Multiclass brain computer interface based on visual attention.

Abstract

Recent public demonstrations showed that a system based on imagination does not always work (1). On the other side predicting limb movement based on scalp activity has proved to be hazardous (2) and thus other alternatives are needed. This paper describes the asynchronous Geneva-BCI based on EEG and visual attention to external stimulus able to send commands every 0.5 (or 0.25) seconds with very high (98.88%) correct classification rates and optimal (178 bits/min) theoretical bit rate. This high performance allows for the distant real time control of robots using four commands.