Fatigue Alert System

Kirbana Jai Raman; Afizan Azman; Siti Zainab Ibrahim; Sumendra Yogarayan; Mohd Fikri Azli Abdullah; Siti Fatimah Abdul Razak; Anang Hudaya Muhamad Amin and Kalaiarasi Sonai Muthu

doi:10.17485/ijst/2018/v11i20/123348

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2018/v11i20/123348

Year: 2018, Volume: 11, Issue: 20, Pages: 1-7

Original Article

Fatigue Alert System

Kirbana Jai Raman^*, Afizan Azman, Siti Zainab Ibrahim, Sumendra Yogarayan, Mohd Fikri Azli Abdullah, Siti Fatimah Abdul Razak, Anang Hudaya Muhamad Amin and Kalaiarasi Sonai Muthu

Faculty of Information Science and Technology, Multimedia University, Malacca, Malaysia; [email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected]

^*Author for correspondence
Kirbana Jai Raman,
Faculty of Information Science and Technology, Multimedia University, Malacca, Malaysia; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Accidents on road are very common these days with most of it are caused by driver behavioral pattern. Driver fatigue can also be categorized under driver behavioral as it comes from the driver itself. The idea behind the paper is to discuss the facial recognition and features used to detect and alert drivers in real time if fatigue is detected. Face monitoring technique is used to identify state of the driver. With the existence of such alert system, it would be helpful to reduce accidents on road.

Keywords: Alert, Eye Closure, Facial Recognition, Fatigue, Yawning