{"id":"https://openalex.org/W4388489832","doi":"https://doi.org/10.1080/10447318.2023.2276520","title":"Head Mounted IMU-Based Driver\u2019s Gaze Zone Estimation Using Machine Learning Algorithm","display_name":"Head Mounted IMU-Based Driver\u2019s Gaze Zone Estimation Using Machine Learning Algorithm","publication_year":2023,"publication_date":"2023-11-08","ids":{"openalex":"https://openalex.org/W4388489832","doi":"https://doi.org/10.1080/10447318.2023.2276520"},"language":"en","primary_location":{"id":"doi:10.1080/10447318.2023.2276520","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10447318.2023.2276520","pdf_url":null,"source":{"id":"https://openalex.org/S165559636","display_name":"International Journal of Human-Computer Interaction","issn_l":"1044-7318","issn":["1044-7318","1532-7590"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Human\u2013Computer Interaction","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/A5076554280","display_name":"Mungyeong Choe","orcid":"https://orcid.org/0000-0003-4964-1987"},"institutions":[{"id":"https://openalex.org/I146429904","display_name":"Incheon National University","ror":"https://ror.org/02xf7p935","country_code":"KR","type":"education","lineage":["https://openalex.org/I146429904"]},{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Mungyeong Choe","raw_affiliation_strings":["Department of Industrial &amp; Management Engineering, Incheon National University, Incheon, South Korea","Department of Industrial &amp; Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA"],"raw_orcid":"https://orcid.org/0000-0003-4964-1987","affiliations":[{"raw_affiliation_string":"Department of Industrial &amp; Management Engineering, Incheon National University, Incheon, South Korea","institution_ids":["https://openalex.org/I146429904"]},{"raw_affiliation_string":"Department of Industrial &amp; Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031192531","display_name":"Yeongcheol Choi","orcid":"https://orcid.org/0000-0003-2525-873X"},"institutions":[{"id":"https://openalex.org/I188068037","display_name":"Pohang Iron and Steel (South Korea)","ror":"https://ror.org/00btvqy64","country_code":"KR","type":"company","lineage":["https://openalex.org/I188068037"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeongcheol Choi","raw_affiliation_strings":["Artificial Intelligence Technology Group, POSCO DX Co, Seongnam, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-2525-873X","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Technology Group, POSCO DX Co, Seongnam, South Korea","institution_ids":["https://openalex.org/I188068037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618956","display_name":"Jaehyun Park","orcid":"https://orcid.org/0000-0002-5264-6941"},"institutions":[{"id":"https://openalex.org/I146429904","display_name":"Incheon National University","ror":"https://ror.org/02xf7p935","country_code":"KR","type":"education","lineage":["https://openalex.org/I146429904"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaehyun Park","raw_affiliation_strings":["Department of Industrial &amp; Management Engineering, Incheon National University, Incheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5264-6941","affiliations":[{"raw_affiliation_string":"Department of Industrial &amp; Management Engineering, Incheon National University, Incheon, South Korea","institution_ids":["https://openalex.org/I146429904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101937198","display_name":"Jungyoon Kim","orcid":"https://orcid.org/0000-0001-5013-446X"},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jungyoon Kim","raw_affiliation_strings":["Department of Computer Science, Kent State University, Kent, Ohio, USA"],"raw_orcid":"https://orcid.org/0000-0001-5013-446X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kent State University, Kent, Ohio, USA","institution_ids":["https://openalex.org/I149910238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100618956"],"corresponding_institution_ids":["https://openalex.org/I146429904"],"apc_list":null,"apc_paid":null,"fwci":0.328,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60421724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"40","issue":"23","first_page":"7970","last_page":"7981"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9998000264167786,"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":0.9847999811172485,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.979200005531311,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.7934398651123047},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.7539025545120239},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.7409729957580566},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.707148015499115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6914843320846558},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6663631796836853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6336880922317505},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5413302183151245},