Computer interface and machine interface that used human information are researched as communications and control capabilities for people with severe disabilities. This research aims to develop the vehicle driving control system and the vehicle driving support interface that used human information in this research. The driver's intention recognition is necessary from human information when the vehicle is driven. Then, the algorithm that recognizes the driving steering intention from the electroencephalogram (EEG) is developed and the performance is evaluated.
