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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.7, Issue:11)
Article Information:

Efficient Drowsiness Detection by Facial Features Monitoring

Mohd Shamian Bin Zainal, Ijaz Khan and Hadi Abdullah
Corresponding Author:  Mohd Shamian Bin Zainal 
Submitted: August 15, 2013
Accepted: August 27, 2013
Published: March 20, 2014
Abstract:
With increase in technology fatigue detection systems with more accuracy are overcoming their previous versions. The main focus of these systems is on robustness, accuracy and cost. Based on these factors this study presents a driver fatigue detection system design. This design uses facial features (eyes and mouth) to determine driver’s vigilance. A hybrid of two commonly known techniques Viola Jones and skin color detection is used as detection technique. Lastly some experimental results are given showing the accuracy and robustness of the proposed system.

Key words:  Eyes state detection, fatigue monitoring, mouth detection, pixel color detection, threshold, viola Jones, yawning detection
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Cite this Reference:
Mohd Shamian Bin Zainal, Ijaz Khan and Hadi Abdullah, . Efficient Drowsiness Detection by Facial Features Monitoring. Research Journal of Applied Sciences, Engineering and Technology, (11): 2376-2380.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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