{"id":"https://openalex.org/W4392982051","doi":"https://doi.org/10.1109/cvmi59935.2023.10464727","title":"Identifying Occurrences of Abnormal and Drunk Driving Using Smartphones","display_name":"Identifying Occurrences of Abnormal and Drunk Driving Using Smartphones","publication_year":2023,"publication_date":"2023-12-10","ids":{"openalex":"https://openalex.org/W4392982051","doi":"https://doi.org/10.1109/cvmi59935.2023.10464727"},"language":"en","primary_location":{"id":"doi:10.1109/cvmi59935.2023.10464727","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cvmi59935.2023.10464727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","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/A5065051497","display_name":"Deeksha Agrawal","orcid":null},"institutions":[{"id":"https://openalex.org/I9747756","display_name":"Atal Bihari Vajpayee Indian Institute of Information Technology and Management","ror":"https://ror.org/008b3ap06","country_code":"IN","type":"education","lineage":["https://openalex.org/I9747756"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Deeksha Agrawal","raw_affiliation_strings":["ABV-IIITM,Department of Information Technology,Gwalior,Madhya Pradesh,India,474015"],"affiliations":[{"raw_affiliation_string":"ABV-IIITM,Department of Information Technology,Gwalior,Madhya Pradesh,India,474015","institution_ids":["https://openalex.org/I9747756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044649871","display_name":"Shashikala Tapaswi","orcid":"https://orcid.org/0000-0002-6830-2895"},"institutions":[{"id":"https://openalex.org/I9747756","display_name":"Atal Bihari Vajpayee Indian Institute of Information Technology and Management","ror":"https://ror.org/008b3ap06","country_code":"IN","type":"education","lineage":["https://openalex.org/I9747756"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shashikala Tapaswi","raw_affiliation_strings":["ABV-IIITM,Department of Computer Science &#x0026; Engineering,Gwalior,Madhya Pradesh,India,474015"],"affiliations":[{"raw_affiliation_string":"ABV-IIITM,Department of Computer Science &#x0026; Engineering,Gwalior,Madhya Pradesh,India,474015","institution_ids":["https://openalex.org/I9747756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065051497"],"corresponding_institution_ids":["https://openalex.org/I9747756"],"apc_list":null,"apc_paid":null,"fwci":0.123,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47007675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9944999814033508,"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":0.9944999814033508,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9577000141143799,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9316999912261963,"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":0.7253245711326599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6580347418785095},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.393071711063385},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3420577645301819},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09820348024368286},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.08748912811279297},{"id":"https://openalex.org/keywords/human-factors-and-ergonomics","display_name":"Human factors and ergonomics","score":0.0629526674747467},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.05480259656906128}],"concepts":[{"id":"https://openalex.org/C2993784664","wikidata":"https://www.wikidata.org/wiki/Q5309330","display_name":"Drunk driving","level":4,"score":0.7253245711326599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6580347418785095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.393071711063385},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3420577645301819},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09820348024368286},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.08748912811279297},{"id":"https://openalex.org/C166735990","wikidata":"https://www.wikidata.org/wiki/Q1750812","display_name":"Human factors and ergonomics","level":3,"score":0.0629526674747467},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.05480259656906128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvmi59935.2023.10464727","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cvmi59935.2023.10464727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W38301456","https://openalex.org/W2049012761","https://openalex.org/W2064675550","https://openalex.org/W2151666054","https://openalex.org/W2241413659","https://openalex.org/W2539417147","https://openalex.org/W2566920298","https://openalex.org/W2605751614","https://openalex.org/W2902736485","https://openalex.org/W2911277083","https://openalex.org/W2959675813","https://openalex.org/W6601578796"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2235880800","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2151666054","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2320370026","https://openalex.org/W2382290278","https://openalex.org/W2478288626"],"abstract_inverted_index":{"Drunk":[0,75],"driving":[1,48,76,108,159,169],"is":[2,28,47,77,87],"the":[3,12,50,65,132,146,157,183,189,193],"act":[4],"of":[5,14,81,95,139,176],"operating":[6],"a":[7,22,29,78,185],"motor":[8],"vehicle":[9],"while":[10],"under":[11,49],"influence":[13],"alcohol":[15],"or":[16,59,137],"other":[17,71],"drugs":[18],"that":[19,32],"can":[20,33,111],"impair":[21],"person's":[23],"ability":[24],"to":[25,35,55,61,155,187],"drive.":[26],"It":[27],"serious":[30],"offense":[31],"lead":[34],"deadly":[36],"consequences.":[37],"Alcohol":[38],"impairs":[39],"judgment,":[40],"coordination":[41],"and":[42,70,85,124,150,173],"reaction":[43],"time.":[44],"When":[45],"someone":[46],"influence,":[51],"they":[52],"are":[53,180],"unable":[54],"make":[56],"quick":[57],"decisions":[58],"react":[60],"sudden":[62],"changes":[63],"in":[64,89,131,145,161,192],"environment.":[66],"This":[67],"puts":[68],"themselves":[69],"drivers":[72],"at":[73],"risk.":[74],"major":[79,97],"cause":[80],"fatal":[82],"car":[83],"crashes,":[84],"it":[86],"illegal":[88],"every":[90],"state.":[91],"In":[92,182],"initial":[93],"phase":[94],"research,":[96],"focus":[98],"have":[99],"been":[100],"given":[101],"for":[102],"reviewing":[103],"existing":[104],"methods.":[105,128,141],"Overall":[106],"drunk":[107,158,168],"detection":[109],"problem":[110,174],"be":[112,197],"solved":[113],"by":[114],"three":[115],"methods":[116,154],"i.e,":[117],"1)":[118],"Dynamic":[119],"Time":[120],"Warping,":[121],"2)":[122],"Threshold-based,":[123],"3)":[125],"Machine":[126],"Learning":[127],"Most":[129],"works":[130],"related":[133],"architecture":[134],"follows":[135],"one":[136],"more":[138],"these":[140],"The":[142],"proposed":[143],"methodology":[144],"study":[147],"uses":[148],"threshold-based":[149],"machine":[151],"learning":[152],"based":[153],"detect":[156],"incidents":[160],"details.":[162],"Based":[163],"on":[164,167],"extensive":[165],"studies":[166],"detection,":[170],"research":[171,178],"gaps":[172],"definition":[175],"this":[177],"work":[179],"highlighted.":[181],"future,":[184],"system":[186],"overcome":[188],"limitations":[190],"presented":[191],"base":[194],"paper":[195],"will":[196],"developed.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
