{"id":"https://openalex.org/W4212799235","doi":"https://doi.org/10.1109/tcyb.2021.3123842","title":"A Product Fuzzy Convolutional Network for Detecting Driving Fatigue","display_name":"A Product Fuzzy Convolutional Network for Detecting Driving Fatigue","publication_year":2022,"publication_date":"2022-02-16","ids":{"openalex":"https://openalex.org/W4212799235","doi":"https://doi.org/10.1109/tcyb.2021.3123842","pmid":"https://pubmed.ncbi.nlm.nih.gov/35171785"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2021.3123842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3123842","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5026223895","display_name":"Guanglong Du","orcid":"https://orcid.org/0000-0001-9425-843X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanglong Du","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9425-843X","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029854921","display_name":"Shuaiying Long","orcid":"https://orcid.org/0000-0002-9585-0248"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaiying Long","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015703715","display_name":"Chunquan Li","orcid":"https://orcid.org/0000-0003-2531-6530"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunquan Li","raw_affiliation_strings":["School of Information Engineering, Nanchang University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0003-2531-6530","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101419874","display_name":"Zhiyao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyao Wang","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8994-6182","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100659849","display_name":"Peter Liu","orcid":"https://orcid.org/0000-0002-8703-6967"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Peter X. Liu","raw_affiliation_strings":["Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada"],"raw_orcid":"https://orcid.org/0000-0002-8703-6967","affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026223895"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":6.1522,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.9689698,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"53","issue":"7","first_page":"4175","last_page":"4188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9993000030517578,"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":0.9993000030517578,"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":0.989799976348877,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9868999719619751,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7372657060623169},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.663113534450531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6343205571174622},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5931766629219055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.586134672164917},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5269965529441833},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.476267546415329},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.444904625415802},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44042178988456726},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4207627475261688},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3542853593826294},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14977529644966125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7372657060623169},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.663113534450531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6343205571174622},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5931766629219055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.586134672164917},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5269965529441833},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.476267546415329},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.444904625415802},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44042178988456726},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4207627475261688},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3542853593826294},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14977529644966125},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2021.3123842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3123842","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:35171785","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35171785","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":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2285552449","display_name":"\u9762\u5411\u8179\u8154\u955c\u80a0\u9053\u624b\u672f\u7684\u4eba\u673a\u4ea4\u4e92\u7f1d\u5408\u6a21\u62df\u5173\u952e\u95ee\u9898\u7814\u7a76","funder_award_id":"61863028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2513121278","display_name":null,"funder_award_id":"62173176","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5544438047","display_name":null,"funder_award_id":"20204ABC03A39","funder_id":"https://openalex.org/F4320326696","funder_display_name":"Jiangxi