{"id":"https://openalex.org/W2912729179","doi":"https://doi.org/10.3233/jifs-169909","title":"Real time detection system of driver drowsiness based on representation learning using deep neural networks","display_name":"Real time detection system of driver drowsiness based on representation learning using deep neural networks","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2912729179","doi":"https://doi.org/10.3233/jifs-169909","mag":"2912729179"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-169909","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169909","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy 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/A5085162449","display_name":"Vineetha Vijayan","orcid":"https://orcid.org/0000-0002-9465-7753"},"institutions":[{"id":"https://openalex.org/I68695296","display_name":"Indian Institute of Information Technology and Management, Kerala","ror":"https://ror.org/02w9cdh50","country_code":"IN","type":"education","lineage":["https://openalex.org/I68695296"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vineetha Vijayan","raw_affiliation_strings":["Department of Computer Science, Indian Institute of Information Technology and Management-Kerala, IIITMK Building, P.O. Karyavattom, Technopark Campus, Kazhakkoottam, Trivandrum, Kerala, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Indian Institute of Information Technology and Management-Kerala, IIITMK Building, P.O. Karyavattom, Technopark Campus, Kazhakkoottam, Trivandrum, Kerala, India","institution_ids":["https://openalex.org/I68695296"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069222308","display_name":"Elizabeth Sherly","orcid":"https://orcid.org/0000-0001-6508-950X"},"institutions":[{"id":"https://openalex.org/I68695296","display_name":"Indian Institute of Information Technology and Management, Kerala","ror":"https://ror.org/02w9cdh50","country_code":"IN","type":"education","lineage":["https://openalex.org/I68695296"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Elizabeth Sherly","raw_affiliation_strings":["Department of Computer Science, Indian Institute of Information Technology and Management-Kerala, IIITMK Building, P.O. Karyavattom, Technopark Campus, Kazhakkoottam, Trivandrum, Kerala, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Indian Institute of Information Technology and Management-Kerala, IIITMK Building, P.O. Karyavattom, Technopark Campus, Kazhakkoottam, Trivandrum, Kerala, India","institution_ids":["https://openalex.org/I68695296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085162449"],"corresponding_institution_ids":["https://openalex.org/I68695296"],"apc_list":null,"apc_paid":null,"fwci":4.0301,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.93586419,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"1977","last_page":"1985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9998999834060669,"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":0.9998999834060669,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9283999800682068,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/softmax-function","display_name":"Softmax function","score":0.9163758754730225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7880553007125854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7346392869949341},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.636817991733551},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5684794187545776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5337527394294739},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4857845604419708},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4762827754020691},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4621788561344147},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4238923192024231}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.9163758754730225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7880553007125854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7346392869949341},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.636817991733551},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5684794187545776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5337527394294739},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4857845604419708},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4762827754020691},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4621788561344147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4238923192024231},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-169909","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169909","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1487583988","https://openalex.org/W1932847118","https://openalex.org/W1978602582","https://openalex.org/W1996754940","https://openalex.org/W2026497687","https://openalex.org/W2027286771","https://openalex.org/W2029772767","https://openalex.org/W2068494370","https://openalex.org/W2069809919","https://openalex.org/W2071709160","https://openalex.org/W2087774632","https://openalex.org/W2092728879","https://openalex.org/W2094726855","https://openalex.org/W2097117768","https://openalex.org/W2099866409","https://openalex.org/W2102409316","https://openalex.org/W2108282276","https://openalex.org/W2115647827","https://openalex.org/W2130313186","https://openalex.org/W2136922672","https://openalex.org/W2138784882","https://openalex.org/W2153823016","https://openalex.org/W2356490583","https://openalex.org/W2489292218","https://openalex.org/W2520542635","https://openalex.org/W2605351369","https://openalex.org/W2962835968","https://openalex.org/W4236965008","https://openalex.org/W4240278694","https://openalex.org/W6600116659","https://openalex.org/W6604057191","https://openalex.org/W6664298863","https://openalex.org/W6674109332","https://openalex.org/W6674832674","https://openalex.org/W6674914833","https://openalex.org/W6675401909","https://openalex.org/W6682847881"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W4226420367","https://openalex.org/W2980176872","https://openalex.org/W2962876041","https://openalex.org/W4323060069","https://openalex.org/W3095506574","https://openalex.org/W2947839263","https://openalex.org/W3190449293","https://openalex.org/W3120400911"],"abstract_inverted_index":{"One":[0],"of":[1,5,15,46,55,121,124],"the":[2,10,16,51,85,118,125],"major":[3],"issues":[4],"road":[6],"accidents":[7],"all":[8],"over":[9],"world":[11],"is":[12,19,60],"drowsiness":[13,119],"state":[14,120],"driver.":[17,57,122],"It":[18],"a":[20,25,29,56,89,113],"complex":[21],"phenomenon":[22],"to":[23,87,116],"measure":[24],"driver\u2019s":[26],"consciousness":[27],"in":[28],"direct":[30],"manner.":[31],"This":[32],"work":[33],"proposes":[34],"with":[35,112],"three":[36,63,74,126],"deep":[37],"neural":[38],"architecture":[39],"for":[40,78],"learning":[41,80],"facial":[42,99],"features":[43,86,95],"which":[44,81],"consists":[45],"68":[47],"attributes":[48],"fro":[49],"m":[50],"RGB":[52],"video":[53],"input":[54],"The":[58,93],"experimentation":[59],"conducted":[61],"by":[62],"different":[64],"CNN":[65],"models":[66],"such":[67,101],"as":[68,96,98,102],"ResNet50,":[69],"VGG16":[70],"and":[71,106,128],"InceptionV3.":[72],"These":[73],"networks":[75,127],"are":[76,109],"combined":[77],"representation":[79],"then":[82],"put":[83],"together":[84],"form":[88],"feature":[90],"fused":[91],"architecture(FFA).":[92],"trained":[94,111],"well":[97],"movements":[100],"eye":[103],"blinking,":[104],"yawning":[105],"head":[107],"swaying":[108],"again":[110],"softmax":[114],"classifier":[115],"classify":[117],"Out":[123],"FFA,":[129],"InceptionV3":[130],"shows":[131],"78%":[132],"accuracy.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}