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A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection

Kamarul Hawari, Ghazali and Jie, Maa and Rui, Xiao (2012) A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection. In: International Conference on Computational Science and Information Management (ICoCSIM), 3-5 December 2012 , Toba Lake, North Sumatera, Indonesia. pp. 51-54..

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Abstract

Drowsy driving is a major reason, though elusive, triggering traffic crashes according recently investigation result. Image processing is a kind of multi-dimension signal processing. With the development of semiconductor integrated circuit, image processing technology has been used in multifarious fields. In this paper, an approach based image processing, was proposed.to detect driver's status behind wheel. The target of the proposed approach is to avoid vehicle accident causing by driver fatigue and to improve vehicle safety. According the result of experimental work, the proposed approach is effective for increasing safe in drive

Item Type: Conference or Workshop Item (Speech)
Additional Information: Published in Proceedings of the First International Conference on Computational Science and Information Management (ICoCSIM2012) ISBN 978-967-0120-60-7 Vol. 1
Uncontrolled Keywords: Image processing; Face detection; Vehicle safety; Fatigue detection; Eye detection
Subjects: Q Science > Q Science (General)
T Technology > T Technology (General)
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Ms. Ratna Wilis Haryati Mustapa
Date Deposited: 03 Apr 2013 03:26
Last Modified: 21 Feb 2018 05:01
URI: http://umpir.ump.edu.my/id/eprint/3552
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