{"id":"https://openalex.org/W2744698444","doi":"https://doi.org/10.1109/hsi.2017.8005044","title":"Driver drowsiness monitoring by learning vehicle telemetry data","display_name":"Driver drowsiness monitoring by learning vehicle telemetry data","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2744698444","doi":"https://doi.org/10.1109/hsi.2017.8005044","mag":"2744698444"},"language":"en","primary_location":{"id":"doi:10.1109/hsi.2017.8005044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi.2017.8005044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Conference on Human System Interactions (HSI)","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/A5012399224","display_name":"Vasudevan Kashyap","orcid":null},"institutions":[{"id":"https://openalex.org/I1318430499","display_name":"Tata Elxsi (India)","ror":"https://ror.org/03dyet424","country_code":"IN","type":"company","lineage":["https://openalex.org/I1318430499","https://openalex.org/I4210086519"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kashyap Vasudevan","raw_affiliation_strings":["Tata Elxsi Ltd., Technopark, Trivandrum, India"],"affiliations":[{"raw_affiliation_string":"Tata Elxsi Ltd., Technopark, Trivandrum, India","institution_ids":["https://openalex.org/I1318430499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069137167","display_name":"Anjana P. Das","orcid":null},"institutions":[{"id":"https://openalex.org/I1318430499","display_name":"Tata Elxsi (India)","ror":"https://ror.org/03dyet424","country_code":"IN","type":"company","lineage":["https://openalex.org/I1318430499","https://openalex.org/I4210086519"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anjana P Das","raw_affiliation_strings":["Tata Elxsi Ltd., Technopark, Trivandrum, India"],"affiliations":[{"raw_affiliation_string":"Tata Elxsi Ltd., Technopark, Trivandrum, India","institution_ids":["https://openalex.org/I1318430499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103211258","display_name":"B Sandhya","orcid":"https://orcid.org/0000-0003-1109-8544"},"institutions":[{"id":"https://openalex.org/I1318430499","display_name":"Tata Elxsi (India)","ror":"https://ror.org/03dyet424","country_code":"IN","type":"company","lineage":["https://openalex.org/I1318430499","https://openalex.org/I4210086519"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sandhya B","raw_affiliation_strings":["Tata Elxsi Ltd., Technopark, Trivandrum, India"],"affiliations":[{"raw_affiliation_string":"Tata Elxsi Ltd., Technopark, Trivandrum, India","institution_ids":["https://openalex.org/I1318430499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048428675","display_name":"P Subith","orcid":null},"institutions":[{"id":"https://openalex.org/I1318430499","display_name":"Tata Elxsi (India)","ror":"https://ror.org/03dyet424","country_code":"IN","type":"company","lineage":["https://openalex.org/I1318430499","https://openalex.org/I4210086519"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subith P","raw_affiliation_strings":["Tata Elxsi Ltd., Technopark, Trivandrum, India"],"affiliations":[{"raw_affiliation_string":"Tata Elxsi Ltd., Technopark, Trivandrum, India","institution_ids":["https://openalex.org/I1318430499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012399224"],"corresponding_institution_ids":["https://openalex.org/I1318430499"],"apc_list":null,"apc_paid":null,"fwci":0.4352,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.68914496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/telematics","display_name":"Telematics","score":0.7841556072235107},{"id":"https://openalex.org/keywords/telemetry","display_name":"Telemetry","score":0.6528245806694031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6383242011070251},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5881071090698242},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.577494204044342},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.5724195837974548},{"id":"https://openalex.org/keywords/prognostics","display_name":"Prognostics","score":0.459838330745697},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4229503273963928},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3353317379951477},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.30795055627822876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3010832667350769},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12944388389587402},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12371256947517395}],"concepts":[{"id":"https://openalex.org/C89074322","wikidata":"https://www.wikidata.org/wiki/Q485669","display_name":"Telematics","level":2,"score":0.7841556072235107},{"id":"https://openalex.org/C183121708","wikidata":"https://www.wikidata.org/wiki/Q209867","display_name":"Telemetry","level":2,"score":0.6528245806694031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6383242011070251},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5881071090698242},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.577494204044342},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.5724195837974548},{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.459838330745697},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4229503273963928},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3353317379951477},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30795055627822876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3010832667350769},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12944388389587402},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12371256947517395},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hsi.2017.8005044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi.2017.8005044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Conference on Human System Interactions (HSI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W894932664","https://openalex.org/W1529355025","https://openalex.org/W2083767335","https://openalex.org/W2120765489","https://openalex.org/W2155217597","https://openalex.org/W2166880842","https://openalex.org/W2295091167","https://openalex.org/W2339645138","https://openalex.org/W2525948926","https://openalex.org/W2557391638","https://openalex.org/W2562770531","https://openalex.org/W2567333926","https://openalex.org/W2567487777","https://openalex.org/W2569538213","https://openalex.org/W2767125546","https://openalex.org/W6624007714","https://openalex.org/W6678111078","https://openalex.org/W6945207916"],"related_works":["https://openalex.org/W2310476526","https://openalex.org/W3213192587","https://openalex.org/W2144291498","https://openalex.org/W2535730979","https://openalex.org/W2370073012","https://openalex.org/W4386567722","https://openalex.org/W2168646784","https://openalex.org/W2030958945","https://openalex.org/W2466930957","https://openalex.org/W3182014137"],"abstract_inverted_index":{"For":[0],"a":[1,25,61,84,89,104,117,163],"safety":[2],"critical":[3],"task":[4],"like":[5,130],"driving,":[6],"it":[7,73],"is":[8,86,115,124],"very":[9,62],"important":[10],"for":[11,140],"the":[12,95,134],"driver":[13,26,85,131],"to":[14,59],"be":[15,60,137],"vigilant":[16],"at":[17],"all":[18],"times.":[19],"In":[20],"this":[21],"study,":[22],"we":[23],"explore":[24],"drowsiness":[27],"monitoring":[28,53],"and":[29,68,99,146,160],"early":[30],"warning":[31],"system,":[32],"which":[33,114],"uses":[34],"machine":[35,105],"learning":[36,106],"techniques":[37,71],"based":[38,70,107],"on":[39,110,126,162],"vehicle":[40,111,141],"telemetry":[41,112],"data.":[42,119],"The":[43,78],"proposed":[44],"system":[45],"can":[46,136],"ensure":[47],"safe":[48],"driving":[49,55,143],"by":[50],"real":[51],"time":[52],"of":[54,80,83],"pattern.":[56],"This":[57],"proves":[58],"cost":[63],"effective":[64],"technique":[65],"over":[66],"biometric":[67],"camera":[69],"since":[72],"doesn't":[74],"involve":[75],"expensive":[76],"sensors.":[77],"detection":[79],"drowsy":[81],"state":[82],"modeled":[87],"as":[88],"binary":[90],"classification":[91,108],"issue.":[92],"We":[93,154],"outline":[94],"design":[96],"methodology":[97],"followed":[98],"challenges":[100],"faced":[101],"in":[102,151],"developing":[103],"scheme":[109],"data,":[113],"essentially":[116],"time-series":[118],"Even":[120],"though":[121],"our":[122,157],"study":[123],"focused":[125],"an":[127],"exemplary":[128],"application":[129],"attention":[132],"monitoring,":[133],"results":[135],"equally":[138],"applied":[139],"prognostics,":[142],"style":[144],"analytics":[145],"various":[147],"other":[148],"telematics":[149],"applications":[150],"automotive":[152],"industry.":[153],"have":[155],"done":[156],"entire":[158],"development":[159],"validation":[161],"driver-in-loop":[164],"simulation":[165],"platform.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}