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.4816133379936218},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47917333245277405},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4112667441368103},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32168346643447876},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20830973982810974}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.7934398651123047},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.7539025545120239},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.7409729957580566},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.707148015499115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6914843320846558},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6663631796836853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6336880922317505},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5413302183151245},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.4816133379936218},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47917333245277405},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4112667441368103},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32168346643447876},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20830973982810974},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10447318.2023.2276520","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10447318.2023.2276520","pdf_url":null,"source":{"id":"https://openalex.org/S165559636","display_name":"International Journal of Human-Computer Interaction","issn_l":"1044-7318","issn":["1044-7318","1532-7590"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Human\u2013Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1964232317","https://openalex.org/W1966509872","https://openalex.org/W1993666393","https://openalex.org/W2019177772","https://openalex.org/W2051184258","https://openalex.org/W2064675550","https://openalex.org/W2083223498","https://openalex.org/W2105334447","https://openalex.org/W2116208238","https://openalex.org/W2148143831","https://openalex.org/W2167020116","https://openalex.org/W2172220459","https://openalex.org/W2328306811","https://openalex.org/W2551239383","https://openalex.org/W2563820573","https://openalex.org/W2571810020","https://openalex.org/W2579937995","https://openalex.org/W2753401784","https://openalex.org/W2763643412","https://openalex.org/W2774090517","https://openalex.org/W2805729203","https://openalex.org/W2962835718","https://openalex.org/W2963513865","https://openalex.org/W2963525576","https://openalex.org/W2965235999","https://openalex.org/W2973218919","https://openalex.org/W2991158485","https://openalex.org/W2994834685","https://openalex.org/W3100777112","https://openalex.org/W3119653163","https://openalex.org/W3126264610","https://openalex.org/W3207447090","https://openalex.org/W3214466607","https://openalex.org/W4312195611","https://openalex.org/W4319049461","https://openalex.org/W4383220377"],"related_works":["https://openalex.org/W1973973903","https://openalex.org/W4287084017","https://openalex.org/W3195533899","https://openalex.org/W3179745820","https://openalex.org/W3208523813","https://openalex.org/W2594666386","https://openalex.org/W2545638156","https://openalex.org/W2359095091","https://openalex.org/W2000754062","https://openalex.org/W4238176532"],"abstract_inverted_index":{"Predicting":[0],"the":[1,21,45,49,60,76,89,111,141],"driver's":[2,22,142],"gaze":[3,23,90],"could":[4,92,136],"be":[5,93,137],"important":[6],"information":[7],"in":[8,59],"preventing":[9],"accidents":[10],"while":[11,53],"driving.":[12,54],"In":[13],"this":[14],"study,":[15],"machine":[16],"learning":[17],"models":[18],"for":[19],"estimating":[20],"distraction":[24],"through":[25],"head":[26,112],"movement":[27,113],"data":[28,63],"were":[29],"created":[30],"and":[31,36,43,70,75,100,106],"their":[32],"performance":[33,124],"was":[34,62,79,86],"compared":[35],"evaluated.":[37],"Participants":[38],"wore":[39],"glasses-type":[40],"eye":[41],"trackers":[42],"performed":[44],"task":[46],"of":[47,102],"selecting":[48],"touch":[50],"screen":[51],"buttons":[52],"The":[55,116],"input":[56],"variable":[57,78],"used":[58,138],"model":[61,117],"obtained":[64],"from":[65],"a":[66,71,83,96],"3-axis":[67,72],"accelerometer":[68],"sensor":[69],"gyroscope":[73],"sensor,":[74],"target":[77],"eye-gaze":[80],"data.":[81,115],"As":[82],"result,":[84],"it":[85],"confirmed":[87],"that":[88,135],"area":[91],"estimated":[94],"with":[95,110,144],"precision,":[97],"sensitivity,":[98],"specificity,":[99],"F1-score":[101],"72.1%,":[103],"72.5%,":[104],"66.0%,":[105],"69.3%,":[107],"respectively,":[108],"only":[109],"sensing":[114],"trained":[118],"using":[119,126],"time-series":[120],"datasets":[121],"had":[122],"higher":[123],"than":[125],"non-time":[127],"series":[128],"datasets.":[129],"This":[130],"study":[131],"presented":[132],"one":[133],"alternative":[134],"to":[139],"determine":[140],"status":[143],"an":[145],"inexpensive":[146],"sensor.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
