.org/W6725448924","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6765814706","https://openalex.org/W6781759393","https://openalex.org/W6804125026","https://openalex.org/W6811190590"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W2889342546","https://openalex.org/W1913385466","https://openalex.org/W2015048155","https://openalex.org/W1969223073","https://openalex.org/W1616854372","https://openalex.org/W3004117467"],"abstract_inverted_index":{"Recently,":[0],"advanced":[1],"technologies":[2,18],"have":[3,19],"unlimited":[4],"potential":[5],"in":[6,25,41,44,53],"solving":[7],"various":[8],"problems":[9],"with":[10,31,131],"a":[11,82,116,154,169],"large":[12,42],"amount":[13,47],"of":[14,48],"data.":[15],"However,":[16],"these":[17],"yet":[20],"to":[21,39,87,91,187],"show":[22],"competitive":[23],"performance":[24],"brain-computer":[26],"interfaces":[27],"(BCIs)":[28],"which":[29],"deal":[30],"brain":[32,35],"signals.":[33],"Basically,":[34],"signals":[36,157],"are":[37,129,158],"difficult":[38],"collect":[40],"quantities,":[43],"particular,":[45],"the":[46,69,89,136,141,146,175,181,185],"information":[49],"would":[50],"be":[51],"sparse":[52,77,194],"spontaneous":[54],"BCIs.":[55],"In":[56],"addition,":[57],"we":[58,101,177],"conjecture":[59],"that":[60,127,179],"high":[61],"spatial":[62],"and":[63,143,190],"temporal":[64],"similarities":[65],"between":[66],"tasks":[67],"increase":[68],"prediction":[70],"difficulty.":[71],"We":[72],"define":[73],"this":[74,99],"problem":[75],"as":[76,115],"condition.":[78,195],"To":[79,98,134],"solve":[80],"this,":[81],"factorization":[83],"approach":[84],"is":[85,109,148],"introduced":[86],"allow":[88],"model":[90,147,186],"obtain":[92],"distinct":[93],"representations":[94],"from":[95,124],"latent":[96,137,163],"space.":[97],"end,":[100],"propose":[102],"two":[103,161],"feature":[104],"extractors:":[105],"A":[106],"class-common":[107,142],"module":[108,119],"trained":[110,149],"through":[111],"adversarial":[112],"learning":[113],"acting":[114],"generator;":[117],"Class-specific":[118],"utilizes":[120],"loss":[121],"function":[122],"generated":[123],"classification":[125],"so":[126],"features":[128,192],"extracted":[130],"traditional":[132],"methods.":[133],"minimize":[135],"space":[138],"shared":[139],"by":[140],"class-specific":[144],"features,":[145],"under":[150,193],"orthogonal":[151],"constraint.":[152],"As":[153],"result,":[155],"EEG":[156,182],"factorized":[159],"into":[160],"separate":[162],"spaces.":[164],"Evaluations":[165],"were":[166],"conducted":[167],"on":[168],"single-arm":[170],"motor":[171],"imagery":[172],"dataset.":[173],"From":[174],"results,":[176],"demonstrated":[178],"factorizing":[180],"signal":[183],"allows":[184],"extract":[188],"rich":[189],"decisive":[191]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}