BCI controller based on imagery activity using shortest path algorithm

Assistive robotics will help the physically disabled persons in many ways. They attempt to restore human abilities that have been reduced or lost by disease, accident, or old age. In this paper we described about how the P300 based Brain Computer Interface (BCI) system controller will work and employed to improve the conventional controlling methods by interpreting the normal BCI system with path planning technique like Dijkstra's algorithm for an autonomous robot. P300 data collected from a healthy subject based on specified imagery brain activity is applied as the input to the proposed controller by adopting those robot features to the wheel chair by using National instruments LabVIEW and its hardware.