Brain computing interface for wheel chair control

Brain-computer interfaces (BCIs) or mind machine interface (MMI) is the direct communication path between brain and external devices. Currently it is difficult for the persons suffering from stokes, amyotrophic lateral sclerosis (ALS) can lead to complete paralysis. Therefore the BCI system may be used to improve the quality of life of such patients. In this paper we overcome this challenge by introducing a BCI system which helps the patient to navigate the wheelchair from one place to another based on motor imagery model to control a brain actuated wheelchair. This allows the user to control the direction for four movements left turn, right turn, forward and backward movement, of the simulation or real wheelchair. Experimental trials are to be conducted to assess the BCI control; both a simulated wheelchair in a virtual environment and a real wheelchair were tested. The system will be realised as a standalone hardware unit and will be tested in the field.