Abstract
This paper presents development of an automatic wheelchair control system via electroencephalogram (EEC) and its experimental results in an office building environment. The developed control system mainly consists of two parts. One is an autonomous control part that achieves automatic wheelchair control based on sensor information. The other is a decision making part that realizes alternative turn direction decision only by EEG signal. The former part is applied to move hallways from a corner to the next corner. At each corner on the floor, the latter part is used to make a turn direction decision. Our experimental results show the possibility of realizing simple tasks in wheelchair control as a brain machine interface application.
