HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Drowsy Driver Detection System Using Eye Blink Patterns

Abstract : This paper presents an automatic drowsy driver monitoring and accident prevention system that is based on monitoring the changes in the eye blink duration. Our proposed method detects visual changes in eye locations using the proposed horizontal symmetry feature of the eyes. Our new method detects eye blinks via a standard webcam in real-time at 110fps for a 320×240 resolution. Experimental results in the JZU [3] eye-blink database showed that the proposed system detects eye blinks with a 94% accuracy with a 1% false positive rate.
Complete list of metadata

Cited literature [23 references]  Display  Hide  Download

Contributor : Ioan Marius Bilasco Connect in order to contact the contributor
Submitted on : Friday, September 28, 2018 - 2:50:05 PM
Last modification on : Wednesday, May 11, 2022 - 12:34:02 PM
Long-term archiving on: : Monday, December 31, 2018 - 10:33:56 AM


drowsy driver detection system...
Files produced by the author(s)



Taner Danisman, Ioan Marius Bilasco, Chaabane Djeraba, Nacim Ihaddadene. Drowsy Driver Detection System Using Eye Blink Patterns. International Conference on Machine and Web Intelligence (ICMWI 2010), Oct 2010, Alger, Algeria. pp.230-233, ⟨10.1109/ICMWI.2010.5648121⟩. ⟨hal-00812315⟩



Record views


Files downloads