Detecting drowsiness while driving using wavelet transform

The EEG signal is an indicator of the alertness of an individual. In this study, the EEG of six subjects was recorded while driving a vehicle simulator. After driving, they were asked to observe their driving in the same position without any movement. The recorded data is analyzed using wavelet transform with Daubechies wavelet of order four as the mother wavelet. As the number of laps increases, repeated driving and viewing of the same track leads to the monotony of long distance driving and alpha waves (8-13 Hz) are observed with increasing amplitude. The color-coding makes it easier to observe these waves thus enabling us to give instant feedback.