Measuring The Fatigue of Persons Based on EOG Signal Processing Mmethods

Abstract

Driver fatigue is one of the major causes of a road accidents. Various driver fatigue detection systems have been designed to detect and warn the driver of impending fatigue. Most available prototypes and ongoing research have focused on the video-based eye-tracking system, which demands high computing power due to real-time video processing. In our research, the use of electrooculography (EOG) as an alternative to video-based systems in detecting eye activities caused by fatigue is evaluated. The cornea retinal potential (CRP) is the source of the EOG signals, which are being generated by the movement of the eyeballs within the conductive environment of the skull. Electrooculogram signals are generated from neurological conditions actions and EOG is generally used to capture these signals. EOG is an easy and low-cost method of recording eye movements. This paper proposed a fatigue detection mechanism which is based on EOG recorder with (Ag- AgC1) electrodes. Five subjects (2M, 3F) were participated in this study. Six features were presented to evaluate the suggested algorithm. The presented approach has managed to provide 89.2% to 96.5% effective blink detection.