{"id":"https://openalex.org/W4391306691","doi":"https://doi.org/10.1109/smc53992.2023.10393906","title":"SAT-Net: SincNet-Based Attentive Temporal Convolutional Network for Motor Imagery Classification","display_name":"SAT-Net: SincNet-Based Attentive Temporal Convolutional Network for Motor Imagery Classification","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391306691","doi":"https://doi.org/10.1109/smc53992.2023.10393906"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10393906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53992.2023.10393906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5100606264","display_name":"Jun-Mo Kim","orcid":"https://orcid.org/0000-0002-2238-3255"},"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":"Jun-Mo Kim","raw_affiliation_strings":["Korea University,Dept. Artificial Intelligence,Seoul,South Korea","Dept. Artificial Intelligence, Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University,Dept. Artificial Intelligence,Seoul,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Dept. Artificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102992465","display_name":"Soyeon Bak","orcid":"https://orcid.org/0009-0004-3324-5300"},"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":"Soyeon Bak","raw_affiliation_strings":["Korea University,Dept. Artificial Intelligence,Seoul,South Korea","Dept. Artificial Intelligence, Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University,Dept. Artificial Intelligence,Seoul,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Dept. Artificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044812605","display_name":"Hyeonyeong Nam","orcid":"https://orcid.org/0009-0002-9347-6149"},"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":"Hyeonyeong Nam","raw_affiliation_strings":["Korea University,Dept. Artificial Intelligence,Seoul,South Korea","Dept. Artificial Intelligence, Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University,Dept. Artificial Intelligence,Seoul,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Dept. Artificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084741729","display_name":"WooHyeok Choi","orcid":"https://orcid.org/0009-0002-1888-4281"},"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":"WooHyeok Choi","raw_affiliation_strings":["Korea University,Dept. Artificial Intelligence,Seoul,South Korea","Dept. Artificial Intelligence, Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University,Dept. Artificial Intelligence,Seoul,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Dept. Artificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Da-Hyun Kim","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":"Da-Hyun Kim","raw_affiliation_strings":["Korea University,Dept. Artificial Intelligence,Seoul,South Korea","Dept. Artificial Intelligence, Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University,Dept. Artificial Intelligence,Seoul,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Dept. Artificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075267855","display_name":"Tae\u2010Eui Kam","orcid":"https://orcid.org/0000-0002-6677-7176"},"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":"Tae-Eui Kam","raw_affiliation_strings":["Korea University,Dept. Artificial Intelligence,Seoul,South Korea","Dept. Artificial Intelligence, Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University,Dept. Artificial Intelligence,Seoul,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Dept. Artificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1544,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52343696,"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":"4452","last_page":"4457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9240000247955322,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9240000247955322,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9176999926567078,"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/T11431","display_name":"Action Observation and Synchronization","score":0.9151999950408936,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6327698230743408},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.5792142152786255},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5487648844718933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5397194027900696},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16314247250556946},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.12326890230178833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10688397288322449},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.08822643756866455},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06561648845672607}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6327698230743408},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.5792142152786255},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5487648844718933