Be Alert

Driving is one of the daily activities that requires concentration. Many road accidents are said to be caused by a driver's tiredness, drowsiness, inattention, or distraction. An electroencephalogram (EEG) is a recording of electrical activity in the brain made with electrodes inserted on the head. One of the most successful approaches for identifying drowsiness is the classification of electroencephalogram (EEG) signals. This project aims to alert drowsy drivers by utilizing a brain-computer interface comprised of a brain sensor and a mobile interface. Initially, the sensor's recorded brain signals will go through several phases, including feature extraction and classification using learning-based algorithms. The outcome will then be turned into visual and audible feedback via a mobile device.