{"id":"https://openalex.org/W4294770396","doi":"https://doi.org/10.3233/jifs-220024","title":"EEG-based drowsiness analysis using OpenBCI and deep learning approaches to establish driving safety","display_name":"EEG-based drowsiness analysis using OpenBCI and deep learning approaches to establish driving safety","publication_year":2022,"publication_date":"2022-09-06","ids":{"openalex":"https://openalex.org/W4294770396","doi":"https://doi.org/10.3233/jifs-220024"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-220024","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-220024","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5043744338","display_name":"S A Priyanka","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. Priyanka","raw_affiliation_strings":["Department of Artificial Intelligence, Kongu Engineering College, Erode, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Kongu Engineering College, Erode, Tamil Nadu, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014729238","display_name":"S. Shanthi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Shanthi","raw_affiliation_strings":["Department of Computer Science and Engineering, Kongu Engineering College, Erode, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kongu Engineering College, Erode, Tamil Nadu, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043744338"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1526,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78958414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"44","issue":"1","first_page":"59","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"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/T10985","display_name":"Sleep and Wakefulness Research","score":0.9828000068664551,"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/computer-science","display_name":"Computer science","score":0.7664483785629272},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.689193844795227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6280272006988525},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.519138514995575},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.5048227906227112},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49487918615341187},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4676997661590576},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.460940957069397},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45877063274383545},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.43196675181388855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3854602873325348},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15083107352256775},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11480265855789185},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.1091235876083374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7664483785629272},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.689193844795227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6280272006988525},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.519138514995575},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.5048227906227112},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49487918615341187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4676997661590576},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.460940957069397},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45877063274383545},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.43196675181388855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3854602873325348},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15083107352256775},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11480265855789185},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.1091235876083374},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-220024","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-220024","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1775573083","https://openalex.org/W1965233495","https://openalex.org/W1978431198","https://openalex.org/W2009557092","https://openalex.org/W2013241293","https://openalex.org/W2019437468","https://openalex.org/W2032977109","https://openalex.org/W2089584418","https://openalex.org/W2094577405","https://openalex.org/W2098748797","https://openalex.org/W2107998827","https://openalex.org/W2141518442","https://openalex.org/W2142936302","https://openalex.org/W2156322464","https://openalex.org/W2158712947","https://openalex.org/W2160936727","https://openalex.org/W2190077443","https://openalex.org/W2315300058","https://openalex.org/W2322498137","https://openalex.org/W2343896950","https://openalex.org/W2400613232","https://openalex.org/W2735189551","https://openalex.org/W2751088292","https://openalex.org/W2786426577","https://openalex.org/W2997540115","https://openalex.org/W3003572356","https://openalex.org/W3045226817","https://openalex.org/W3102403537","https://openalex.org/W3164959514","https://openalex.org/W3181234259","https://openalex.org/W3194140132","https://openalex.org/W3199663072","https://openalex.org/W3207904486","https://openalex.org/W4220760907","https://openalex.org/W6672579527","https://openalex.org/W6799992747"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W4387561393","https://openalex.org/W3163481960","https://openalex.org/W3093895509","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Drowsiness":[0],"is":[1,95,109,186,209,227,255],"the":[2,6,11,49,56,67,81,86,105,123,128,132,141,161,165,192,213,231,258,282,285],"inactivated":[3],"state":[4,15,21,41,82,125],"of":[5,37,51,58,69,83,85,104,216,260,284],"brain":[7,106],"and":[8,26,61,143,152,157,190,196,205,233],"observed":[9],"during":[10,30,137],"transition":[12],"from":[13],"awaken":[14],"to":[16,28,76,89,100,159,188,211,249,275,280],"sleepy":[17],"state.":[18,73],"This":[19,147],"inactive":[20,39,71,124],"diminishes":[22],"an":[23],"individual\u2019s":[24],"attention":[25],"leads":[27],"accidents":[29],"professional":[31],"or":[32],"personal":[33],"activities.":[34],"The":[35,53,116,220,238,252],"prediction":[36,68,155,267],"this":[38,70],"(drowsiness)":[40],"using":[42],"AI":[43],"plays":[44],"a":[45,96,245],"substantial":[46],"role":[47],"in":[48,55,164,235],"avoidance":[50],"accidents.":[52],"advancements":[54],"field":[57],"Artificial":[59],"Intelligence":[60],"Neuroscience":[62],"approaches":[63],"are":[64,119,278],"used":[65,120,187,228],"for":[66,121,229],"drowsy":[72],"In":[74],"order":[75],"prevent":[77],"these":[78],"devastating":[79],"accidents,":[80],"drowsiness":[84,154],"driver":[87],"has":[88],"be":[90,91],"monitored.":[92],"Electroencephalogram":[93],"(EEG)":[94],"predominant":[97],"tool":[98],"adopted":[99],"examine":[101],"various":[102,135],"states":[103],"effectually.":[107],"It":[108],"generally":[110],"known":[111],"as":[112],"Brain-Computer":[113],"Interface":[114],"System.":[115],"EEG":[117,207,218],"channels":[118],"predicting":[122],"while":[126],"implementing":[127],"real-time":[129],"applications.":[130],"However,":[131],"researchers":[133],"face":[134],"challenges":[136],"execution":[138],"based":[139,200],"on":[140,150,201],"classification":[142],"channel":[144],"selection":[145],"process.":[146],"research":[148],"concentrates":[149],"modelling":[151],"efficient":[153],"methods":[156],"intends":[158],"bridge":[160],"gap":[162],"encountered":[163],"existing":[166,250],"approaches.":[167,251],"A":[168],"novel":[169],"stacked":[170],"Long":[171],"Short-Term":[172],"Memory(s":[173],"-":[174,184,241],"LSTM)":[175],"with":[176,257],"Deep":[177],"Fully":[178],"Connected-":[179],"Convolutional":[180],"Neural":[181],"Network":[182],"(DFC":[183],"CNN)":[185],"learn":[189],"memorize":[191],"long-term":[193],"feature":[194,262],"dependencies":[195],"attains":[197],"essential":[198],"information":[199],"time-series":[202],"prediction.":[203],"Single":[204],"multi-channel":[206],"data":[208,226],"considered":[210],"measure":[212],"statistical":[214],"characteristics":[215],"available":[217,222],"signals.":[219],"online":[221],"OpenBCI":[223],"sleep":[224],"analysis":[225],"performing":[230],"experimentation,":[232],"run":[234],"GoogleColab":[236],"environment.":[237],"proposed":[239],"s":[240],"LSTM":[242],"model":[243,253],"provides":[244],"better":[246],"trade-off":[247],"compared":[248],"generalization":[254],"improved":[256],"validation":[259],"combined":[261],"subjects.":[263],"Here,":[264],"metrics":[265],"like":[266],"accuracy,":[268],"RMSE,":[269],"false":[270,276],"positives,":[271],"scaling":[272],"coefficients":[273],"related":[274],"positives":[277],"measured":[279],"show":[281],"significance":[283],"model.":[286]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}