Provincial Department of Science and Technology"},{"id":"https://openalex.org/G8063869721","display_name":null,"funder_award_id":"61973126","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"},{"id":"https://openalex.org/F4320326696","display_name":"Jiangxi Provincial Department of Science and Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W131819148","https://openalex.org/W1522301498","https://openalex.org/W1530129560","https://openalex.org/W1575396710","https://openalex.org/W1820534876","https://openalex.org/W1964684330","https://openalex.org/W1969405451","https://openalex.org/W1970374581","https://openalex.org/W1973454371","https://openalex.org/W1977210227","https://openalex.org/W1993479360","https://openalex.org/W1997564847","https://openalex.org/W2001471870","https://openalex.org/W2014815679","https://openalex.org/W2032977109","https://openalex.org/W2043133488","https://openalex.org/W2071878275","https://openalex.org/W2075000159","https://openalex.org/W2080426890","https://openalex.org/W2083767335","https://openalex.org/W2086983697","https://openalex.org/W2092728879","https://openalex.org/W2126698740","https://openalex.org/W2128495200","https://openalex.org/W2133267871","https://openalex.org/W2220541428","https://openalex.org/W2241667675","https://openalex.org/W2285010888","https://openalex.org/W2419125014","https://openalex.org/W2518845577","https://openalex.org/W2548570154","https://openalex.org/W2558193840","https://openalex.org/W2612047884","https://openalex.org/W2731010577","https://openalex.org/W2734901527","https://openalex.org/W2737825951","https://openalex.org/W2751088292","https://openalex.org/W2908578648","https://openalex.org/W2940740645","https://openalex.org/W2943947171","https://openalex.org/W2961557730","https://openalex.org/W2976036462","https://openalex.org/W2979994087","https://openalex.org/W3008092053","https://openalex.org/W3010696906","https://openalex.org/W3010777170","https://openalex.org/W4247875883","https://openalex.org/W6631190155","https://openalex.org/W6631981864","https://openalex.org/W6688964940","https://openalex.org/W6740609221","https://openalex.org/W6774786466","https://openalex.org/W6775314051","https://openalex.org/W6829184142"],"related_works":["https://openalex.org/W2060724872","https://openalex.org/W2082094785","https://openalex.org/W2202198356","https://openalex.org/W3087203342","https://openalex.org/W2377184161","https://openalex.org/W228984114","https://openalex.org/W4226360758","https://openalex.org/W2151093953","https://openalex.org/W2090026684","https://openalex.org/W2907567977"],"abstract_inverted_index":{"Existing":[0],"driving":[1,75,86,194],"fatigue":[2,76,214],"detection":[3,23,77,173,208,215],"methods":[4],"rarely":[5],"consider":[6],"how":[7,65],"to":[8,21,66,72,131,157],"effectively":[9,108,158],"fuse":[10,67,159],"the":[11,14,30,39,50,89,110,121,133,160,167,177,200],"advantages":[12],"of":[13,38,115,179,183],"electroencephalogram":[15],"(EEG)":[16],"and":[17,47,69,84,104,112,119,142,163,170,192,207],"electrocardiogram":[18],"(ECG)":[19],"signals":[20,71,118],"enhance":[22],"performance":[24,178],"under":[25,78],"noise":[26,79,168],"conditions.":[27],"To":[28,175],"address":[29],"issues,":[31],"this":[32,61],"article":[33,62],"proposes":[34,153],"a":[35,97,105,128,154,181],"new":[36],"type":[37],"deep":[40],"learning":[41],"(DL)":[42],"framework":[43],"based":[44],"on":[45],"EEG":[46,68,117,164],"ECG":[48,70,134,147,162],"called":[49],"product":[51,106],"fuzzy":[52,98],"convolutional":[53],"network":[54,100],"(PFCN).":[55],"It":[56],"should":[57],"be":[58],"noted":[59],"that":[60,199],"first":[63,95],"investigates":[64],"deal":[73],"with":[74,102,211],"conditions":[80],"in":[81,146,189],"both":[82,190],"simulated":[83,191],"real-field":[85,193],"environments.":[87,195],"Specifically,":[88],"PFCN":[90,202],"includes":[91],"three":[92],"subnetworks.":[93],"The":[94,124,150,196],"uses":[96,127],"neural":[99],"(FNN)":[101],"feedback":[103],"layer,":[107],"capturing":[109],"particularity":[111],"temporal":[113],"variation":[114],"high-dimensional":[116],"reducing":[120],"time-space":[122],"complexity.":[123],"second":[125],"subnetwork":[126,152],"1-D":[129],"convolution":[130],"convert":[132],"data":[135,148],"into":[136],"feature":[137],"sequences,":[138],"providing":[139],"high":[140],"accuracy":[141,209],"low":[143],"computational":[144],"complexity":[145],"classification.":[149],"third":[151],"fusion-separation":[155],"mechanism":[156],"extracted":[161],"features,":[165],"suppressing":[166],"interference":[169],"ensuring":[171],"higher":[172],"accuracy.":[174],"evaluate":[176],"PFCN,":[180],"series":[182],"experiments":[184],"has":[185,204],"been":[186],"set":[187],"up":[188],"results":[197],"indicate":[198],"proposed":[201],"model":[203],"better":[205],"robustness":[206],"compared":[210],"several":[212],"mainstream":[213],"models.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":8}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}