{"id":"https://openalex.org/W3128763531","doi":"https://doi.org/10.1109/iciss49785.2020.9316131","title":"Learning based Driver Drowsiness Detection Model","display_name":"Learning based Driver Drowsiness Detection Model","publication_year":2020,"publication_date":"2020-12-03","ids":{"openalex":"https://openalex.org/W3128763531","doi":"https://doi.org/10.1109/iciss49785.2020.9316131","mag":"3128763531"},"language":"en","primary_location":{"id":"doi:10.1109/iciss49785.2020.9316131","doi":"https://doi.org/10.1109/iciss49785.2020.9316131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciss49785.2020.9316131","pdf_url":null,"source":{"id":"https://openalex.org/S7407088854","display_name":"International Conference on Intelligent Sustainable Systems (ICISS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 3rd International Conference on Intelligent Sustainable Systems (ICISS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5036115882","display_name":"Jagendra Singh","orcid":"https://orcid.org/0000-0002-6871-2050","observed_orcids":["https://orcid.org/0000-0002-6871-2050"]},"institutions":[{"id":"https://openalex.org/I3129773123","display_name":"Bennett University","ror":"https://ror.org/00an5hx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129773123"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jagendra Singh","raw_affiliation_strings":["School of Engineering and Applied Sciences, Bennett University, Greater Noida, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Sciences, Bennett University, Greater Noida, India","institution_ids":["https://openalex.org/I3129773123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036115882"],"corresponding_institution_ids":["https://openalex.org/I3129773123"],"apc_list":null,"apc_paid":null,"fwci":3.8971,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.94155181,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"698","last_page":"701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9945999979972839,"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":0.9945999979972839,"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/T11448","display_name":"Face recognition and analysis","score":0.002300000051036477,"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"}},{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/driver-drowsiness-detection","display_name":"driver drowsiness detection","score":0.9909999966621399},{"id":"https://openalex.org/keywords/microsleep","display_name":"microsleep","score":0.7599999904632568},{"id":"https://openalex.org/keywords/facial-key-points","display_name":"facial key points","score":0.7099999785423279},{"id":"https://openalex.org/keywords/driver-fatigue","display_name":"driver fatigue","score":0.699999988079071},{"id":"https://openalex.org/keywords/road-safety","display_name":"road safety","score":0.5609999895095825},{"id":"https://openalex.org/keywords/drowsiness-alert-system","display_name":"drowsiness alert system","score":0.6790000200271606},{"id":"https://openalex.org/keywords/face-detection","display_name":"face detection","score":0.503000020980835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6596038937568665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4483182430267334},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44753599166870117},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4401625692844391},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3621305823326111},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33548352122306824}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciss49785.2020.9316131","doi":"https://doi.org/10.1109/iciss49785.2020.9316131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciss49785.2020.9316131","pdf_url":null,"source":{"id":"https://openalex.org/S7407088854","display_name":"International Conference on Intelligent Sustainable Systems (ICISS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 3rd International Conference on Intelligent Sustainable Systems (ICISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4043000042438507}],"sustainable_development_goals_aurora":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4699999988079071}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1160915619","https://openalex.org/W1892483122","https://openalex.org/W2059050813","https://openalex.org/W2112516260","https://openalex.org/W2146976664","https://openalex.org/W2158172993","https://openalex.org/W2162998065","https://openalex.org/W2397616778","https://openalex.org/W2407656860","https://openalex.org/W2529708149","https://openalex.org/W2563865326","https://openalex.org/W2755770860","https://openalex.org/W2904341128"],"related_works":["https://openalex.org/W4283706080","https://openalex.org/W4309549937","https://openalex.org/W4376288790","https://openalex.org/W3185415038","https://openalex.org/W4309520234","https://openalex.org/W4385080427","https://openalex.org/W4391992859","https://openalex.org/W4393028195","https://openalex.org/W3169620786","https://openalex.org/W3163676492"],"abstract_inverted_index":{"Drivers":[0],"drive":[1],"for":[2,41,121],"long":[3],"hours":[4],"which":[5,38],"deteriorates":[6],"their":[7],"health.":[8],"Due":[9],"to":[10,27,49,56,58,86,90,99,135,144],"this,":[11,71],"the":[12,20,53,62,101,137],"drivers":[13,93],"are":[14],"often":[15,18],"tired":[16],"and":[17,64],"on":[19],"verge":[21],"of":[22,30,36,44,70,82],"fatigue.":[23],"This":[24,96],"leads":[25],"them":[26],"have":[28,74],"bursts":[29],"microsleep":[31],"i.e.":[32,107],"a":[33,42,45,68,76,88,105,117,132],"interim":[34],"episode":[35],"sleepiness":[37],"may":[39],"last":[40],"fraction":[43],"second":[46],"or":[47],"up":[48,143],"30":[50],"seconds,":[51],"where":[52],"victim":[54],"fails":[55],"react":[57],"some":[59],"stimulus":[60],"from":[61],"environment":[63],"becomes":[65],"unconscious.":[66],"As":[67],"result":[69],"road":[72],"accidents":[73],"become":[75],"common":[77],"occurrence":[78],"globally.":[79],"The":[80,140],"purpose":[81],"this":[83],"paper":[84],"is":[85],"devise":[87],"way":[89],"alert":[91],"drowsy":[92,108],"while":[94],"driving.":[95],"study":[97],"attempted":[98],"address":[100],"issue":[102],"by":[103],"creating":[104],"module":[106],"eyes":[109],"detection.":[110],"Using":[111],"68":[112],"key":[113,133],"points,":[114],"we":[115,126],"devised":[116],"new":[118],"detection":[119],"approach":[120],"facial":[122,129],"regions.":[123],"After":[124],"that":[125],"use":[127],"these":[128],"regions":[130],"as":[131],"point":[134],"evaluate":[136],"driver's":[138],"state.":[139],"accuracy":[141],"was":[142],"92.5%.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":47},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":5}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2021-02-15T00:00:00"}
