{"id":"https://openalex.org/W2982524020","doi":"https://doi.org/10.1109/bcd.2019.8885069","title":"Detection of Driver\u2019s Eye Fixation on a Moving Target by Using Line Fitting","display_name":"Detection of Driver\u2019s Eye Fixation on a Moving Target by Using Line Fitting","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2982524020","doi":"https://doi.org/10.1109/bcd.2019.8885069","mag":"2982524020"},"language":"en","primary_location":{"id":"doi:10.1109/bcd.2019.8885069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bcd.2019.8885069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data, Cloud Computing, Data Science &amp; Engineering (BCD)","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/A5061039394","display_name":"Teruhisa Hochin","orcid":"https://orcid.org/0000-0001-9067-9237"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Teruhisa Hochin","raw_affiliation_strings":["Faculty of Information and Human Sciences, Kytoto Institute of Technology, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Information and Human Sciences, Kytoto Institute of Technology, Kyoto, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050637900","display_name":"Yumiko Shinohara","orcid":null},"institutions":[{"id":"https://openalex.org/I27429435","display_name":"Kyoto Institute of Technology","ror":"https://ror.org/00965ax52","country_code":"JP","type":"education","lineage":["https://openalex.org/I27429435"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yumiko Shinohara","raw_affiliation_strings":["Graduate School of Information Science, Kytoto Institute of Technology, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Kytoto Institute of Technology, Kyoto, Japan","institution_ids":["https://openalex.org/I27429435"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042905871","display_name":"Yukiko Nishizaki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yukiko Nishizaki","raw_affiliation_strings":["Faculty of Information and Human Sciences, Kytoto Institute of Technology, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Information and Human Sciences, Kytoto Institute of Technology, Kyoto, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061039394"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17649827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"94","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9739000201225281,"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"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9739000201225281,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9703999757766724,"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/T11904","display_name":"Spatial Cognition and Navigation","score":0.9147999882698059,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8227145671844482},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.8117239475250244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7301981449127197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6869103312492371},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.652564287185669},{"id":"https://openalex.org/keywords/fixation","display_name":"Fixation (population genetics)","score":0.6262351274490356},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5695033669471741},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5598621368408203},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4990851879119873},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4618358612060547},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.42802348732948303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23422613739967346},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.14587607979774475},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.086191326379776},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06062188744544983}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8227145671844482},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.8117239475250244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7301981449127197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869103312492371},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.652564287185669},{"id":"https://openalex.org/C146249460","wikidata":"https://www.wikidata.org/wiki/Q2914991","display_name":"Fixation (population genetics)","level":3,"score":0.6262351274490356},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5695033669471741},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5598621368408203},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4990851879119873},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4618358612060547},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.42802348732948303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23422613739967346},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.14587607979774475},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.086191326379776},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06062188744544983},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bcd.2019.8885069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bcd.2019.8885069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data, Cloud Computing, Data Science &amp; Engineering (BCD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W33363299","https://openalex.org/W1965533503","https://openalex.org/W1989068179","https://openalex.org/W1989479670","https://openalex.org/W2016711711","https://openalex.org/W2023159994","https://openalex.org/W2080941050","https://openalex.org/W2086808559","https://openalex.org/W2096304920","https://openalex.org/W2125696286","https://openalex.org/W2140714224","https://openalex.org/W2708407068","https://openalex.org/W2756801382","https://openalex.org/W2772662407"],"related_works":["https://openalex.org/W1880689012","https://openalex.org/W3014378845","https://openalex.org/W4240909707","https://openalex.org/W2059546927","https://openalex.org/W3207760378","https://openalex.org/W4386072035","https://openalex.org/W2161294397","https://openalex.org/W2012644758","https://openalex.org/W3207933171","https://openalex.org/W2965594636"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,24,27,58,63],"method":[4,48,91],"of":[5,9,35,57,75,85,88,108],"obtaining":[6],"the":[7,14,20,32,36,42,50,54,67,73,80,86,89,106,109],"sets":[8,74],"gaze":[10,55,76],"points":[11,56,77],"looking":[12],"at":[13,66],"same":[15,68,81],"object":[16,40,69],"or":[17,70],"portion":[18,71],"in":[19,96,102],"situation,":[21],"while":[22],"driving":[23,99],"vehicle":[25,37,43],"through":[26],"straight":[28],"road,":[29],"and":[30,38],"that":[31,62],"relative":[33],"speed":[34],"an":[39],"outside":[41],"is":[44,100],"constant.":[45],"The":[46],"proposed":[47,90,110],"uses":[49],"lines":[51],"fitted":[52],"to":[53,92,104],"driver.":[59],"It":[60],"judges":[61],"driver":[64],"looks":[65],"when":[72],"are":[78],"on":[79],"line.":[82],"An":[83],"example":[84],"application":[87],"eye":[93],"tracking":[94],"data":[95],"simulated":[97],"autonomous":[98],"shown":[101],"order":[103],"demonstrate":[105],"validity":[107],"method.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
