Abstract
Train drivers are strongly urged to avoid making human errors of judgment. To avoid human error in train operation, driving support systems should be developed in consideration of human behavior. In developing such systems it is important to understand the relation between the train operation and the brain activity of driver. The brain activity during the driving operation with a train simulator is measured by a functional near-infrared spectroscopy (fNIRS). To compare the changes in the brain activity with the driving operation, we developed an analysis method that can extract the brain activity related to task by using a wavelet-based multi-resolution analysis. The results show that the brain function due to a train driving can be evaluated with the proposed method.
