{"id":"https://openalex.org/W4401394440","doi":"https://doi.org/10.3390/s24165086","title":"Driving Attention State Detection Based on GRU-EEGNet","display_name":"Driving Attention State Detection Based on GRU-EEGNet","publication_year":2024,"publication_date":"2024-08-07","ids":{"openalex":"https://openalex.org/W4401394440","doi":"https://doi.org/10.3390/s24165086","pmid":"https://pubmed.ncbi.nlm.nih.gov/39204804"},"language":"en","primary_location":{"id":"doi:10.3390/s24165086","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165086","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5086/pdf?version=1722994505","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/16/5086/pdf?version=1722994505","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103059539","display_name":"Xiaoli Wu","orcid":"https://orcid.org/0000-0002-5651-1673"},"institutions":[{"id":"https://openalex.org/I154833797","display_name":"Lingnan Normal University","ror":"https://ror.org/01h6ecw13","country_code":"CN","type":"education","lineage":["https://openalex.org/I154833797"]},{"id":"https://openalex.org/I4387930275","display_name":"Hanjiang Normal University","ror":"https://ror.org/02caqw325","country_code":null,"type":"education","lineage":["https://openalex.org/I4387930275"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Wu","raw_affiliation_strings":["College of Physics and Electronic Engineering, Hanjiang Normal University, Shiyan 442000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Electronic Engineering, Hanjiang Normal University, Shiyan 442000, China","institution_ids":["https://openalex.org/I154833797","https://openalex.org/I4387930275"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015565815","display_name":"Changcheng Shi","orcid":"https://orcid.org/0009-0003-1210-3808"},"institutions":[{"id":"https://openalex.org/I154833797","display_name":"Lingnan Normal University","ror":"https://ror.org/01h6ecw13","country_code":"CN","type":"education","lineage":["https://openalex.org/I154833797"]},{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I4387930275","display_name":"Hanjiang Normal University","ror":"https://ror.org/02caqw325","country_code":null,"type":"education","lineage":["https://openalex.org/I4387930275"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changcheng Shi","raw_affiliation_strings":["College of Physics and Electronic Engineering, Hanjiang Normal University, Shiyan 442000, China","Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Electronic Engineering, Hanjiang Normal University, Shiyan 442000, China","institution_ids":["https://openalex.org/I154833797","https://openalex.org/I4387930275"]},{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101881933","display_name":"Lirong Yan","orcid":"https://orcid.org/0000-0002-5173-7059"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lirong Yan","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015565815"],"corresponding_institution_ids":["https://openalex.org/I154833797","https://openalex.org/I196699116","https://openalex.org/I4387930275"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":2.1571,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87321954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"24","issue":"16","first_page":"5086","last_page":"5086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9848999977111816,"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/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.979200005531311,"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/distraction","display_name":"Distraction","score":0.9022197723388672},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.790388822555542},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6774590015411377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5741370916366577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5640068054199219},{"id":"https://openalex.org/keywords/driving-simulator","display_name":"Driving simulator","score":0.5463876128196716},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5253680944442749},{"id":"https://openalex.org/keywords/distracted-driving","display_name":"Distracted driving","score":0.5080456733703613},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5008673667907715},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5007815361022949},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49667125940322876},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.43460026383399963},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15395769476890564},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08911594748497009},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.06247878074645996}],"concepts":[{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.9022197723388672},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.790388822555542},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6774590015411377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5741370916366577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5640068054199219},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.5463876128196716},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5253680944442749},{"id":"https://openalex.org/C2776465824","wikidata":"https://www.wikidata.org/wiki/Q5283083","display_name":"Distracted