{"id":"https://openalex.org/W3133744144","doi":"https://doi.org/10.23919/icact51234.2021.9370746","title":"A Transfer Learning Approach for Identification of Distracted Driving","display_name":"A Transfer Learning Approach for Identification of Distracted Driving","publication_year":2021,"publication_date":"2021-02-07","ids":{"openalex":"https://openalex.org/W3133744144","doi":"https://doi.org/10.23919/icact51234.2021.9370746","mag":"3133744144"},"language":"en","primary_location":{"id":"doi:10.23919/icact51234.2021.9370746","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact51234.2021.9370746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 23rd International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"},"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/A5058096527","display_name":"Ikromjanov Kobiljon Komil Ugli","orcid":null},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ikromjanov Kobiljon Komil Ugli","raw_affiliation_strings":["Institute of Digital Anti-Aging Healthcare, Inje University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Digital Anti-Aging Healthcare, Inje University, South Korea","institution_ids":["https://openalex.org/I104338594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003020971","display_name":"Ali Hussain","orcid":"https://orcid.org/0000-0001-6208-6100"},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ali Hussain","raw_affiliation_strings":["Institute of Digital Anti-Aging Healthcare, Inje University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Digital Anti-Aging Healthcare, Inje University, South Korea","institution_ids":["https://openalex.org/I104338594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110246459","display_name":"Beom Su Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Beom Su Kim","raw_affiliation_strings":["Institute of Digital Anti-Aging Healthcare, Inje University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Digital Anti-Aging Healthcare, Inje University, South Korea","institution_ids":["https://openalex.org/I104338594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042941412","display_name":"Satyabrata Aich","orcid":"https://orcid.org/0000-0003-4034-5882"},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Satyabrata Aich","raw_affiliation_strings":["Institute of Digital Anti-Aging Healthcare, Inje University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Digital Anti-Aging Healthcare, Inje University, South Korea","institution_ids":["https://openalex.org/I104338594"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102020002","display_name":"Hee\u2010Cheol Kim","orcid":"https://orcid.org/0000-0002-5399-7647"},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hee-Cheol Kim","raw_affiliation_strings":["Department of Computer Engineering, Institute of Digital Anti-Aging Healthcare/u-HARC, Inje University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Institute of Digital Anti-Aging Healthcare/u-HARC, Inje University, South Korea","institution_ids":["https://openalex.org/I104338594"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I104338594"],"apc_list":null,"apc_paid":null,"fwci":1.4594,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7830755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9896000027656555,"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/distraction","display_name":"Distraction","score":0.8956955671310425},{"id":"https://openalex.org/keywords/distracted-driving","display_name":"Distracted driving","score":0.8657262325286865},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7488815188407898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6843733787536621},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5720722079277039},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.46956944465637207},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45768868923187256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4423012435436249},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4065246284008026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3424190878868103},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32468777894973755}],"concepts":[{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.8956955671310425},{"id":"https://openalex.org/C2776465824","wikidata":"https://www.wikidata.org/wiki/Q5283083","display_name":"Distracted driving","level":3,"score":0.8657262325286865},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7488815188407898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6843733787536621},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5720722079277039},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.46956944465637207},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45768868923187256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4423012435436249},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4065246284008026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3424190878868103},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32468777894973755},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact51234.2021.9370746","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact51234.2021.9370746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 23rd International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1634447992","https://openalex.org/W2150025598","https://openalex.org/W2890157139","https://openalex.org/W2946368029","https://openalex.org/W4237788247","https://openalex.org/W4298947612","https://openalex.org/W6636747605","https://openalex.org/W6740710302"],"related_works":["https://openalex.org/W626594146","https://openalex.org/W2051187670","https://openalex.org/W2891960815","https://openalex.org/W2946368029","https://openalex.org/W2169604921","https://openalex.org/W3134108314","https://openalex.org/W3014797439","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557"],"abstract_inverted_index":{"In":[0,49],"recent":[1],"years,":[2],"the":[3,13,17,26,47,60,80,112,125,141],"number":[4],"of":[5,29,43,62,129,136,138],"motor":[6],"vehicle":[7],"traffic":[8,68],"crashes":[9],"is":[10,34,39,124],"rising":[11],"around":[12],"world.":[14],"According":[15],"to":[16,66,78,99],"United":[18],"States":[19],"National":[20],"Highway":[21],"Traffic":[22],"Safety":[23],"Administration":[24],"(NHTSA),":[25],"main":[27],"cause":[28],"road":[30],"fatalities":[31],"and":[32,58,70,85,102,108],"injuries":[33],"distracted":[35],"drivers.":[36],"Driver":[37],"distraction":[38],"a":[40,52],"specific":[41],"sort":[42],"driver":[44],"interference":[45],"on":[46,118,140],"roadway.":[48],"this":[50],"case,":[51],"deep":[53],"learning-based":[54],"system":[55,81],"can":[56],"detect":[57],"distinguish":[59],"source":[61],"distractions":[63],"in":[64],"real-time,":[65],"avoid":[67],"accidents":[69],"make":[71],"better":[72],"transport":[73],"safety.":[74],"This":[75],"paper":[76],"attempts":[77],"develop":[79],"using":[82,104],"transfer":[83,116],"learning":[84,117],"fine-tuning":[86,98],"methods":[87],"with":[88,97,121],"different":[89],"model":[90,127],"architectures.":[91],"Various":[92],"pre-trained":[93],"weights":[94],"were":[95],"used":[96],"improve":[100],"accuracy":[101,139],"implemented":[103],"Mobile":[105,119],"Net,":[106],"VGG16,":[107],"ResNet50":[109],"models.":[110],"Finally,":[111],"results":[113],"illustrate":[114],"that":[115],"Net":[120],"frozen":[122],"layers":[123],"best":[126],"out":[128,135],"three":[130],"models":[131],"getting":[132],"99%":[133],"(495":[134],"500)":[137],"test":[142],"dataset":[143],"images.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
