{"id":"https://openalex.org/W4402594317","doi":"https://doi.org/10.1109/icce-taiwan62264.2024.10674468","title":"A Subject-Specific Time Window Selection Method for Motor Imagery BCI","display_name":"A Subject-Specific Time Window Selection Method for Motor Imagery BCI","publication_year":2024,"publication_date":"2024-07-09","ids":{"openalex":"https://openalex.org/W4402594317","doi":"https://doi.org/10.1109/icce-taiwan62264.2024.10674468"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan62264.2024.10674468","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-taiwan62264.2024.10674468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","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/A5108781844","display_name":"Yibing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yibing Zhang","raw_affiliation_strings":["Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100695573","display_name":"Wenshan Zhao","orcid":"https://orcid.org/0000-0003-1183-5030"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenshan Zhao","raw_affiliation_strings":["Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108781844"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1995875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"183","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.9621999859809875,"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"}},"topics":[{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.9621999859809875,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9435999989509583,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9049999713897705,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.8374541997909546},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.7375587224960327},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6806815266609192},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.6086797118186951},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5229652523994446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5077887177467346},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.411146879196167},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.36214250326156616},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3613724708557129},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1504686176776886},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1253282129764557},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.05815994739532471}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8374541997909546},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.7375587224960327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6806815266609192},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.6086797118186951},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5229652523994446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5077887177467346},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.411146879196167},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.36214250326156616},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3613724708557129},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1504686176776886},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1253282129764557},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.05815994739532471}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan62264.2024.10674468","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-taiwan62264.2024.10674468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1531467239","https://openalex.org/W2010371409","https://openalex.org/W2090262261","https://openalex.org/W2116308679","https://openalex.org/W2151669316","https://openalex.org/W2559463885","https://openalex.org/W3126287844","https://openalex.org/W4312597583"],"related_works":["https://openalex.org/W1977940006","https://openalex.org/W2887556756","https://openalex.org/W2947925238","https://openalex.org/W195417223","https://openalex.org/W1513407214","https://openalex.org/W1984377984","https://openalex.org/W1961545574","https://openalex.org/W2510077457","https://openalex.org/W3045772920","https://openalex.org/W2047816336"],"abstract_inverted_index":{"Brain-computer":[0],"interface":[1],"based":[2,60],"on":[3,61,90],"motor":[4],"imagery":[5],"(MI)":[6],"electroencephalogram":[7],"is":[8],"a":[9,53],"promising":[10],"technology":[11],"for":[12],"the":[13,16,20,26,35,42,50,69,73],"future.":[14],"However,":[15],"time":[17,44,55],"latency":[18],"during":[19],"MI":[21,79],"period":[22],"exhibits":[23],"variability":[24],"among":[25],"trials":[27],"of":[28,37,85],"different":[29],"subjects,":[30],"which":[31],"can":[32],"significantly":[33],"affect":[34],"segmentation":[36],"each":[38],"subject's":[39],"trial":[40],"using":[41],"fixed":[43],"window.":[45],"To":[46],"address":[47],"this":[48],"issue,":[49],"study":[51],"proposes":[52],"subject-specific":[54],"window":[56],"selection":[57],"(TWS)":[58],"method":[59],"wavelet":[62],"transform.":[63],"The":[64],"experiment":[65],"results":[66],"show":[67],"that":[68],"proposed":[70],"TWS":[71],"achieves":[72],"highest":[74],"accuracy":[75],"across":[76],"all":[77],"three":[78],"classification":[80,83],"methods,":[81],"with":[82],"accuracies":[84],"77.19%,":[86],"83.98%,":[87],"and":[88],"85.33%":[89],"average":[91],"respectively.":[92]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}