{"id":"https://openalex.org/W2785613450","doi":"https://doi.org/10.1109/ssci.2017.8285450","title":"Brain machine interface for useful human interaction via extreme learning machine and state machine design","display_name":"Brain machine interface for useful human interaction via extreme learning machine and state machine design","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2785613450","doi":"https://doi.org/10.1109/ssci.2017.8285450","mag":"2785613450"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2017.8285450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2017.8285450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5079790877","display_name":"Garrett C. Sargent","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Garrett Sargent","raw_affiliation_strings":["Vision Lab University of Dayton, Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Vision Lab University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392967","display_name":"Haotian Zhang","orcid":"https://orcid.org/0000-0003-0478-3869"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haotian Zhang","raw_affiliation_strings":["Vision Lab University of Dayton, Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Vision Lab University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110543866","display_name":"A. G. Morgan","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alyssa Morgan","raw_affiliation_strings":["Vision Lab University of Dayton, Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Vision Lab University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103794780","display_name":"Adam Van Camp","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Van Camp","raw_affiliation_strings":["Vision Lab University of Dayton, Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Vision Lab University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110522323","display_name":"Arlen D'Arcy","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arlen D'Arcy","raw_affiliation_strings":["University of Dayton, Dayton, OH, US"],"affiliations":[{"raw_affiliation_string":"University of Dayton, Dayton, OH, US","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097184989","display_name":"Adam Cassedy","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Cassedy","raw_affiliation_strings":["Vision Lab University of Dayton, Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Vision Lab University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018910735","display_name":"Theus H. Aspiras","orcid":"https://orcid.org/0000-0002-8473-0494"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theus Aspiras","raw_affiliation_strings":["Vision Lab University of Dayton, Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Vision Lab University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097184990","display_name":"Emma Romstadt","orcid":null},"institutions":[{"id":"https://openalex.org/I2948394018","display_name":"Northrop Grumman (United States)","ror":"https://ror.org/05kewds18","country_code":"US","type":"company","lineage":["https://openalex.org/I2948394018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emma Romstadt","raw_affiliation_strings":["Software Engineer Northrop Grumman, Cincinnati, USA"],"affiliations":[{"raw_affiliation_string":"Software Engineer Northrop Grumman, Cincinnati, USA","institution_ids":["https://openalex.org/I2948394018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097212764","display_name":"Victoria Dicillo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Victoria Dicillo","raw_affiliation_strings":["Electronics Engineer, NASIC, Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Electronics Engineer, NASIC, Dayton, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061050831","display_name":"Vijayan K. Asari","orcid":"https://orcid.org/0000-0002-3751-5492"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijayan Asari","raw_affiliation_strings":["Vision Lab University of Dayton, Dayton, USA"],"affiliations":[{"raw_affiliation_string":"Vision Lab University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5079790877"],"corresponding_institution_ids":["https://openalex.org/I127591826"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.64967198,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7799819707870483},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7506130933761597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7446955442428589},{"id":"https://openalex.org/keywords/headset","display_name":"Headset","score":0.7341440916061401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.660994291305542},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5845352411270142},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5600447058677673},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5491936802864075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5463862419128418},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5307018160820007},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.45594558119773865},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35951873660087585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35922563076019287},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.35874831676483154},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.3155250549316406},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.24556845426559448},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08687102794647217}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7799819707870483},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7506130933761597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7446955442428589},{"id":"https://openalex.org/C2780657452","wikidata":"https://www.wikidata.org/wiki/Q1193170","display_name":"Headset","level":2,"score":0.7341440916061401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.660994291305542},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5845352411270142},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5600447058677673},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5491936802864075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5463862419128418},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5307018160820007},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.45594558119773865},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35951873660087585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35922563076019287},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.35874831676483154},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.3155250549316406},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.24556845426559448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08687102794647217},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/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/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci.2017.8285450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2017.8285450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1990938413","https://openalex.org/W2026131661","https://openalex.org/W2122040390","https://openalex.org/W2141695047","https://openalex.org/W2244677973","https://openalex.org/W2313342710","https://openalex.org/W2549587034","https://openalex.org/W2591481826"],"related_works":["https://openalex.org/W2549567669","https://openalex.org/W2323345712","https://openalex.org/W104838418","https://openalex.org/W1532889363","https://openalex.org/W4292416459","https://openalex.org/W2394331374","https://openalex.org/W2894943710","https://openalex.org/W2997712664","https://openalex.org/W2808042781","https://openalex.org/W2141511365"],"abstract_inverted_index":{"The":[0,140],"idea":[1],"of":[2,12,56,69,75,85,94,111,116,126,157],"brain":[3],"machine":[4,19,79,179],"interface":[5,48],"(BMI)":[6],"is":[7],"to":[8,25,108,135,144,147,161,163,185],"provide":[9],"a":[10,15,18,37,40,67,83,90,98,109,145,166,173,177,183,192],"source":[11],"interaction":[13],"between":[14],"person":[16,184],"and":[17,31,43,59,155],"via":[20,189],"thought.":[21],"Three":[22],"major":[23],"parts":[24],"an":[26,45,53,60,76],"effective":[27,54],"BMI":[28],"are":[29],"determined":[30],"handled":[32],"in":[33],"this":[34],"paper:":[35],"classifying":[36,57,82],"thought,":[38],"doing":[39],"useful":[41,64],"activity,":[42],"providing":[44,63],"efficient":[46],"user":[47],"(UI).":[49],"This":[50],"paper":[51],"proposes":[52],"way":[55],"thoughts":[58,87],"approach":[61],"for":[62,81,113,165],"activities":[65,188],"given":[66,89],"sequence":[68],"signals.":[70],"We":[71,102,170],"demonstrate":[72],"the":[73,104,114,117,122,127],"effectiveness":[74],"extreme":[77],"learning":[78],"(ELM)":[80],"number":[84,156],"different":[86,137],"when":[88],"relatively":[91],"small":[92],"amount":[93],"training":[95,153],"samples":[96,154],"from":[97],"5-channel":[99],"EEG":[100],"headset.":[101],"transform":[103,130],"electroencephalograph":[105],"(EEG)":[106],"data":[107],"set":[110],"features":[112],"input":[115],"ELM":[118,141],"model":[119],"by":[120],"estimating":[121],"logarithmic":[123],"power":[124],"(LP)":[125],"discrete":[128],"wavelet":[129],"(DWT)":[131],"coefficients,":[132],"which":[133],"corresponds":[134],"five":[136],"frequency":[138],"bands.":[139],"provides":[142],"up":[143],"90%":[146],"100%":[148],"classification":[149],"accuracy":[150],"depending":[151],"on":[152,176],"hidden":[158],"nodes,":[159],"compared":[160],"52%":[162],"60%":[164],"multi-layer":[167],"perceptron":[168],"(MLP).":[169],"also":[171],"present":[172],"UI":[174],"based":[175],"state":[178],"design":[180],"that":[181],"allows":[182],"accomplish":[186],"certain":[187],"thought":[190],"with":[191],"robotic":[193],"arm.":[194]},"counts_by_year":[{"year":2021,"cited_by_count":10},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
