Drowsiness detection based on eye movement, yawn detection and head rotation.

Author(s)
Churiwala, K. Lopes, R. Shah, A. & Shah, N.
Year
Abstract

Research shows that driver fatigue is one of the major reasons of road accidents. In this paper, we discuss our system which can be used to measure the level of alertness of the driver based on some critical physiological parameters. The system will analyze these parameters and accordingly issue an audio warning to the driver in case significant drowsiness is detected. The system is a software prototype of this system in vehicles, where images that are captured will be processed using image processing techniques and accordingly issue warning. The overall goal of the system is to reduce the number of accidents, and therefore improve the worsening road conditions. (Author/publisher)

Publication

Library number
20210194 ST [electronic version only]
Source

International Journal of Applied Information Systems, Vol. 2 (2012), No. 6 (May), p. 46-49, 9 ref.

Our collection

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