{"id":"https://openalex.org/W2993548219","doi":"https://doi.org/10.1109/tsmc.2019.2956022","title":"A Complex Network-Based Broad Learning System for Detecting Driver Fatigue From EEG Signals","display_name":"A Complex Network-Based Broad Learning System for Detecting Driver Fatigue From EEG Signals","publication_year":2019,"publication_date":"2019-12-06","ids":{"openalex":"https://openalex.org/W2993548219","doi":"https://doi.org/10.1109/tsmc.2019.2956022","mag":"2993548219"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2019.2956022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2019.2956022","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: 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/A5101617318","display_name":"Yuxuan Yang","orcid":"https://orcid.org/0000-0002-1130-7062"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxuan Yang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082820311","display_name":"Zhongke Gao","orcid":"https://orcid.org/0000-0002-9551-202X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongke Gao","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064603547","display_name":"Yanli Li","orcid":"https://orcid.org/0000-0001-5267-3096"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680312","display_name":"Qing Cai","orcid":"https://orcid.org/0000-0002-0026-0959"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Cai","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008750181","display_name":"Norbert Marwan","orcid":"https://orcid.org/0000-0003-1437-7039"},"institutions":[{"id":"https://openalex.org/I60200437","display_name":"Potsdam Institute for Climate Impact Research","ror":"https://ror.org/03e8s1d88","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I60200437"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Norbert Marwan","raw_affiliation_strings":["Research Department Complexity Science, Potsdam Institute for Climate Impact Research, Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"Research Department Complexity Science, Potsdam Institute for Climate Impact Research, Potsdam, Germany","institution_ids":["https://openalex.org/I60200437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085207296","display_name":"J\u00fcrgen Kurths","orcid":"https://orcid.org/0000-0002-5926-4276"},"institutions":[{"id":"https://openalex.org/I125219893","display_name":"Saratov State University","ror":"https://ror.org/05jcsqx24","country_code":"RU","type":"education","lineage":["https://openalex.org/I125219893"]},{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]},{"id":"https://openalex.org/I60200437","display_name":"Potsdam Institute for Climate Impact Research","ror":"https://ror.org/03e8s1d88","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I60200437"]}],"countries":["DE","RU"],"is_corresponding":false,"raw_author_name":"J\u00fcrgen Kurths","raw_affiliation_strings":["Research Department Complexity Science, Potsdam Institute for Climate Impact Research, Potsdam, Germany","Institute of Physics, Humboldt University of Berlin, Berlin, Germany","Department of Biology, Saratov State University, Saratov, Russia"],"affiliations":[{"raw_affiliation_string":"Research Department Complexity Science, Potsdam Institute for Climate Impact Research, Potsdam, Germany","institution_ids":["https://openalex.org/I60200437"]},{"raw_affiliation_string":"Institute of Physics, Humboldt University of Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]},{"raw_affiliation_string":"Department of Biology, Saratov State University, Saratov, Russia","institution_ids":["https://openalex.org/I125219893"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101617318"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":5.2095,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.96420988,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"51","issue":"9","first_page":"5800","last_page":"5808"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9958000183105469,"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":0.9958000183105469,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9824000000953674,"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/T12676","display_name":"Machine Learning and ELM","score":0.9797000288963318,"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/electroencephalography","display_name":"Electroencephalography","score":0.8573483228683472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6977716684341431},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5073370337486267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5036272406578064},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4530274271965027},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41846296191215515},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36950457096099854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3306942880153656},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10713356733322144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.089362233877182},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.0861501693725586}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8573483228683472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6977716684341431},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5073370337486267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5036272406578064},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4530274271965027},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