{"id":"https://openalex.org/W2119241320","doi":"https://doi.org/10.1109/itsc.2009.5309841","title":"Yawning detection for monitoring driver fatigue based on two cameras","display_name":"Yawning detection for monitoring driver fatigue based on two cameras","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2119241320","doi":"https://doi.org/10.1109/itsc.2009.5309841","mag":"2119241320"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2009.5309841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2009.5309841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","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/A5100443350","display_name":"Lingling Li","orcid":"https://orcid.org/0000-0002-6130-2518"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingling Li","raw_affiliation_strings":["Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China","Electronic Information & Control, Engineering, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Electronic Information & Control, Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068961417","display_name":"Yangzhou Chen","orcid":"https://orcid.org/0000-0003-1151-1765"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangzhou Chen","raw_affiliation_strings":["Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China","Electronic Information & Control, Engineering, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Electronic Information & Control, Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073915674","display_name":"Zhenlong Li","orcid":"https://orcid.org/0000-0002-8938-5466"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenlong Li","raw_affiliation_strings":["Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China","Electronic Information & Control, Engineering, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Electronic Information & Control, Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100443350"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.5599,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.74646301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.9825000166893005,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9545999765396118,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7301837205886841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6984023451805115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6880018711090088},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5129315853118896},{"id":"https://openalex.org/keywords/video-camera","display_name":"Video camera","score":0.483690083026886},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46534571051597595},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.4384930729866028},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4339948296546936},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.3072654604911804},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.16503530740737915}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7301837205886841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6984023451805115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6880018711090088},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5129315853118896},{"id":"https://openalex.org/C2778852477","wikidata":"https://www.wikidata.org/wiki/Q313614","display_name":"Video camera","level":2,"score":0.483690083026886},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46534571051597595},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.4384930729866028},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4339948296546936},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.3072654604911804},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.16503530740737915},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2009.5309841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2009.5309841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W8303726","https://openalex.org/W147739808","https://openalex.org/W2119745452","https://openalex.org/W2119799745","https://openalex.org/W2120409505","https://openalex.org/W2126841226","https://openalex.org/W2134738818","https://openalex.org/W2171221410"],"related_works":["https://openalex.org/W3135341440","https://openalex.org/W3009637957","https://openalex.org/W2431444032","https://openalex.org/W1970925716","https://openalex.org/W4318606103","https://openalex.org/W1560709653","https://openalex.org/W1575861008","https://openalex.org/W2585703169","https://openalex.org/W3019195134","https://openalex.org/W4385451546"],"abstract_inverted_index":{"Driver":[0],"fatigue":[1,52,198],"is":[2,12,33,58,66,68,79,81,160,179,188],"one":[3,182],"of":[4,16,24,56,94,165,176],"the":[5,129,163,173,185],"main":[6],"reasons":[7],"causing":[8],"traffic":[9],"accidents.":[10],"Yawning":[11],"an":[13],"important":[14],"character":[15,21],"driver":[17,197],"fatigue.":[18],"Mouth":[19],"geometric":[20],"represents":[22],"state":[23],"driver.":[25],"So":[26],"driver's":[27,43,51,73,84,102,126,145,177],"mouth":[28,44,85,88,146,166,178],"detection":[29],"and":[30,41,86,100,150,168,184],"information":[31,187],"extraction":[32],"especially":[34],"important.":[35],"This":[36],"paper":[37],"proposes":[38],"to":[39,49,71,82,113,122,132,143,154],"locate":[40,83,101],"track":[42,151],"using":[45,104],"two":[46],"CCD":[47],"cameras":[48],"detect":[50,144],"in":[53,135,147],"real-time.":[54],"One":[55],"them":[57],"with":[59],"cloud":[60],"platform":[61],"control.":[62],"Camera":[63,76,136],"A,":[64],"which":[65,78],"fixed,":[67],"mainly":[69],"used":[70],"supply":[72],"head":[74,127],"position.":[75,156],"B,":[77],"controllable,":[80],"extract":[87],"information.":[89],"First,":[90],"collecting":[91],"monitoring":[92],"video":[93],"camera":[95,114,148,183],"A":[96],"(low":[97],"resolution":[98,117,174],"ratio)":[99,118],"face":[103,133],"fast":[105],"image":[106],"processing":[107],"algorithm.":[108],"Second,":[109],"we":[110,139],"send":[111],"commands":[112],"B":[115,149],"(high":[116],"through":[119],"serial":[120],"port":[121],"make":[123],"it":[124,152],"shoot":[125],"all":[128],"time":[130],"according":[131,153],"position":[134],"A.":[137],"Then":[138],"use":[140],"haar-like":[141],"features":[142],"historical":[155],"At":[157],"last,":[158],"yawning":[159],"detected":[161],"by":[162],"ratio":[164,175],"height":[167],"width.":[169],"Through":[170],"this":[171],"method":[172],"higher":[180],"than":[181],"feature":[186],"more":[189],"accuracy.":[190],"It":[191],"provides":[192],"a":[193],"better":[194],"basis":[195],"for":[196],"judging.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}