EEG-Based Control of Reaching To VisualTargets

Abstract

Research on non-invasive brain computer interfaces (BCI) has shown that electroencephalograhy (EEG) on-line signal extraction can be used for communica- tion (spelling), computer game playing and for sensor- assisted navigation. In this study we attempt to quan- tify reaching movement performance using EEG and gaze tracking signals. To achieve this the Berlin Brain Computer Interface has been linked to an eye and head tracker. The task studied was typing at a virtual keyboard, with a data information transfer rate of the resulting BCI of 70 bits/s, demonstrating that non- invasive BCI designs can provide useful means to command robotic devices for Brain Machine Interface (BMI) reaching tasks.