41846296191215515},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36950457096099854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3306942880153656},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10713356733322144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.089362233877182},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0861501693725586}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsmc.2019.2956022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2019.2956022","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"},{"id":"pmh:oai:publications.pik-potsdam.de:item_23614","is_oa":false,"landing_page_url":"https://publications.pik-potsdam.de/pubman/item/item_23614","pdf_url":null,"source":{"id":"https://openalex.org/S4306400891","display_name":"Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60200437","host_organization_name":"Potsdam Institute for Climate Impact Research","host_organization_lineage":["https://openalex.org/I60200437"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5928784654","display_name":null,"funder_award_id":"61873181","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6723776895","display_name":null,"funder_award_id":"61922062","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1005960929","https://openalex.org/W1884191083","https://openalex.org/W1885185971","https://openalex.org/W1925417509","https://openalex.org/W1947251450","https://openalex.org/W1976447098","https://openalex.org/W1978575993","https://openalex.org/W1985212113","https://openalex.org/W1985756581","https://openalex.org/W1986526455","https://openalex.org/W1989155160","https://openalex.org/W2005305331","https://openalex.org/W2017884262","https://openalex.org/W2019627326","https://openalex.org/W2026497687","https://openalex.org/W2028424602","https://openalex.org/W2031365860","https://openalex.org/W2043133488","https://openalex.org/W2047028564","https://openalex.org/W2071676568","https://openalex.org/W2071878275","https://openalex.org/W2077563416","https://openalex.org/W2083767335","https://openalex.org/W2094729684","https://openalex.org/W2108766359","https://openalex.org/W2109713924","https://openalex.org/W2123223828","https://openalex.org/W2134383471","https://openalex.org/W2141309263","https://openalex.org/W2147558499","https://openalex.org/W2153232138","https://openalex.org/W2153635508","https://openalex.org/W2178155017","https://openalex.org/W2259435266","https://openalex.org/W2286439238","https://openalex.org/W2315796184","https://openalex.org/W2411460890","https://openalex.org/W2414309931","https://openalex.org/W2562903767","https://openalex.org/W2572310613","https://openalex.org/W2621205740","https://openalex.org/W2738226240","https://openalex.org/W2743656938","https://openalex.org/W2759210011","https://openalex.org/W2762115787","https://openalex.org/W2778901641","https://openalex.org/W2784400627","https://openalex.org/W2801275556","https://openalex.org/W2886857653","https://openalex.org/W2888355470","https://openalex.org/W2888855164","https://openalex.org/W2889504373","https://openalex.org/W2890126432","https://openalex.org/W2891662540","https://openalex.org/W2892402540","https://openalex.org/W2895874728","https://openalex.org/W2908578648","https://openalex.org/W4234173777","https://openalex.org/W4289663238","https://openalex.org/W6754993138"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W4312960290","https://openalex.org/W2057366091","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W4233722919","https://openalex.org/W4323929055"],"abstract_inverted_index":{"Driver":[0],"fatigue":[1,40,56,75,88],"detection":[2,143],"is":[3,33,62,150],"of":[4,101,111,136,161],"great":[5],"significance":[6],"for":[7,71],"guaranteeing":[8],"traffic":[9],"safety":[10],"and":[11,55],"further":[12],"reducing":[13],"economic":[14],"as":[15,17,133],"well":[16],"societal":[18],"loss.":[19],"In":[20,97,126],"this":[21],"article,":[22],"a":[23,43],"novel":[24],"complex":[25],"network":[26],"(CN)":[27],"based":[28],"broad":[29,67],"learning":[30,68],"system":[31,69],"(CNBLS)":[32],"proposed":[34,82,113,120,166],"to":[35,49,64,128,152],"realize":[36],"an":[37,73,91],"electroencephalogram":[38],"(EEG)-based":[39],"detection.":[41,76],"First,":[42],"simulated":[44],"driving":[45],"experiment":[46],"was":[47],"conducted":[48],"obtain":[50],"EEG":[51,131,157,170],"recordings":[52],"in":[53,155],"alert":[54,92],"state.":[57],"Then,":[58],"the":[59,66,81,87,99,102,109,112,119,134,142,165,169],"CN":[60,162],"theory":[61],"applied":[63],"facilitate":[65],"(BLS)":[70],"realizing":[72],"EEG-based":[74],"The":[77,115],"results":[78,110,116,146],"demonstrate":[79,147],"that":[80,118,148],"CNBLS":[83,138],"can":[84,139],"accurately":[85],"differentiate":[86],"state":[89,93],"from":[90],"with":[94,108],"high":[95],"stability.":[96],"addition,":[98],"performances":[100],"four":[103],"existing":[104,124],"methods":[105],"are":[106],"compared":[107],"method.":[114],"indicate":[117],"method":[121,167],"outperforms":[122],"these":[123],"methods.":[125,172],"comparison":[127],"directly":[129],"using":[130],"signals":[132,158],"input":[135],"BLS,":[137],"sharply":[140],"improve":[141],"results.":[144],"These":[145],"it":[149],"feasible":[151],"apply":[153],"BLS":[154],"classifying":[156],"by":[159],"means":[160],"theory.":[163],"Also,":[164],"enriches":[168],"analysis":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":6}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}