A New Method for Driver Fatigue Detection Based on Eye State

  • Xinzheng XuEmail author
  • Xiaoming Cui
  • Guanying Wang
  • Tongfeng Sun
  • Hongguo Feng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9436)


Fatigue driving is one of main problems threatening driving safety. Therefore, it attracts numerous researchers interests. This paper introduces a new method based on eye feature to research the fatigue driving. Firstly, the face is detected by the model of skin-color in the YCbCr color space, which extracted face region from complex background quickly and accurately. Secondly, eye detection includes extracting eye region and detecting eye two steps. Specifically, the proposed method extracts eye region in face image based on gray-scale projection and then detect eye using Hough transform. Finally, calculate the area of the eye profile after dilation and use it as the parameter to analysis eye state. Put forward the standard to recognize fatigue base on the PERCLOS. The experiment results illustrate the efficiency and accurately of the proposed method, especially, detected face as well as extracted eye region with a high accuracy.


Fatigue detection Face detection Extracting eye region Eye detection 



This work is supported by the Basic Research Program (Natural Science Foundation) of Jiangsu Province of China (No.BK20130209), the Fundamental Research Funds for the Central Universities (No.2013QNA24), the Project Funded by China Postdoctoral Science Foundation (No.2014M560460), the Project Funded by Jiangsu Postdoctoral Science Foundation (No.1302037C).


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Authors and Affiliations

  • Xinzheng Xu
    • 1
    Email author
  • Xiaoming Cui
    • 1
  • Guanying Wang
    • 1
  • Tongfeng Sun
    • 1
  • Hongguo Feng
    • 2
  1. 1.School of Computer Science and TechnologyChina University of Mining and Technology XuzhouJiangsuChina
  2. 2.77626 Troops, Tibet Autonomous RegionTibetChina

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