{"id":"https://openalex.org/W2993188162","doi":"https://doi.org/10.1109/wimob.2019.8923366","title":"A Two-Stage Machine Learning Method for Highly-Accurate Drunk Driving Detection","display_name":"A Two-Stage Machine Learning Method for Highly-Accurate Drunk Driving Detection","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2993188162","doi":"https://doi.org/10.1109/wimob.2019.8923366","mag":"2993188162"},"language":"en","primary_location":{"id":"doi:10.1109/wimob.2019.8923366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wimob.2019.8923366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)","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/A5073411789","display_name":"Hasanin Harkous","orcid":"https://orcid.org/0000-0002-9439-7859"},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":true,"raw_author_name":"Hasanin Harkous","raw_affiliation_strings":["Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083537985","display_name":"Hassan Artail","orcid":"https://orcid.org/0000-0001-7648-1187"},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Hassan Artail","raw_affiliation_strings":["Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073411789"],"corresponding_institution_ids":["https://openalex.org/I98635879"],"apc_list":null,"apc_paid":null,"fwci":1.0217,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.81429112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9972000122070312,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/drunk-driving","display_name":"Drunk driving","score":0.9023176431655884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7286407947540283},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6998937726020813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5797087550163269},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5634199380874634},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48335975408554077},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.45085209608078003},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32671037316322327},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.2400052547454834},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18483230471611023},{"id":"https://openalex.org/keywords/human-factors-and-ergonomics","display_name":"Human factors and ergonomics","score":0.0963636040687561}],"concepts":[{"id":"https://openalex.org/C2993784664","wikidata":"https://www.wikidata.org/wiki/Q5309330","display_name":"Drunk driving","level":4,"score":0.9023176431655884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7286407947540283},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6998937726020813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5797087550163269},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5634199380874634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48335975408554077},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.45085209608078003},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32671037316322327},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.2400052547454834},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18483230471611023},{"id":"https://openalex.org/C166735990","wikidata":"https://www.wikidata.org/wiki/Q1750812","display_name":"Human factors and ergonomics","level":3,"score":0.0963636040687561},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wimob.2019.8923366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wimob.2019.8923366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)","raw_type":"proceedings-article"},{"id":"mag:3086819936","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902280747200209","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W72991422","https://openalex.org/W198879584","https://openalex.org/W1012462188","https://openalex.org/W1152039768","https://openalex.org/W1544016679","https://openalex.org/W2004276865","https://openalex.org/W2105594594","https://openalex.org/W2107633943","https://openalex.org/W2119821739","https://openalex.org/W2142384583","https://openalex.org/W2151666054","https://openalex.org/W2538073050","https://openalex.org/W2783362907","https://openalex.org/W2795641476","https://openalex.org/W2909369342","https://openalex.org/W4239510810","https://openalex.org/W4252199061","https://openalex.org/W4300995080","https://openalex.org/W6602985447","https://openalex.org/W6627672771"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2025614924","https://openalex.org/W2735765216","https://openalex.org/W3145575561","https://openalex.org/W2995886640","https://openalex.org/W1591475660","https://openalex.org/W2294335174","https://openalex.org/W2001275470","https://openalex.org/W2164162849"],"abstract_inverted_index":{"Abnormal":[0],"driving":[1,11,17,32,46,54],"refers":[2],"mostly":[3],"to":[4,24,26,71],"drunk":[5,16,45,53],"driving,":[6,8],"fatigue":[7],"and":[9,68,105],"aggressive":[10],"behaviors.":[12,33],"This":[13],"work":[14,99],"addresses":[15],"detection,":[18],"which":[19],"actually":[20],"can":[21],"be":[22],"extended":[23],"apply":[25],"detection":[27],"of":[28,75,92],"the":[29,38,76,86,125],"other":[30],"abnormal":[31],"The":[34,80],"approach":[35],"learns":[36],"about":[37],"related":[39],"on-board":[40],"vehicle":[41],"sensors":[42,78],"for":[43,85],"detecting":[44],"behaviors":[47],"based":[48,102],"on":[49,103],"learning":[50],"using":[51],"certain":[52],"cues.":[55],"In":[56],"a":[57,62,90],"previous":[58],"work,":[59],"we":[60,95],"developed":[61],"Hidden":[63],"Markov":[64],"Model":[65],"(HMM)":[66],"method":[67],"applied":[69],"it":[70],"each":[72],"time":[73,113],"series":[74],"selected":[77],"measurements.":[79],"prediction":[81],"accuracy":[82,120],"was":[83,101],"highest":[84],"longitudinal":[87],"acceleration,":[88],"with":[89],"maximum":[91],"79%.":[93],"Here,":[94],"extend":[96],"our":[97,116],"early":[98],"that":[100,110,122],"HMMs":[104],"employ":[106],"Recurrent":[107],"Neural":[108],"Networks":[109],"specialize":[111],"in":[112],"series,":[114],"where":[115],"testing":[117],"results":[118],"indicate":[119],"percentages":[121],"go":[123],"into":[124],"upper":[126],"nineties.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-03T16:38:21.277918","created_date":"2025-10-10T00:00:00"}