{"id":"https://openalex.org/W3006671562","doi":"https://doi.org/10.1109/uemcon47517.2019.8992967","title":"Conceptual Neuroadaptive Brain-Computer Interface utilizing Event-related Desynchronization","display_name":"Conceptual Neuroadaptive Brain-Computer Interface utilizing Event-related Desynchronization","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3006671562","doi":"https://doi.org/10.1109/uemcon47517.2019.8992967","mag":"3006671562"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon47517.2019.8992967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon47517.2019.8992967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","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/A5007507607","display_name":"Brian Luu","orcid":null},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Luu","raw_affiliation_strings":["Department of Computer Engineering, California State University Fullerton, Fullerton, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, California State University Fullerton, Fullerton, United States","institution_ids":["https://openalex.org/I142934699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050042055","display_name":"Bradley Hansberger","orcid":null},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bradley Hansberger","raw_affiliation_strings":["Department of Computer Engineering, California State University Fullerton, Fullerton, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, California State University Fullerton, Fullerton, United States","institution_ids":["https://openalex.org/I142934699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053784985","display_name":"Thanat Tothong","orcid":null},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thanat Tothong","raw_affiliation_strings":["Department of Computer Engineering, California State University Fullerton, Fullerton, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, California State University Fullerton, Fullerton, United States","institution_ids":["https://openalex.org/I142934699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109052390","display_name":"Kiran George","orcid":null},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kiran George","raw_affiliation_strings":["Department of Computer Engineering, California State University Fullerton, Fullerton, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, California State University Fullerton, Fullerton, United States","institution_ids":["https://openalex.org/I142934699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142934699"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20615074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"113","issue":null,"first_page":"0796","last_page":"0802"},"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":0.9853000044822693,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9825000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/headset","display_name":"Headset","score":0.8717195987701416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.727741003036499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6841065883636475},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6794701814651489},{"id":"https://openalex.org/keywords/toolbox","display_name":"Toolbox","score":0.6395801901817322},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5411043167114258},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5064071416854858},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.47862333059310913},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.45210549235343933}],"concepts":[{"id":"https://openalex.org/C2780657452","wikidata":"https://www.wikidata.org/wiki/Q1193170","display_name":"Headset","level":2,"score":0.8717195987701416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727741003036499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6841065883636475},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6794701814651489},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.6395801901817322},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5411043167114258},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5064071416854858},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.47862333059310913},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.45210549235343933},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon47517.2019.8992967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon47517.2019.8992967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1919077608","https://openalex.org/W2010371409","https://openalex.org/W2046743872","https://openalex.org/W2074591889","https://openalex.org/W2088117181","https://openalex.org/W2116308679","https://openalex.org/W2122111042","https://openalex.org/W2566961903","https://openalex.org/W2864339505","https://openalex.org/W3156207536"],"related_works":["https://openalex.org/W2549567669","https://openalex.org/W2323345712","https://openalex.org/W2894943710","https://openalex.org/W2808042781","https://openalex.org/W2216376285","https://openalex.org/W2611324559","https://openalex.org/W2377984624","https://openalex.org/W2348740175","https://openalex.org/W4243049533","https://openalex.org/W2372487761"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"evidence":[3],"for":[4,32,83],"the":[5,17,27,33,42,49,54,69,90,130,178,206],"possibility":[6],"of":[7,29,64,144,152,191],"a":[8,37,46,72,76,110,114,142,182],"neuroadaptive":[9,34],"system,":[10],"based":[11],"on":[12,75],"electroencephalography":[13],"(EEG)":[14],"readings":[15],"from":[16,53,201,215],"motor":[18],"cortex":[19],"region,":[20],"to":[21,102,106,138,157,176,203,216,219],"predict":[22],"an":[23,58,188,197],"individual's":[24],"actions":[25],"before":[26],"onset":[28],"motion.":[30],"Testing":[31],"system":[35],"utilized":[36],"G.nautilus":[38],"headset,":[39],"MATLAB":[40],"with":[41,48,162],"EEGLAB":[43],"toolbox,":[44],"and":[45,95,108,128,161,196],"computer":[47],"Processing":[50,55],"IDE.":[51],"Code":[52],"IDE":[56],"provides":[57],"image":[59],"slideshow":[60],"which":[61],"displays":[62],"faces":[63],"various":[65],"individuals":[66],"so":[67],"that":[68],"subject":[70],"presses":[71],"keyboard":[73,91],"key":[74,92],"certain":[77],"image.":[78],"Three":[79],"subjects":[80],"were":[81,100,148,155],"tested":[82],"60":[84],"trials":[85,88,97,127,135,147,154],"each,":[86],"30":[87,96],"where":[89,98],"was":[93,168],"pressed,":[94],"they":[99],"not,":[101],"gather":[103],"enough":[104],"data":[105],"train":[107],"test":[109],"classifier":[111],"by":[112,133,170],"using":[113,124,205],"machine":[115,163,173,194],"learning":[116,119,174,195],"algorithm.":[117,209],"Machine":[118],"assessed":[120],"classification":[121],"accuracy":[122,140,159,167,180,190,199,213],"initially":[123],"10":[125,134],"training":[126,131,146],"increased":[129],"set":[132,151],"each":[136],"time":[137],"reassess":[139],"until":[141],"total":[143],"40":[145],"used.":[149],"A":[150],"20":[153],"used":[156],"assess":[158,177],"without":[160,193],"learning.":[164],"Additionally,":[165],"theoretical":[166,212],"computed":[169],"removing":[171],"unfeasible":[172],"features":[175],"potential":[179],"in":[181],"real-time":[183],"system.":[184],"The":[185,210],"results":[186],"provided":[187],"average":[189,198,211],"52%":[192],"ranging":[200],"91.66%":[202],"96.66%":[204],"K-Nearest":[207],"Neighbors(KNN)":[208],"ranged":[214],"be":[217],"60%":[218],"68.33%.":[220]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
