Evaluating dynamic changes of driver´s awakening level by grouped α waves

Describes the system of automatically detecting grouped α waves of EEGs using a convolution with special weighting factors such as moving average methods. A drop of human awakening level has a close relation to appearances of grouped α waves. Then using this system, it is possible to detect driver´s low awakening condition and prevent traffic accidents caused by this condition. The system has two important points. The first, because actual data contain various kinds of noise, this system separates grouped α waves from those. The second, the system detects this condition as soon as grouped α waves appear. As the result of analyzing actual EEGs taken during driving a car, we find out the fact that intervals of grouped α waves appearance fluctuate