Real Time Eye Detection Algorithm for PERCLOS Calculation

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dc.contributor.authorAcioglu, Ali
dc.contributor.authorErcelebi, Ergun
dc.date.accessioned2020-02-16T17:35:13Z
dc.date.available2020-02-16T17:35:13Z
dc.date.issued2016
dc.departmentHKÜ, 0- Bölüm Yoken_US
dc.description24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYen_US
dc.descriptionWOS:000391250900387en_US
dc.description.abstractThe traffic accidents is one of the important problems in our lives. The majority of traffic accidents are caused by inattentive or fatigue which is mostly related to drowsiness. An embedded and contactless system should be designed to deal with this problem in real world conditions. PERCLOS, is the most effective method for drowsiness detection, analyzes drowsiness level of the driver by using eye states. In this study, real time eye detection under infrared illumination algorithm is developed for PERCLOS calculation. The performance evaluation of the presented algorithm is realized with an image database.en_US
dc.description.sponsorshipIEEE, Bulent Ecevit Univ, Dept Elect & Elect Engn, Bulent Ecevit Univ, Dept Biomed Engn, Bulent Ecevit Univ, Dept Comp Engnen_US
dc.identifier.endpage1644en_US
dc.identifier.isbn978-1-5090-1679-2
dc.identifier.startpage1641en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11782/1559
dc.identifier.wosWOS:000391250900387
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isotr
dc.publisherIEEEen_US
dc.relation.ispartof2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEye Detectionen_US
dc.subjectPERCLOSen_US
dc.subjectNear Infrared Illuminationen_US
dc.titleReal Time Eye Detection Algorithm for PERCLOS Calculation
dc.typeConference Object

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