{"id":"https://openalex.org/W2116526606","doi":"https://doi.org/10.1109/icsmc.2009.5346760","title":"Driver alert state and fatigue detection by salient points analysis","display_name":"Driver alert state and fatigue detection by salient points analysis","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2116526606","doi":"https://doi.org/10.1109/icsmc.2009.5346760","mag":"2116526606"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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/A5087606529","display_name":"Javier Jim\u00e9nez-Pinto","orcid":null},"institutions":[{"id":"https://openalex.org/I162148367","display_name":"Pontificia Universidad Cat\u00f3lica de Chile","ror":"https://ror.org/04teye511","country_code":"CL","type":"education","lineage":["https://openalex.org/I162148367"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Javier Jimenez-Pinto","raw_affiliation_strings":["Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile","Department of Electrical Engineering, Pontificia Universidad Cat\u00f3lica de Chile, Santiago, Chile#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile","institution_ids":["https://openalex.org/I162148367"]},{"raw_affiliation_string":"Department of Electrical Engineering, Pontificia Universidad Cat\u00f3lica de Chile, Santiago, Chile#TAB#","institution_ids":["https://openalex.org/I162148367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025698540","display_name":"Miguel Torres\u2010Torriti","orcid":"https://orcid.org/0000-0002-7904-7981"},"institutions":[{"id":"https://openalex.org/I162148367","display_name":"Pontificia Universidad Cat\u00f3lica de Chile","ror":"https://ror.org/04teye511","country_code":"CL","type":"education","lineage":["https://openalex.org/I162148367"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Miguel Torres-Torriti","raw_affiliation_strings":["Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile","Department of Electrical Engineering, Pontificia Universidad Cat\u00f3lica de Chile, Santiago, Chile#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile","institution_ids":["https://openalex.org/I162148367"]},{"raw_affiliation_string":"Department of Electrical Engineering, Pontificia Universidad Cat\u00f3lica de Chile, Santiago, Chile#TAB#","institution_ids":["https://openalex.org/I162148367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087606529"],"corresponding_institution_ids":["https://openalex.org/I162148367"],"apc_list":null,"apc_paid":null,"fwci":0.5972,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.76103327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2","issue":null,"first_page":"455","last_page":"461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9934999942779541,"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":0.9934999942779541,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9902999997138977,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9865000247955322,"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-science","display_name":"Computer science","score":0.7416403889656067},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.657478928565979},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6472995281219482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6065184473991394},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5520647764205933},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5378818511962891},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4689428508281708},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.42420095205307007},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4229954779148102},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.4225623607635498},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3338274359703064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33142250776290894},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1281624734401703},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09271496534347534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7416403889656067},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.657478928565979},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6472995281219482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6065184473991394},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5520647764205933},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5378818511962891},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4689428508281708},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.42420095205307007},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4229954779148102},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.4225623607635498},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3338274359703064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33142250776290894},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1281624734401703},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09271496534347534},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icsmc.2009.5346760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"},{"id":"pmh:oai:americanae.aecid.es:3428434","is_oa":false,"landing_page_url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3428434","pdf_url":null,"source":{"id":"https://openalex.org/S4306400786","display_name":"Americanae (AECID Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:Tesis CONICYT","raw_type":"Tesis Mag\u00edster"},{"id":"pmh:oai:localhost:10533/187440","is_oa":false,"landing_page_url":"http://hdl.handle.net/10533/187440","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:Tesis CONICYT","raw_type":"Tesis Mag\u00edster"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332728","display_name":"National Highway Traffic Safety Administration","ror":"https://ror.org/04gcfqs37"},{"id":"https://openalex.org/F4320334812","display_name":"Comisi\u00f3n Nacional de Investigaci\u00f3n Cient\u00edfica y Tecnol\u00f3gica","ror":"https://ror.org/02ap3w078"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1604111755","https://openalex.org/W1956465185","https://openalex.org/W1978452519","https://openalex.org/W1978522845","https://openalex.org/W2000892645","https://openalex.org/W2041032621","https://openalex.org/W2091984081","https://openalex.org/W2100115174","https://openalex.org/W2101838715","https://openalex.org/W2102298513","https://openalex.org/W2103705970","https://openalex.org/W2105174503","https://openalex.org/W2106580100","https://openalex.org/W2112516260","https://openalex.org/W2119799745","https://openalex.org/W2119868897","https://openalex.org/W2120409505","https://openalex.org/W2127842962","https://openalex.org/W2130103520","https://openalex.org/W2130393673","https://openalex.org/W2131041453","https://openalex.org/W2136197938","https://openalex.org/W2164598857","https://openalex.org/W2512550380","https://openalex.org/W2542495828","https://openalex.org/W2547746985","https://openalex.org/W6640903971","https://openalex.org/W6650493294","https://openalex.org/W6676984602","https://openalex.org/W6677735494","https://openalex.org/W6679388247","https://openalex.org/W6679480184"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W2059356388","https://openalex.org/W325114128"],"abstract_inverted_index":{"Assessing":[0],"a":[1,130],"driver's":[2,53,58,92,158],"state":[3,41,93,159],"of":[4,15,42,50,82,94,98,118,122,140,160],"awarness":[5],"and":[6,21,65,101,149],"fatigue":[7],"is":[8,107],"especially":[9],"important":[10],"to":[11,89,125],"reduce":[12],"the":[13,40,45,52,57,74,87,91,99,113,119,123,141,157],"number":[14],"traffic":[16],"accidents":[17],"often":[18],"involving":[19],"bus":[20],"truck":[22],"drivers,":[23],"who":[24],"must":[25,47,68],"work":[26],"during":[27],"several":[28],"hours":[29],"under":[30],"monotonous":[31],"road":[32],"conditions.":[33],"Two":[34],"main":[35],"challenges":[36],"arise":[37],"in":[38,144,155],"resolving":[39],"alert:":[43],"first,":[44],"system":[46],"be":[48,69],"capable":[49],"detecting":[51],"face":[54,77,88],"location;":[55],"secondly,":[56],"facial":[59],"cues,":[60],"such":[61],"as":[62],"blinking,":[63],"yawning,":[64],"eyebrow":[66],"rising":[67],"recognized.":[70],"Our":[71],"approach":[72],"combines":[73],"well-known":[75],"Viola-Jones":[76],"detector":[78],"with":[79,132],"motion":[80],"analysis":[81,139],"Shi-Tomasi":[83],"salient":[84,142],"features":[85],"within":[86],"determine":[90],"alert.":[95,161],"The":[96],"location":[97],"eyes":[100],"blinking":[102],"are":[103],"cues":[104],"whose":[105],"detection":[106],"also":[108],"important.":[109],"To":[110],"this":[111],"end,":[112],"proposed":[114],"method":[115],"takes":[116],"advantage":[117],"high":[120],"reflectivity":[121],"retina":[124],"near":[126],"infrared":[127],"illumination":[128],"employing":[129],"camera":[131],"an":[133],"850":[134],"nm":[135],"wavelength":[136],"filter.":[137],"Motion":[138],"points,":[143],"particular":[145],"cluster":[146],"mass":[147],"centers":[148],"spatial":[150],"distribution,":[151],"has":[152],"proved":[153],"successful":[154],"determining":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}