{"id":"https://openalex.org/W3159168176","doi":"https://doi.org/10.1109/tcyb.2021.3068300","title":"Fatigue Detection of Pilots\u2019 Brain Through Brains Cognitive Map and Multilayer Latent Incremental Learning Model","display_name":"Fatigue Detection of Pilots\u2019 Brain Through Brains Cognitive Map and Multilayer Latent Incremental Learning Model","publication_year":2021,"publication_date":"2021-05-07","ids":{"openalex":"https://openalex.org/W3159168176","doi":"https://doi.org/10.1109/tcyb.2021.3068300","mag":"3159168176","pmid":"https://pubmed.ncbi.nlm.nih.gov/33961575"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2021.3068300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3068300","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/A5101566996","display_name":"Edmond Q. Wu","orcid":"https://orcid.org/0000-0002-4900-0787"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Edmond Q. Wu","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4900-0787","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058936239","display_name":"Chin\u2010Teng Lin","orcid":"https://orcid.org/0000-0001-8371-8197"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chin-Teng Lin","raw_affiliation_strings":["CIBCI Lab, Centre for Artificial Intelligence, School of Computer Science, University of Technology Sydney, Broadway, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8371-8197","affiliations":[{"raw_affiliation_string":"CIBCI Lab, Centre for Artificial Intelligence, School of Computer Science, University of Technology Sydney, Broadway, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103205239","display_name":"Limin Zhu","orcid":"https://orcid.org/0000-0003-3194-6731"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-Min Zhu","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3194-6731","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101439973","display_name":"Zhi\u2010Ri Tang","orcid":"https://orcid.org/0000-0002-0900-6500"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Z. R. Tang","raw_affiliation_strings":["School of Physics and Technology, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0900-6500","affiliations":[{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051952852","display_name":"Yu-Wen Jie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141264","display_name":"Shanghai Civil Aviation College","ror":"https://ror.org/03kkh3m26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Wen Jie","raw_affiliation_strings":["China Civil Aviation Shanghai Aircraft Airworthiness Certification Center, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Civil Aviation Shanghai Aircraft Airworthiness Certification Center, Shanghai, China","institution_ids":["https://openalex.org/I4210141264"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111961678","display_name":"Gui-Rong Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I1311643757","display_name":"Commercial Aircraft Corporation of China (China)","ror":"https://ror.org/05gxmms51","country_code":"CN","type":"company","lineage":["https://openalex.org/I1311643757"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gui-Rong Zhou","raw_affiliation_strings":["COMAC Shanghai Aircraft Design and Research Institute, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"COMAC Shanghai Aircraft Design and Research Institute, Shanghai, China","institution_ids":["https://openalex.org/I1311643757"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5523,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94852372,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"52","issue":"11","first_page":"12302","last_page":"12314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.987500011920929,"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":0.987500011920929,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9778000116348267,"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/latent-variable","display_name":"Latent variable","score":0.6458902359008789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.552707314491272},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5451956391334534},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5063713788986206},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4994077682495117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46080756187438965},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.42086923122406006},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4108723998069763},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38991740345954895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.291029691696167},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2500290870666504}],"concepts":[{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6458902359008789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.552707314491272},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5451956391334534},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5063713788986206},