EEG-based Driver Fatigue Detection

Abstract

Fatigue is a gradual process leads to a slower reaction time. Fatigue is the major cause of road accidents around the globe. This paper proposes, implements and tests a system to detect fatigue based on Electroencephalogram (EEG) signal. The system produces fatigue index which is relevant to the level of subject's drowsiness. The input to the system is EEG signal which is measured by inexpensive single electrode neuro-signal acquisition device. The system was tested on locally collected dataset for a car simulation driver in different drowsiness levels. The system was able to detect the fatigue level for all subjects in different levels of tiredness.