Enhancing Driver Safety: Real-Time Eye Detection for Drowsiness Prevention Driver Assistance Systems

Author:

Zain Zainah Md.1ORCID,Roseli Mohd Shahril1,Abdullah Nurul Athirah1

Affiliation:

1. Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan 26600, Pahang, Malaysia

Publisher

MDPI

Reference12 articles.

1. Advanced driver assistance systems;Tigadi;Int. J. Eng. Res. Gen. Sci.,2016

2. World Health Organization (2017). Global Status Report on Road Safety 2017, WHO Press.

3. Vision-based solutions for driver assistance;Nowosielski;J. Theor. Appl. Comput. Sci.,2014

4. Charniya, N.N., and Nair, V.R. (2017, January 23–24). Drunk driving and drowsiness detection. Proceedings of the 2017 International Conference on Intelligent Computing and Control (I2C2), Coimbatore, India.

5. Areal time improved driver fatigue monitoring system;Krishnasree;WSEAS Trans. Signal Process.,2014

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