{"id":"https://openalex.org/W2773984317","doi":"https://doi.org/10.1109/smc.2017.8122609","title":"Driver's fatigue prediction by deep covariance learning from EEG","display_name":"Driver's fatigue prediction by deep covariance learning from EEG","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2773984317","doi":"https://doi.org/10.1109/smc.2017.8122609","mag":"2773984317"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8122609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-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/A5023761710","display_name":"Mehdi Hajinoroozi","orcid":null},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mehdi Hajinoroozi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010876405","display_name":"Jianqiu Michelle Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianqiu Michelle Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068887242","display_name":"Yufei Huang","orcid":"https://orcid.org/0000-0001-6268-5357"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yufei Huang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, USA","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023761710"],"corresponding_institution_ids":["https://openalex.org/I45438204"],"apc_list":null,"apc_paid":null,"fwci":1.4098,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.8146857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"240","last_page":"245"},"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9980999827384949,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/covariance","display_name":"Covariance","score":0.8780632019042969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7051398158073425},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6352001428604126},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6062107086181641},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.6060178875923157},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5969006419181824},{"id":"https://openalex.org/keywords/analysis-of-covariance","display_name":"Analysis of covariance","score":0.5814483761787415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5632402300834656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5090546011924744},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.4719749391078949},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46827220916748047},{"id":"https://openalex.org/keywords/mat\u00e9rn-covariance-function","display_name":"Mat\u00e9rn covariance function","score":0.45062142610549927},{"id":"https://openalex.org/keywords/rational-quadratic-covariance-function","display_name":"Rational quadratic covariance function","score":0.44815903902053833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3057602643966675},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28511977195739746},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20245996117591858},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10382133722305298}],"concepts":[{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.8780632019042969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7051398158073425},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6352001428604126},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6062107086181641},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.6060178875923157},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5969006419181824},{"id":"https://openalex.org/C119340705","wikidata":"https://www.wikidata.org/wiki/Q1628597","display_name":"Analysis of covariance","level":2,"score":0.5814483761787415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5632402300834656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5090546011924744},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.4719749391078949},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46827220916748047},{"id":"https://openalex.org/C118006245","wikidata":"https://www.wikidata.org/wiki/Q6792079","display_name":"Mat\u00e9rn covariance function","level":5,"score":0.45062142610549927},{"id":"https://openalex.org/C148893098","wikidata":"https://www.wikidata.org/wiki/Q7295778","display_name":"Rational quadratic covariance function","level":5,"score":0.44815903902053833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3057602643966675},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28511977195739746},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20245996117591858},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10382133722305298},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2017.8122609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W566612420","https://openalex.org/W1526657239","https://openalex.org/W1575153708","https://openalex.org/W1612549465","https://openalex.org/W2018120351","https://openalex.org/W2035715639","https://openalex.org/W2096597330","https://openalex.org/W2118492722","https://openalex.org/W2163605009","https://openalex.org/W2244991220","https://openalex.org/W2414309931","https://openalex.org/W2517500902","https://openalex.org/W2754231832","https://openalex.org/W2963728031"],"related_works":["https://openalex.org/W2022823194","https://openalex.org/W2110484224","https://openalex.org/W2046078371","https://openalex.org/W3128703436","https://openalex.org/W4315750325","https://openalex.org/W3178402891","https://openalex.org/W143964308","https://openalex.org/W2126916073","https://openalex.org/W2104526128","https://openalex.org/W2367103659"],"abstract_inverted_index":{"We":[0],"present":[1],"here":[2],"deep":[3,20,40,66,112],"covariance":[4,21,31,41,67,85,113],"learning":[5,22,42,49,68,114],"models":[6,23],"for":[7,61,120],"predicting":[8],"drivers'":[9,121],"drowsy":[10],"and":[11,28,54,87],"alert":[12],"states":[13],"from":[14,104],"Electroencephalography":[15],"(EEG).":[16],"Three":[17],"types":[18],"of":[19,92],"are":[24],"proposed:":[25],"SPDNet,":[26],"CNN,":[27],"DNN":[29],"on":[30,81],"matrices.":[32],"Our":[33,108],"test":[34],"results":[35],"show":[36],"that":[37,111],"all":[38],"the":[39,65,70,90,93],"methods":[43,50,53],"reported":[44],"better":[45],"performance":[46,73],"than":[47],"shallow":[48,95],"including":[51],"Riemannian":[52],"STCNN,":[55],"a":[56,77,116],"previously":[57],"proposed":[58],"CNN":[59,78],"model":[60,79],"EEG":[62,84],"classification.":[63],"Among":[64],"methods,":[69],"best":[71,94],"classification":[72],"is":[74,115],"obtained":[75],"by":[76,102],"applied":[80],"sample":[82],"spatial":[83],"matrices":[86],"it":[88],"improved":[89],"AUC":[91],"algorithm":[96],"(logistic":[97],"regression":[98],"+":[99],"Log-Euclidean":[100],"Metric)":[101],"12.32%":[103],"70.96%":[105],"to":[106],"86.14%.":[107],"study":[109],"showed":[110],"very":[117],"promising":[118],"approach":[119],"fatigue":[122],"prediction.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
