{"id":"https://openalex.org/W2910121235","doi":"https://doi.org/10.1109/access.2019.2892492","title":"Cross-Correlation Aided Ensemble of Classifiers for BCI Oriented EEG Study","display_name":"Cross-Correlation Aided Ensemble of Classifiers for BCI Oriented EEG Study","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2910121235","doi":"https://doi.org/10.1109/access.2019.2892492","mag":"2910121235"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2892492","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2892492","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08616765.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08616765.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091016833","display_name":"Parnika Paranjape","orcid":"https://orcid.org/0000-0003-1604-887X"},"institutions":[{"id":"https://openalex.org/I167153416","display_name":"Visvesvaraya National Institute of Technology","ror":"https://ror.org/02zrtpp84","country_code":"IN","type":"education","lineage":["https://openalex.org/I167153416"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Parnika N. Paranjape","raw_affiliation_strings":["Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, India"],"raw_orcid":"https://orcid.org/0000-0003-1604-887X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, India","institution_ids":["https://openalex.org/I167153416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023806704","display_name":"Meera Dhabu","orcid":"https://orcid.org/0000-0001-5952-6857"},"institutions":[{"id":"https://openalex.org/I167153416","display_name":"Visvesvaraya National Institute of Technology","ror":"https://ror.org/02zrtpp84","country_code":"IN","type":"education","lineage":["https://openalex.org/I167153416"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Meera M. Dhabu","raw_affiliation_strings":["Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, India","institution_ids":["https://openalex.org/I167153416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053173905","display_name":"Parag Deshpande","orcid":"https://orcid.org/0000-0003-4051-4666"},"institutions":[{"id":"https://openalex.org/I167153416","display_name":"Visvesvaraya National Institute of Technology","ror":"https://ror.org/02zrtpp84","country_code":"IN","type":"education","lineage":["https://openalex.org/I167153416"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Parag S. Deshpande","raw_affiliation_strings":["Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, India","institution_ids":["https://openalex.org/I167153416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064224905","display_name":"Akshay Kekre","orcid":"https://orcid.org/0000-0003-0378-9919"},"institutions":[{"id":"https://openalex.org/I167153416","display_name":"Visvesvaraya National Institute of Technology","ror":"https://ror.org/02zrtpp84","country_code":"IN","type":"education","lineage":["https://openalex.org/I167153416"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Akshay M. Kekre","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, India"],"raw_orcid":"https://orcid.org/0000-0003-0378-9919","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, India","institution_ids":["https://openalex.org/I167153416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091016833"],"corresponding_institution_ids":["https://openalex.org/I167153416"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.6198,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.82379454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"11985","last_page":"11996"},"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":0.9847999811172485,"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":0.9843000173568726,"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":0.8490784168243408},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7993060350418091},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7795100808143616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7536784410476685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6506898999214172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6469432711601257},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6379877328872681},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4864880442619324},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4860246777534485},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.42289024591445923},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.42204350233078003},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.38798877596855164},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11119681596755981}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8490784168243408},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7993060350418091},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7795100808143616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7536784410476685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6506898999214172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6469432711601257},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6379877328872681},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4864880442619324},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4860246777534485},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.42289024591445923},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.42204350233078003},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38798877596855164},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11119681596755981},{"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/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2892492","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2892492","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08616765.