A Comparison on Driver Fatigue/Drowsiness Detection Methods

Authors

  • Glace Babu Department of Computer Science and Engineering, Sahrdaya College of Engineering and Technology, Kodakara, Thrissur, Kerala, India
  • Anjali A. R Department of Computer Science and Engineering, Sahrdaya College of Engineering and Technology, Kodakara, Thrissur, Kerala, India
  • Anjalin Joy Department of Computer Science and Engineering, Sahrdaya College of Engineering and Technology, Kodakara, Thrissur, Kerala, India

DOI:

https://doi.org/10.37591/joaea.v4i1.7153

Keywords:

Fatigue detection, image processing, bio signal processing, biometric authentication, behavioral measures, physiological measures

Abstract

The rapid improvements in the automobile industry have made our vehicles more powerful, easier to drive and control, safer, more energy efficient, and more environmentally friendly. The accidents caused today by cars are mainly due to the driver fatigue. Driving for a long period of time causes excessive fatigue and tiredness which makes the driver sleepy or loose awareness. The rapid increase in the number of accidents seems to be increasing day by day. Therefore, a need arises to design a system that detects fatigue/drowsiness and provides proper aid to prevent accidents. In this paper, various driver fatigue/drowsiness detection methods are introduced so far in the literature, and their merits and demerits are studied.

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Published

2023-07-26

Issue

Vol. 4 No. 1 (2017)

Section

Articles

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