{"id":"https://openalex.org/W2970499369","doi":"https://doi.org/10.1108/dta-09-2018-0086","title":"Head motion coefficient-based algorithm for distracted driving detection","display_name":"Head motion coefficient-based algorithm for distracted driving detection","publication_year":2019,"publication_date":"2019-06-07","ids":{"openalex":"https://openalex.org/W2970499369","doi":"https://doi.org/10.1108/dta-09-2018-0086","mag":"2970499369"},"language":"en","primary_location":{"id":"doi:10.1108/dta-09-2018-0086","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-09-2018-0086","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-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/A5086102702","display_name":"Kwok Tai Chui","orcid":"https://orcid.org/0000-0001-7992-9901"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwok Tai Chui","raw_affiliation_strings":["Department of Electronic Engineering, College of Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, College of Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058545850","display_name":"Wadee Alhalabi","orcid":"https://orcid.org/0000-0002-4505-7268"},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Wadee Alhalabi","raw_affiliation_strings":["Department of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061907283","display_name":"Ryan Wen Liu","orcid":"https://orcid.org/0000-0002-1591-5583"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ryan Wen Liu","raw_affiliation_strings":["School of Navigation, Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Navigation, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7186,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69201513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"53","issue":"2","first_page":"171","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9984999895095825,"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":0.8391931653022766},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6801796555519104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6195854544639587},{"id":"https://openalex.org/keywords/distracted-driving","display_name":"Distracted driving","score":0.5969885587692261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.511358916759491},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.5021467208862305},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4555559754371643},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4166211783885956},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4088936746120453},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3726637363433838},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0956898033618927}],"concepts":[{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.8391931653022766},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6801796555519104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6195854544639587},{"id":"https://openalex.org/C2776465824","wikidata":"https://www.wikidata.org/wiki/Q5283083","display_name":"Distracted driving","level":3,"score":0.5969885587692261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.511358916759491},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5021467208862305},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4555559754371643},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4166211783885956},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4088936746120453},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3726637363433838},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0956898033618927},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/dta-09-2018-0086","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-09-2018-0086","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.550000011920929,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W574043080","https://openalex.org/W588358579","https://openalex.org/W601322659","https://openalex.org/W2019177772","https://openalex.org/W2052604480","https://openalex.org/W2087857375","https://openalex.org/W2094415483","https://openalex.org/W2108226563","https://openalex.org/W2133658999","https://openalex.org/W2297761788","https://openalex.org/W2395515569","https://openalex.org/W2551510866","https://openalex.org/W2571087868","https://openalex.org/W2593216954","https://openalex.org/W2622397598","https://openalex.org/W2626062997","https://openalex.org/W2745090846","https://openalex.org/W2750869483","https://openalex.org/W2751088292","https://openalex.org/W2765496083","https://openalex.org/W2766726992","https://openalex.org/W2773972282","https://openalex.org/W2789522054","https://openalex.org/W2793667632","https://openalex.org/W2830748729","https://openalex.org/W2919287442","https://openalex.org/W4236153927"],"related_works":["https://openalex.org/W626594146","https://openalex.org/W2051187670","https://openalex.org/W2891960815","https://openalex.org/W2946368029","https://openalex.org/W3134108314","https://openalex.org/W2169604921","https://openalex.org/W4205975769","https://openalex.org/W2891012803","https://openalex.org/W2562343162","https://openalex.org/W2913697856"],"abstract_inverted_index":{"Purpose":[0],"Concentration":[1],"is":[2,49,125,170,188,198,209],"the":[3,40,58,69,80,91,102,131,135,167,175,201,239,242,256],"key":[4],"to":[5,61,66,72,77,83,88,94,99,107,156,263],"safer":[6],"driving.":[7],"Ideally,":[8],"drivers":[9],"should":[10],"focus":[11],"mainly":[12],"on":[13,51,219],"front":[14],"views":[15],"and":[16,28,64,75,86,97,105,112,152,213,228,250,260,270],"side":[17],"mirrors.":[18],"Typical":[19],"distractions":[20],"are":[21],"eating,":[22],"drinking,":[23],"cell":[24],"phone":[25],"use,":[26],"using":[27,204],"searching":[29],"things":[30],"in":[31],"car":[32],"as":[33,35,114,190,222,224],"well":[34,223],"looking":[36],"at":[37,237],"something":[38],"outside":[39],"car.":[41],"In":[42],"this":[43,123],"paper,":[44],"distracted":[45,118],"driving":[46],"detection":[47,146,177,203],"algorithm":[48,208],"targeting":[50],"nine":[52],"scenarios":[53,129,221],"nodding,":[54],"head":[55,59,70,81,92,103,109,185,272],"shaking,":[56],"moving":[57,68,79,90,101],"45\u00b0":[60,71,82,93],"upper":[62,84],"left":[63,74],"back":[65,76,87,98,106],"position,":[67,78,89,100,108],"lower":[73,95,255],"right":[85,96],"upward":[104],"dropping":[110],"down":[111],"blinking":[113],"fundamental":[115],"elements":[116],"for":[117,130,278],"events.":[119],"The":[120,141,182,234],"purpose":[121],"of":[122,138,144,159,162,166,184,230,241],"paper":[124],"preliminary":[126],"study":[127],"these":[128],"ideal":[132],"distraction":[133,145,160,202,240],"detection,":[134],"exact":[136],"type":[137],"distraction.":[139],"Design/methodology/approach":[140],"system":[142,235],"consists":[143],"module":[147],"that":[148,200],"processes":[149],"video":[150,168,231],"stream":[151],"compute":[153],"motion":[154,186,273],"coefficient":[155,165],"reinforce":[157],"identification":[158],"conditions":[161],"drivers.":[163],"Motion":[164],"frames":[169],"computed":[171],"which":[172],"follows":[173],"by":[174],"spike":[176],"via":[178],"statistical":[179],"filtering.":[180],"Findings":[181],"accuracy":[183],"analyzer":[187],"given":[189],"98.6":[191],"percent.":[192],"With":[193],"such":[194],"satisfactory":[195],"result,":[196],"it":[197,253],"concluded":[199],"light":[205,226],"computation":[206],"power":[207],"an":[210],"appropriate":[211],"direction":[212],"further":[214],"work":[215],"could":[216],"be":[217],"devoted":[218],"more":[220],"background":[225],"intensity":[227],"resolution":[229],"frames.":[232],"Originality/value":[233],"aimed":[236],"detecting":[238],"public":[243],"transport":[244],"driver.":[245],"By":[246],"providing":[247],"instant":[248],"response":[249],"timely":[251],"warning,":[252],"can":[254],"road":[257],"traffic":[258],"accidents":[259],"casualties":[261],"due":[262],"poor":[264],"physical":[265],"conditions.":[266],"A":[267],"low":[268],"latency":[269],"lightweight":[271],"detector":[274],"has":[275],"been":[276],"developed":[277],"online":[279],"driver":[280],"awareness":[281],"monitoring.":[282]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}