{"id":"https://openalex.org/W2993344519","doi":"https://doi.org/10.1109/icawst.2019.8923216","title":"Utilizing Subject-Specific Discriminative EEG Features for Classification of Motor Imagery Directions","display_name":"Utilizing Subject-Specific Discriminative EEG Features for Classification of Motor Imagery Directions","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2993344519","doi":"https://doi.org/10.1109/icawst.2019.8923216","mag":"2993344519"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2019.8923216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","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/A5036437730","display_name":"Kavitha P. Thomas","orcid":"https://orcid.org/0000-0002-8134-2242"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Kavitha P Thomas","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075333146","display_name":"Neethu Robinson","orcid":"https://orcid.org/0000-0001-8531-2940"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Neethu Robinson","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042105714","display_name":"A. P. Vinod","orcid":"https://orcid.org/0000-0001-9408-1275"},"institutions":[{"id":"https://openalex.org/I4210113248","display_name":"Indian Institute of Technology Palakkad","ror":"https://ror.org/0264cg909","country_code":"IN","type":"facility","lineage":["https://openalex.org/I4210113248"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. P. Vinod","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Palakkad, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Palakkad, India","institution_ids":["https://openalex.org/I4210113248"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036437730"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.6081,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.67246164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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":0.9925000071525574,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.991100013256073,"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/discriminative-model","display_name":"Discriminative model","score":0.8928309679031372},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.8734373450279236},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7597466111183167},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.7223252654075623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7179685831069946},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6727893352508545},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6689968109130859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6435408592224121},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5395312905311584},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4895378053188324},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.46454381942749023},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.42876869440078735},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10875603556632996},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06573548913002014}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8928309679031372},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8734373450279236},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7597466111183167},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.7223252654075623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7179685831069946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6727893352508545},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6689968109130859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6435408592224121},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5395312905311584},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4895378053188324},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46454381942749023},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.42876869440078735},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10875603556632996},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06573548913002014},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icawst.2019.8923216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-106515","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-106515","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-106515","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000521753600092","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1969878365","https://openalex.org/W2014692147","https://openalex.org/W2043050710","https://openalex.org/W2103318099","https://openalex.org/W2110863214","https://openalex.org/W2130286991","https://openalex.org/W2131966354","https://openalex.org/W2151727377","https://openalex.org/W2154037495","https://openalex.org/W2156832349","https://openalex.org/W2168500935","https://openalex.org/W2596352299","https://openalex.org/W2769043698","https://openalex.org/W2890380934","https://openalex.org/W2894693499"],"related_works":["https://openalex.org/W1978174090","https://openalex.org/W2380520431","https://openalex.org/W2993344519","https://openalex.org/W2538631202","https://openalex.org/W2964596665","https://openalex.org/W2951758041","https://openalex.org/W2171882657","https://openalex.org/W2171872429","https://openalex.org/W3139393943","https://openalex.org/W2400871238"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)-based":[1],"BrainComputer":[2],"Interface":[3],"(BCI)":[4],"technology":[5],"needs":[6],"efficient":[7],"algorithms":[8],"to":[9,14,138],"find":[10],"distinct":[11,18],"EEG":[12,32,62],"patterns/features":[13],"realize":[15],"applications":[16],"with":[17,85],"high-dimensional":[19],"control":[20],"signals.":[21],"This":[22],"paper":[23],"proposes":[24],"a":[25],"novel":[26],"feature":[27,49],"extraction":[28],"methodology":[29,84],"for":[30],"separating":[31],"patterns":[33],"associated":[34],"right":[35,43],"hand":[36],"motor":[37],"imagery":[38],"performed":[39],"towards":[40,148],"left":[41],"and":[42,91,135],"directions.":[44],"The":[45],"most":[46],"discriminative":[47,97],"subject-specific":[48,96,123],"set":[50,114],"is":[51,75,106,119],"chosen":[52],"based":[53],"on":[54],"Fisher's":[55],"ratio":[56],"of":[57,61,77,130],"absolute":[58,89],"phase":[59,90],"values":[60],"in":[63,108,143],"6":[64],"low":[65],"frequency":[66],"sub":[67],"bands.":[68],"Using":[69],"this,":[70],"the":[71,112,140],"proposed":[72],"BCI":[73,124,150],"system":[74],"capable":[76],"providing":[78,109],"better":[79],"classification":[80],"results":[81],"than":[82],"state-ofthe-art":[83],"fixed":[86],"channels,":[87],"fusing":[88],"spatial":[92],"features":[93],"from":[94],"selected":[95],"channels.":[98],"Experimental":[99],"analysis":[100],"shows":[101],"that":[102,115,125],"though":[103],"parietal":[104,144],"lobe":[105,145],"vital":[107],"distinguishable":[110],"features,":[111],"channel":[113],"provide":[116],"maximum":[117],"accuracy,":[118],"highly":[120],"subject-specific.":[121],"Hence,":[122],"can":[126,146],"decode":[127],"finer":[128],"parameters":[129],"imagined":[131],"movement":[132],"are":[133],"feasible":[134],"further":[136],"research":[137],"understand":[139],"activations":[141],"elicited":[142],"contribute":[147],"robust":[149],"systems.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}