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5397194027900696},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16314247250556946},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.12326890230178833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10688397288322449},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.08822643756866455},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06561648845672607},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53992.2023.10393906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53992.2023.10393906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1857789879","https://openalex.org/W1980553000","https://openalex.org/W2011485792","https://openalex.org/W2097826706","https://openalex.org/W2103014813","https://openalex.org/W2116308679","https://openalex.org/W2132360759","https://openalex.org/W2142280324","https://openalex.org/W2152863712","https://openalex.org/W2291673890","https://openalex.org/W2557301950","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2789862225","https://openalex.org/W2792764867","https://openalex.org/W2808098316","https://openalex.org/W2896120927","https://openalex.org/W2910445838","https://openalex.org/W2940740645","https://openalex.org/W2951758041","https://openalex.org/W2964052309","https://openalex.org/W2971075653","https://openalex.org/W2990721662","https://openalex.org/W2992989584","https://openalex.org/W3092342532","https://openalex.org/W3102455230","https://openalex.org/W3121280022","https://openalex.org/W3122347867","https://openalex.org/W3129964406","https://openalex.org/W3135878171","https://openalex.org/W3153643636","https://openalex.org/W3191279200","https://openalex.org/W3207176643","https://openalex.org/W3212535881","https://openalex.org/W4214809163","https://openalex.org/W4226479556","https://openalex.org/W4286587846","https://openalex.org/W4300942166","https://openalex.org/W4361186056","https://openalex.org/W4379470214","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6749825310","https://openalex.org/W6963588625"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2041547723","https://openalex.org/W2951280790","https://openalex.org/W2573071966","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3100645810","https://openalex.org/W2069106223"],"abstract_inverted_index":{"Brain-computer":[0],"interfaces":[1],"(BCIs)":[2],"are":[3],"a":[4,84,107,116],"promising":[5],"method":[6,128],"for":[7,77,122,134],"users":[8],"to":[9,40,97,156,185,191],"interact":[10],"with":[11,145],"machines":[12],"using":[13],"brain":[14],"signals,":[15],"primarily":[16],"electroencephalography":[17],"(EEG).":[18],"Motor":[19],"imagery":[20,124],"(MI)-BCI,":[21],"which":[22],"decodes":[23],"EEG":[24,53,143],"signals":[25,54,144],"induced":[26],"by":[27,199],"the":[28,91,99,141,175,192,207],"user's":[29],"imagination":[30],"of":[31,90,137,166],"moving":[32],"body":[33],"parts,":[34],"has":[35],"gained":[36],"great":[37],"attention":[38],"due":[39],"its":[41],"applicability":[42],"in":[43,83],"various":[44],"fields":[45],"such":[46,58],"as":[47,59,102,106],"robotics":[48],"and":[49],"rehabilitation.":[50],"MI":[51],"-":[52],"exhibit":[55],"class-discriminative":[56],"patterns":[57],"event-related":[60],"de/synchronization":[61],"across":[62],"spectral-spatio-temporal":[63],"(SST)":[64],"domains.":[65],"Numerous":[66],"studies":[67],"adopted":[68,94],"deep":[69],"learning":[70,78],"framework,":[71],"especially":[72],"convolutional":[73,120,154],"neural":[74],"network":[75,121,155],"(CNN),":[76],"SST":[79,159],"feature":[80,160],"representations":[81,161],"automatically":[82],"data-driven":[85],"manner.":[86],"In":[87,110],"particular,":[88],"most":[89],"CNN-based":[92,187],"methods":[93],"temporal":[95,119,153,167],"convolution":[96,131],"learn":[98,158],"spectral":[100,138],"information,":[101],"it":[103,182],"can":[104],"act":[105],"band-pass":[108],"filter.":[109],"this":[111],"paper,":[112],"we":[113,149],"propose":[114],"SAT-Net,":[115],"SincNet-based":[117],"attentive":[118,152],"motor":[123],"classification.":[125],"The":[126,195],"proposed":[127,172],"utilizes":[129],"Sinc":[130],"from":[132,140],"SincNet":[133],"explicit":[135],"extraction":[136],"information":[139],"input":[142],"high":[146],"interpretability.":[147],"Moreover,":[148],"adopt":[150],"an":[151],"effectively":[157],"while":[162],"making":[163],"full":[164],"use":[165],"information.":[168],"We":[169],"evaluate":[170],"our":[171,204],"SAT-Net":[173],"on":[174],"public":[176],"BCI":[177],"Competition":[178],"IV-2a":[179],"dataset,":[180],"comparing":[181],"not":[183],"only":[184],"conventional":[186],"approaches":[188],"but":[189],"also":[190],"state-of-the-art":[193],"method.":[194],"experimental":[196],"results,":[197],"supported":[198],"statistical":[200],"analysis,":[201],"demonstrate":[202],"that":[203],"approach":[205],"outperforms":[206],"competing":[208],"methods.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}