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4994077682495117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46080756187438965},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.42086923122406006},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4108723998069763},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38991740345954895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.291029691696167},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2500290870666504},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000070356","descriptor_name":"Pilots","qualifier_ui":"Q000523","qualifier_name":"psychology","is_major_topic":true},{"descriptor_ui":"D000070356","descriptor_name":"Pilots","qualifier_ui":"Q000523","qualifier_name":"psychology","is_major_topic":true},{"descriptor_ui":"D000070356","descriptor_name":"Pilots","qualifier_ui":"Q000523","qualifier_name":"psychology","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003071","descriptor_name":"Cognition","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":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2021.3068300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3068300","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:33961575","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33961575","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/G2352685559","display_name":null,"funder_award_id":"U1933125","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1483854707","https://openalex.org/W1545319692","https://openalex.org/W1964684330","https://openalex.org/W1969486090","https://openalex.org/W1970789124","https://openalex.org/W2013811609","https://openalex.org/W2018477105","https://openalex.org/W2050023614","https://openalex.org/W2083805078","https://openalex.org/W2094341212","https://openalex.org/W2133568543","https://openalex.org/W2136922672","https://openalex.org/W2138084290","https://openalex.org/W2146182319","https://openalex.org/W2156693754","https://openalex.org/W2241667675","https://openalex.org/W2293593600","https://openalex.org/W2328853015","https://openalex.org/W2545231353","https://openalex.org/W2559463885","https://openalex.org/W2560545236","https://openalex.org/W2786768213","https://openalex.org/W2802748234","https://openalex.org/W2808098316","https://openalex.org/W2908578648","https://openalex.org/W2914227855","https://openalex.org/W2947230502","https://openalex.org/W2950942124","https://openalex.org/W2952116256","https://openalex.org/W2963657126","https://openalex.org/W2964112095","https://openalex.org/W2967005398","https://openalex.org/W2969260977","https://openalex.org/W2975376327","https://openalex.org/W2998583340","https://openalex.org/W3047753861","https://openalex.org/W3102455230","https://openalex.org/W3128725809","https://openalex.org/W3135207255","https://openalex.org/W6602324014","https://openalex.org/W6607775107","https://openalex.org/W6631656437","https://openalex.org/W6675295344","https://openalex.org/W6676593269","https://openalex.org/W6679607006"],"related_works":["https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W4283726152","https://openalex.org/W1525770572","https://openalex.org/W1485888979","https://openalex.org/W3172507773","https://openalex.org/W2806680938","https://openalex.org/W4302285290","https://openalex.org/W4399590296","https://openalex.org/W2764679420"],"abstract_inverted_index":{"This":[0,87],"work":[1,88],"proposes":[2,90],"a":[3,46,77],"nonparametric":[4],"prior":[5],"induced":[6],"deep":[7],"sum-logarithmic-multinomial":[8],"mixture":[9],"(DSLMM)":[10],"model":[11],"to":[12,27,52,69,75,105],"detect":[13],"pilots'":[14],"cognitive":[15],"states":[16],"through":[17],"the":[18,29,36,40,57,62,71,81,84,126],"developed":[19],"brain":[20,127],"power":[21,128],"map.":[22],"DSLMM":[23,118],"uses":[24],"multinormal":[25],"distribution":[26,48,66,123],"infer":[28],"latent":[30,43],"variable":[31],"of":[32,39,59,83],"each":[33],"neuron":[34],"in":[35,61,125],"first":[37],"layer":[38,130],"network.":[41],"These":[42],"variables":[44],"obeyed":[45],"sum-logarithmic":[47],"that":[49,117],"is":[50,67],"backpropagated":[51],"its":[53,107],"observation":[54,73],"vector":[55,74],"and":[56,133],"number":[58],"neurons":[60],"next":[63,85],"layer.":[64,86],"Multinormal":[65],"used":[68],"segment":[70],"extended":[72],"form":[76],"matrix":[78],"associated":[79],"with":[80],"width":[82],"also":[89],"an":[91],"adaptive":[92],"topic-layer":[93],"stochastic":[94],"gradient":[95],"Riemann":[96],"(ATL-SGR)":[97],"Markov":[98],"chain":[99],"Monte":[100],"Carlo":[101],"(MCMC)":[102],"inference":[103],"method":[104],"learn":[106],"global":[108],"parameters":[109],"without":[110],"heuristic":[111],"assumptions.":[112],"The":[113],"experimental":[114],"results":[115],"indicate":[116],"can":[119],"extract":[120],"more":[121],"probability":[122],"contained":[124],"map":[129],"by":[131],"layer,":[132],"achieve":[134],"higher":[135],"pilot":[136],"cognition":[137],"detection":[138],"accuracy.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}