A Real time EEG based Drowsiness Detection with Brain Computer Interface for Vehicular System

Abstract: Drowsiness is becoming a severe issue in case of traffic accident. Normally, sleepy condition can be identified from several factors like eye blink level, yawning, gripping force on steering wheel and so on, but all these measuring techniques will check only the physical activities of the human. We proposed a real time EEG based drowsiness detection with brain computer interface system for drowsiness detection. The proposed BCI system consists of a wireless physiological signal acquisition module. Here, BCI system is used to collect brain signal and transmit them to the embedded signal processing module wirelessly. The embedded systems supports various peripheral interfaces, is used to real time detection of drowsiness and trigger a warning tone and stop the vehicle to prevent traffic accidents when drowsy state occurs.

Keywords: Drowsiness detection, Electroencephalogram (EEG), Brain Wave Sensor, Brain Computer Interface (BCI).