{"id":"https://openalex.org/W3159063776","doi":"https://doi.org/10.1109/iscas51556.2021.9401332","title":"EEGCAPS: Brain Activity Recognition Using Modified Common Spatial Patterns and Capsule Network","display_name":"EEGCAPS: Brain Activity Recognition Using Modified Common Spatial Patterns and Capsule Network","publication_year":2021,"publication_date":"2021-04-27","ids":{"openalex":"https://openalex.org/W3159063776","doi":"https://doi.org/10.1109/iscas51556.2021.9401332","mag":"3159063776"},"language":"en","primary_location":{"id":"doi:10.1109/iscas51556.2021.9401332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas51556.2021.9401332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5072288399","display_name":"Hamidreza Sadreazami","orcid":"https://orcid.org/0000-0002-2624-0681"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hamidreza Sadreazami","raw_affiliation_strings":["McGill University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029996071","display_name":"Marzieh Amini","orcid":"https://orcid.org/0000-0002-5217-2969"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Marzieh Amini","raw_affiliation_strings":["School of Information Technology, Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Omair Ahmad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013967994","display_name":"M.N.S. Swamy","orcid":"https://orcid.org/0000-0002-3989-5476"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. N. S. Swamy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072288399"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":0.5827,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61686239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9782999753952026,"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/computer-science","display_name":"Computer science","score":0.7836122512817383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7372017502784729},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6816750168800354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6728078126907349},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.672359824180603},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6307564377784729},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.521872878074646},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4968762695789337},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4963844418525696},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4849134087562561},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.4362798035144806},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41465163230895996},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.10588765144348145},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07614606618881226},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06835636496543884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836122512817383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7372017502784729},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6816750168800354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6728078126907349},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.672359824180603},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6307564377784729},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.521872878074646},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4968762695789337},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4963844418525696},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4849134087562561},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.4362798035144806},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41465163230895996},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.10588765144348145},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07614606618881226},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06835636496543884},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/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/iscas51556.2021.9401332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas51556.2021.9401332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W89751106","https://openalex.org/W1972498024","https://openalex.org/W2013628511","https://openalex.org/W2125388816","https://openalex.org/W2131321253","https://openalex.org/W2132360759","https://openalex.org/W2142280324","https://openalex.org/W2152119085","https://openalex.org/W2155617375","https://openalex.org/W2507528282","https://openalex.org/W2508284143","https://openalex.org/W2590647043","https://openalex.org/W2759030247","https://openalex.org/W2789981174","https://openalex.org/W2792724009","https://openalex.org/W2943251243","https://openalex.org/W2962699674","https://openalex.org/W2963703618","https://openalex.org/W3047968883","https://openalex.org/W3120599689","https://openalex.org/W6679555981","https://openalex.org/W6685893538","https://openalex.org/W6743446608","https://openalex.org/W6749384035"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W1994410349","https://openalex.org/W2106231951","https://openalex.org/W1589677080","https://openalex.org/W2032664813","https://openalex.org/W2770255720","https://openalex.org/W1509533962"],"abstract_inverted_index":{"Brain":[0],"computer":[1],"interface":[2],"is":[3,31,45,85,115],"a":[4,23,34,102],"developing":[5],"technology":[6],"that":[7,120,132,141],"can":[8],"provide":[9],"enhanced":[10],"quality":[11],"of":[12,64,111,121],"life":[13],"to":[14,87,90,119],"individuals":[15],"suffering":[16],"from":[17,55],"various":[18],"disabilities.":[19],"In":[20],"this":[21],"work,":[22],"new":[24],"binary":[25],"electroencephalography":[26],"(EEG)":[27],"signal":[28],"decoding":[29],"algorithm":[30],"proposed":[32,43,113,134],"using":[33],"modified":[35],"common":[36,51],"spatial":[37,52],"pattern":[38,53],"and":[39,80,117],"capsule":[40,74,83],"network.":[41],"The":[42,67,82,109,129],"method":[44,114,135],"realized":[46],"by":[47,125,143],"extracting":[48],"the":[49,56,61,65,73,112,122,133],"spectral-temporal":[50],"features":[54,69],"EEG":[57,106],"signals":[58,107],"while":[59],"preserving":[60],"time":[62],"resolution":[63],"signal.":[66],"resulting":[68],"are":[70],"fed":[71],"into":[72],"network":[75,84],"for":[76,105],"automatic":[77],"feature":[78],"extraction":[79],"classification.":[81,108],"known":[86],"be":[88],"superior":[89],"convolutional":[91],"neural":[92],"networks":[93],"in":[94],"requiring":[95],"less":[96],"training":[97],"data,":[98],"which":[99],"makes":[100],"it":[101],"promising":[103],"candidate":[104],"performance":[110],"evaluated":[116],"compared":[118],"other":[123,144],"methods":[124],"conducting":[126],"several":[127],"experiments.":[128],"results":[130],"demonstrate":[131],"provides":[136],"recognition":[137],"accuracy":[138],"higher":[139],"than":[140],"provided":[142],"methods.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
