PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Predicting BCI Performance to Study BCI Illiteracy
Thorsten Dickhaus, Claudia Sannelli, Klaus-Robert Müller, Gabriel Curio and Benjamin Blankertz
BMC Neuroscience Volume 10, Number Suppl 1, P84, 2009. ISSN 1471-2202

Abstract

Brain-Computer Interfaces (BCIs) allow a user to control a computer application by brain activity as acquired by EEG, for example. One of the biggest challenges in BCI research is to understand and antagonize the problem of "BCI Illiteracy:" BCI control does not work for a non-negligible portion of subjects (estimated 15% to 30%). To shed light on this problem, we developed a neurophysiological predictor of BCI performance, which can be determined from a two minutes recording of a "relax with eyes open" condition using three Laplacian channels.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:6800
Deposited By:Thorsten Dickhaus
Deposited On:08 March 2010