driving","level":3,"score":0.5080456733703613},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5008673667907715},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5007815361022949},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49667125940322876},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.43460026383399963},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15395769476890564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08911594748497009},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.06247878074645996},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.3390/s24165086","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165086","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5086/pdf?version=1722994505","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39204804","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39204804","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11358947","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11358947","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11358947/pdf/sensors-24-05086.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:0bb053359821431bb7cd099ea18e476c","is_oa":true,"landing_page_url":"https://doaj.org/article/0bb053359821431bb7cd099ea18e476c","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 16, p 5086 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24165086","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165086","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5086/pdf?version=1722994505","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2146973248","display_name":null,"funder_award_id":"B2017216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4999661324","display_name":null,"funder_award_id":"61876137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401394440.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W633044024","https://openalex.org/W1567034182","https://openalex.org/W1972494391","https://openalex.org/W1985261475","https://openalex.org/W2005749985","https://openalex.org/W2030808768","https://openalex.org/W2039052749","https://openalex.org/W2058132619","https://openalex.org/W2059303722","https://openalex.org/W2068763596","https://openalex.org/W2076167842","https://openalex.org/W2098330912","https://openalex.org/W2100179400","https://openalex.org/W2135361006","https://openalex.org/W2150695119","https://openalex.org/W2155367101","https://openalex.org/W2530471024","https://openalex.org/W2559463885","https://openalex.org/W2754136095","https://openalex.org/W2772454019","https://openalex.org/W2778498877","https://openalex.org/W2794747368","https://openalex.org/W2883396475","https://openalex.org/W2904211520","https://openalex.org/W2907750296","https://openalex.org/W2909945807","https://openalex.org/W2915161450","https://openalex.org/W2944971023","https://openalex.org/W2999318905","https://openalex.org/W3017833007","https://openalex.org/W3019870581","https://openalex.org/W3020727770","https://openalex.org/W3102455230","https://openalex.org/W3174822651","https://openalex.org/W3175829748","https://openalex.org/W3209735770","https://openalex.org/W3210354869","https://openalex.org/W3214730405","https://openalex.org/W4210878536","https://openalex.org/W4220996532","https://openalex.org/W4229070000","https://openalex.org/W4281870339","https://openalex.org/W4309224029","https://openalex.org/W4312283584","https://openalex.org/W4319213754","https://openalex.org/W4387707221","https://openalex.org/W6620372458"],"related_works":["https://openalex.org/W626594146","https://openalex.org/W2051187670","https://openalex.org/W2891960815","https://openalex.org/W2946368029","https://openalex.org/W2557391638","https://openalex.org/W2058597075","https://openalex.org/W2083853826","https://openalex.org/W2143855856","https://openalex.org/W2029007596","https://openalex.org/W4383901024"],"abstract_inverted_index":{"The":[0,41,82,126,151],"present":[1],"study":[2],"utilizes":[3],"the":[4,50,54,70,73,85,95,107,110,115,120,133,144,167,180],"significant":[5],"differences":[6],"in":[7,16],"\u03b8,":[8,42,86],"\u03b1,":[9,43,87],"and":[10,30,44,61,64,88,141,147,158,175],"\u03b2":[11,45,89],"band":[12,46,90],"power":[13,47,91,111],"spectra":[14,48],"observed":[15],"electroencephalograms":[17],"(EEGs)":[18],"during":[19,38],"distracted":[20],"versus":[21],"focused":[22],"driving.":[23],"Three":[24],"subtasks,":[25],"visual":[26],"distraction,":[27,29,32],"auditory":[28],"cognitive":[31],"were":[33,59,67,80],"designed":[34],"to":[35,100],"appear":[36],"randomly":[37],"driving":[39,56,74,123,127,168],"simulations.":[40],"of":[49,53,72,84,94,109,114,122,132,182],"EEG":[51,96,117,152,156],"signals":[52,97,118],"four":[55],"attention":[57,75,124,128,169],"states":[58],"extracted,":[60],"SVM,":[62],"EEGNet,":[63],"GRU-EEGNet":[65,135],"models":[66],"employed":[68],"for":[69,119],"detection":[71,121,130,171],"states,":[76],"respectively.":[77,150],"Online":[78],"experiments":[79],"conducted.":[81],"extraction":[83,108],"spectrum":[92,112],"features":[93,113,157],"was":[98,173],"found":[99],"be":[101],"a":[102],"more":[103],"effective":[104],"method":[105,154],"than":[106],"whole":[116],"states.":[125],"state":[129,170],"accuracy":[131],"proposed":[134],"model":[136,146],"is":[137],"improved":[138,160],"by":[139],"6.3%":[140],"12.8%":[142],"over":[143],"EEGNet":[145],"PSD_SVM":[148],"method,":[149],"decoding":[153],"combining":[155],"an":[159],"deep":[161],"learning":[162],"algorithm,":[163],"which":[164],"effectively":[165],"improves":[166],"accuracy,":[172],"manually":[174],"preliminarily":[176],"selected":[177],"based":[178],"on":[179],"results":[181],"existing":[183],"studies.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}