@inproceedings{98cf57e596f141139379b583b7c6b38b,
title = "Eye fatigue algorithm for driver drowsiness detection system",
abstract = "This paper proposed an algorithm that used the combination of the Viola-Jones technique, Circular Hough Transform (CHT), Histogram Equalization, Canny Edge detection and percentage of eyelid closure (PERCLOS) technique to accurately detect the eyes condition of the driver. This proposed algorithm achieved a 92.5% accuracy of eyes open images detection and 86.65% accuracy of eyes close images detection with 50 samples each. For the real-time video processing, it achieved 90% accuracy during daytime and 86% accuracy during night-time for the eyes drowsiness detection.",
keywords = "Circular Hough Transform, Drowsiness detection, Eyes detection, Eyes state analysis, Image processing, Viola-Jones",
author = "Lim, {Teik Jin} and Leong, {Hung Yang} and Pang, {Jia Yew} and {Mohamed Juhari}, {Mohd Rizon}",
year = "2021",
doi = "10.1007/978-3-030-51859-2_58",
language = "English",
isbn = "9783030518585",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "638--652",
editor = "Chen, {Joy Iong-Zong} and Tavares, {Jo{\~a}o Manuel R.S.} and Subarna Shakya and Iliyasu, {Abdullah M.}",
booktitle = "Image Processing and Capsule Networks. ICIPCN 2020",
note = "International Conference on Image Processing and Capsule Networks 2020, ICIPCN 2020 ; Conference date: 06-05-2020 Through 07-05-2020",
}