Driver Drowsiness Detection using Face Monitoring and Pressure Measurement

Abu Sayeed; Saad Ahmed Sadi

Abstract

Fatigue driving is the driver, after long periods of continuous driving, experiences mental and physical functional disorder. The international statistics shows that it is one of the major causes of accidents in the world. Detecting the drowsiness of the driver can issue timely warning that could help in preventing many accidents. In this research a system is designed to detect the drowsiness of a driver through face monitoring techniques and pressure measurement. The proposed approach is divided into two steps: detecting driver’s physiological performance and measuring the driver’s state. Physiological performance can be measured through pressure measurement using a force sensitive resistor. The second step is a computer vision method done by image processing. The computer vision method captures images and detects yawn and eye state. The results collected from the two of the above steps are merged with a drowsiness evaluation technique to detect drowsiness. The algorithm is proposed, implemented and tested and the experimental results provide a promising drowsiness indicator to prevent road accidents.Cite this ArticleAbu Sayeed, Saad Ahmed Sadi. Driver Drowsiness Detection using Face Monitoring and Pressure Measurement. Research & Reviews: A Journal of Embedded System & Applications. 2017; 5(3): 12–18p.

Abstract

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