The goal of this project is to design a monitoring system which continuously observes the driver's cognitive state and provides a realtime feedback for the driver regarding his/her mental state and vigilance level, as described in the “Background Information” section. Studies in [5-9] have examined the changes in the theta, alpha, and beta EEG rhythms during different driving tasks and have shown a significant correlation between the changes in spectral power of EEG signals and the driver's workload and fatigue level. Based on these findings, they have been able to correctly detect the onset of drowsiness or fatigue in the drivers with accuracies as high as 90%. However, these researches have not considered the infeasibility of using multisensor EEG caps or headsets in practice. There exist two major limitations, which make such methods intrusive and disruptive for drivers: 1. Most research works have used a large number of electrodes (up to 30) to obtain a full scan of the cortex. In practice, however, it would not be convenient for the driver to wear an EEG cap or headset with such high number of sensors...