PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EEG-based control of reaching to visual targets
Florin Popescu, Yakob Badower, Siamac Fazli, Guido Dornhege and Klaus-Robert Müller
Dynamical Principles for neuroscience and intelligent biomimetic devices - Abstracts of the EPFL-LATSIS Symposium 2006 pp. 123-124, 2006.

Abstract

Research on non-invasive brain computer interfaces (BCI) has shown that electroencephalograhy (EEG) on-line signal extraction can be used for communication (spelling), computer game playing and for sensorassisted navigation. In this study we attempt to quantify 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 noninvasive BCI designs can provide useful means to command robotic devices for Brain Machine Interface (BMI) reaching tasks.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:2265
Deposited By:Benjamin Blankertz
Deposited On:11 October 2006