The System for Driver Fatigue Monitoring Using Decision Tree via Wireless Sensor Network for Intelligent Transport System

Authors

  • Worawut Yimyam
  • Mahasak Ketcham

DOI:

https://doi.org/10.3991/ijoe.v14i10.7507

Keywords:

Fatigue, Region of Interest, Decision tree

Abstract


Researchers propose new algorithm to monitor fatigue of driver by tracking the movements of the eyes. This can classify the opening and closing eyes by using Haar-Like Features and Region of Interest techniques. The fatique can be classified by decision tree classification. The system works in real time and sends message to the mobile phone to alert the driver via Line Application. The results showed that the program can detect face and classify opening and closing eyes accurately at 99.93 percent in which it yielded higher accuracy than other algorithms.

Author Biographies

Worawut Yimyam

Department of Information Technology,  King Mongkut's University of Technology North Bangkok

Mahasak Ketcham

Department of Information Technology,  King Mongkut's University of Technology North Bangkok, Bangkok,

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Published

2018-10-26

How to Cite

Yimyam, W., & Ketcham, M. (2018). The System for Driver Fatigue Monitoring Using Decision Tree via Wireless Sensor Network for Intelligent Transport System. International Journal of Online and Biomedical Engineering (iJOE), 14(10), pp. 21–39. https://doi.org/10.3991/ijoe.v14i10.7507

Issue

Vol. 14 No. 10 (2018)

Section

Papers

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