Brain Computer Interface for Real-Time Driver Drowsiness Detection

Abstract

Drowsiness or fatigue is one of the causes of road accidents. There are many techniques in detecting drowsiness, and one of them is by detecting brainwave. Brainwave is the electrical signals which are generated by brain activity called Electroencephalography (EEG). The raw EEG signal is categorized into four main signal types depending upon frequency ranges from 0.5Hz to 30Hz. Detecting human drowsiness while driving can help reducing road accidents. In this paper, we propose the system which detects the driver’s drowsiness in real-time using the non-invasive technique. By setting up the prototype of the system using the EPOC+ EMOTIV headset to collect the human’s brainwaves, then monitor and analyze brainwaves to recognize the drowsiness state. The results can be modified for real applications.