Driver fatigue detection using mouth and yawning analysis.

Author(s)
Saradadevi, M. & Bajaj, P.
Year
Abstract

Driver fatigue is an important factor in large number of accidents. There has been much work done in driver fatigue detection. This paper presents driver fatigue detection based on tracking the mouth and to study on monitoring and recognizing yawning. The authors proposed a method to locate and track driver's mouth using cascade of classifiers proposed by Viola-Jones for faces. SVM is used to train the mouth and yawning images. During the fatigue detection mouth is detected from face images using cascade of classifiers. Then, SVM is used to classify the mouth and to detect yawning then alert Fatigue. (Author/publisher)

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Publication

Library number
20210534 ST [electronic version only]
Source

International Journal of Computer Science and Network Security IJCSNS, Vol. 8 (2008), No. 6 (June), p. 183-188, 19 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.