{"id":"https://openalex.org/W1971029950","doi":"https://doi.org/10.1109/ictc.2013.6675451","title":"Applying Kalman filter in EEG-Based Brain Computer Interface for Motor Imagery classification","display_name":"Applying Kalman filter in EEG-Based Brain Computer Interface for Motor Imagery classification","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W1971029950","doi":"https://doi.org/10.1109/ictc.2013.6675451","mag":"1971029950"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2013.6675451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2013.6675451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on ICT Convergence (ICTC)","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/A5024586905","display_name":"Nik Khadijah Nik Aznan","orcid":"https://orcid.org/0000-0002-9469-6306"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Nik Khadijah Nik Aznan","raw_affiliation_strings":["School of Electronic Engineering, Kumoh National Institute of Technology","Sch. of Electron. Eng., Kumoh Nat. Inst. of Technol., Gumi, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Kumoh National Institute of Technology","institution_ids":["https://openalex.org/I113409471"]},{"raw_affiliation_string":"Sch. of Electron. Eng., Kumoh Nat. Inst. of Technol., Gumi, South Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045774017","display_name":"Yeon-Mo Yang","orcid":"https://orcid.org/0000-0002-2688-302X"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeon-Mo Yang","raw_affiliation_strings":["School of Electronic Engineering, Kumoh National Institute of Technology","Sch. of Electron. Eng., Kumoh Nat. Inst. of Technol., Gumi, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Kumoh National Institute of Technology","institution_ids":["https://openalex.org/I113409471"]},{"raw_affiliation_string":"Sch. of Electron. Eng., Kumoh Nat. Inst. of Technol., Gumi, South Korea","institution_ids":["https://openalex.org/I113409471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024586905"],"corresponding_institution_ids":["https://openalex.org/I113409471"],"apc_list":null,"apc_paid":null,"fwci":0.4559,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.61693522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"688","last_page":"690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9722999930381775,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9682999849319458,"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/motor-imagery","display_name":"Motor imagery","score":0.8424115777015686},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7856369018554688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7418392896652222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6970628499984741},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6926933526992798},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6775846481323242},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6661430597305298},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6416085362434387},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5281139612197876},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.527381181716919},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.49877285957336426},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4866405427455902},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4440498352050781},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4312777519226074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38701343536376953},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3485739231109619},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.09910500049591064}],"concepts":[{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.8424115777015686},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7856369018554688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7418392896652222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6970628499984741},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6926933526992798},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6775846481323242},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6661430597305298},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6416085362434387},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5281139612197876},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.527381181716919},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.49877285957336426},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4866405427455902},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4440498352050781},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4312777519226074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38701343536376953},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3485739231109619},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.09910500049591064},{"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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/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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc.2013.6675451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2013.6675451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on ICT Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W254541766","https://openalex.org/W2038120455","https://openalex.org/W2152119085","https://openalex.org/W2156832349","https://openalex.org/W2545452841","https://openalex.org/W6609662170"],"related_works":["https://openalex.org/W2951758041","https://openalex.org/W2171882657","https://openalex.org/W2050194476","https://openalex.org/W2783179984","https://openalex.org/W3180055534","https://openalex.org/W2756579780","https://openalex.org/W2375356523","https://openalex.org/W2115206060","https://openalex.org/W2171872429","https://openalex.org/W4212949250"],"abstract_inverted_index":{"Human":[0],"imagination":[1],"and":[2,31,56,72,77,104,121],"intention":[3],"can":[4],"be":[5],"read":[6],"by":[7,82,156],"using":[8,83,157],"the":[9,20,33,41,50,53,61,69,74,79,84,91,95,102,105,108,119,122,128,146,158,163],"Electroencephalography(EEG)-Based":[10],"Brain":[11],"Computer":[12],"Interface(BCI)":[13],"for":[14,40],"Motor":[15],"Imagery.":[16],"The":[17,64,110,151],"systems":[18],"reads":[19],"human":[21],"brain":[22],"which":[23,137],"consists":[24],"of":[25,107],"left":[26],"or":[27],"right":[28],"imaginary":[29],"movement":[30],"decide":[32],"actual":[34,62],"movement.":[35],"It":[36],"is":[37,115,138],"useful":[38],"especially":[39],"disable":[42],"people":[43],"to":[44,67,94,100,117,144,162],"help":[45],"their":[46],"daily":[47],"life.":[48],"But":[49],"signals":[51,55,71],"include":[52],"unwanted":[54,70],"other":[57,134,164],"features":[58],"together":[59],"with":[60],"signal.":[63],"challenges":[65],"are":[66],"remove":[68],"extract":[73,118],"accurate":[75],"feature":[76,120],"classify":[78],"signal":[80,97],"accurately":[81],"best":[85],"classification":[86,129,135],"method.":[87,130,165],"This":[88],"paper":[89],"applied":[90],"Kalman":[92],"filter":[93],"BCI's":[96],"processing":[98],"methods":[99],"improve":[101],"accuracy":[103],"reliability":[106],"systems.":[109],"Common":[111],"Spatial":[112],"Pattern":[113],"(CSP)":[114],"used":[116],"Radial":[123],"Basis":[124],"Function":[125],"(RBF)":[126],"as":[127],"We":[131],"also":[132],"compared":[133,161],"method":[136,160],"Fisher":[139],"Linear":[140],"Discriminant":[141],"Analysis":[142],"(FLDA)":[143],"show":[145],"RBF":[147],"gives":[148],"better":[149],"result.":[150],"simulation":[152],"result":[153],"shows":[154],"improvement":[155],"proposed":[159]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}