Implementation of a P-300 Brain Computer Interface for the Control of a Wheelchair Mounted Robotic Arm System

Abstract

Three decades ago, Farwell and Donchin [1] developed a computer system based on the method of electroencephalography (EEG) that enables individuals to communicate with their environment without using any neuromuscular function. This P300 BCI speller makes use of the well-studied observation that the brain reacts differently to different stimuli, based on the level of attention given to the stimulus and the specific processing triggered by the stimulus. Since this first report in 1988, several brain-computer interface (BCI) systems have been developed and constantly improved. We have previously demonstrated that the P300-BCI can control a wheelchair-mounted robotic arm (WMRA) system [2].