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:51022b653fac493a81f64ad83655b631","is_oa":false,"landing_page_url":"https://doaj.org/article/51022b653fac493a81f64ad83655b631","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 11985-11996 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2892492","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2892492","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08616765.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2910121235.pdf","grobid_xml":"https://content.openalex.org/works/W2910121235.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1490699131","https://openalex.org/W1527457848","https://openalex.org/W1985762823","https://openalex.org/W2020873378","https://openalex.org/W2039930961","https://openalex.org/W2047170442","https://openalex.org/W2059915684","https://openalex.org/W2080146971","https://openalex.org/W2083742331","https://openalex.org/W2089951337","https://openalex.org/W2094017272","https://openalex.org/W2095607795","https://openalex.org/W2097826706","https://openalex.org/W2108439998","https://openalex.org/W2114029543","https://openalex.org/W2115622682","https://openalex.org/W2125675750","https://openalex.org/W2127769318","https://openalex.org/W2128379882","https://openalex.org/W2131321253","https://openalex.org/W2136897104","https://openalex.org/W2140413964","https://openalex.org/W2140539276","https://openalex.org/W2150764079","https://openalex.org/W2153912116","https://openalex.org/W2156832349","https://openalex.org/W2167624874","https://openalex.org/W2168689324","https://openalex.org/W2172123257","https://openalex.org/W2463612651","https://openalex.org/W2513213398","https://openalex.org/W2521472744","https://openalex.org/W2560384232","https://openalex.org/W2589462861","https://openalex.org/W2619802472","https://openalex.org/W2740113900","https://openalex.org/W2802685589","https://openalex.org/W2883805690","https://openalex.org/W2895258853","https://openalex.org/W6743296934"],"related_works":["https://openalex.org/W2321737855","https://openalex.org/W2293800410","https://openalex.org/W3183638985","https://openalex.org/W1991496323","https://openalex.org/W4320021951","https://openalex.org/W2216848651","https://openalex.org/W2106231951","https://openalex.org/W2032664813","https://openalex.org/W4241742979","https://openalex.org/W2144490279"],"abstract_inverted_index":{"Recently,":[0],"Brain-computer":[1],"interface":[2],"(BCI)":[3],"oriented":[4],"electroencephalographic":[5],"(EEG)":[6],"studies":[7],"have":[8],"received":[9],"due":[10],"attention":[11],"for":[12,34,124,160,185],"decoding":[13],"human":[14],"brain":[15],"signals":[16,56,122,155],"corresponding":[17],"to":[18,28,53,79,133,138,147,203,217],"a":[19,50,87,186,195],"specific":[20],"mental":[21,59,127],"state":[22],"and":[23,68,95,136,214,226],"providing":[24],"an":[25,106],"alternate":[26],"solution":[27],"the":[29,37,65,75,101,118,125,149,161,166,169,173,180,199,208,218,230,233],"disabled":[30],"or":[31,41],"paralyzed":[32],"persons":[33],"communicating":[35],"with":[36,112],"computer,":[38],"robotic":[39],"arm,":[40],"various":[42],"neural":[43],"prostheses.":[44],"In":[45],"this":[46,192],"paper,":[47],"we":[48],"propose":[49],"two-phase":[51],"approach":[52,171],"distinguish":[54],"EEG":[55,121,162,183],"of":[57,89,108,144,168,232],"different":[58],"tasks.":[60],"The":[61,83,141],"first":[62,119],"phase":[63,85],"combines":[64],"cross-correlation":[66,145],"features":[67,215],"slow":[69],"cortical":[70],"potentials":[71],"mean":[72],"extracted":[73,116],"from":[74],"most":[76],"significant":[77,196],"channels":[78,213,225],"form":[80],"feature":[81,91,114],"vectors.":[82],"second":[84],"performs":[86],"classification":[88,102,200],"these":[90],"vectors":[92],"using":[93],"SVM":[94,109],"KNN":[96],"classifiers.":[97],"It":[98],"further":[99],"boosts":[100],"performance":[103,167],"by":[104],"creating":[105],"ensemble":[107],"classifiers":[110],"trained":[111],"complementary":[113],"sets":[115],"during":[117],"phase.":[120],"generated":[123],"same":[126],"task":[128],"are":[129],"similar":[130],"in":[131,151,198],"shape":[132,152],"each":[134],"other":[135,139,204],"dissimilar":[137],"activities.":[140],"basic":[142],"principle":[143],"is":[146],"measure":[148],"similarity":[150],"between":[153],"two":[154],"which":[156,221],"makes":[157],"it":[158],"suitable":[159],"analysis.":[163],"We":[164],"test":[165],"proposed":[170,209,234],"on":[172,191],"BCI":[174],"competition":[175],"II":[176],"dataset":[177,193],"Ia":[178],"representing":[179],"cursor":[181],"movement":[182],"data":[184],"healthy":[187],"subject.":[188],"Experimental":[189],"results":[190],"demonstrate":[194],"improvement":[197],"accuracy":[201],"compared":[202,216],"reported":[205],"results.":[206],"Moreover,":[207],"work":[210],"requires":[211],"fewer":[212],"recent":[219],"study,":[220],"uses":[222],"all":[223],"six":[224],"42":[227],"features,":[228],"manifesting":[229],"efficacy":[231],"work.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
