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Computational Intelligence and Neuroscience
Volume 2007 (2007), Article ID 94561, 9 pages
http://dx.doi.org/10.1155/2007/94561
Research Article

Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm

Laboratory for Advanced Brain Signal Processing, Brain Science Institute RIKEN, Wako-Shi, Saitama 351-0198, Japan

Received 22 December 2006; Accepted 22 May 2007

Academic Editor: Fabio Babiloni

Copyright © 2007 Pablo Martinez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We propose a new multistage procedure for a real-time brain-machine/computer interface (BCI). The developed system allows a BCI user to navigate a small car (or any other object) on the computer screen in real time, in any of the four directions, and to stop it if necessary. Extensive experiments with five young healthy subjects confirmed the high performance of the proposed online BCI system. The modular structure, high speed, and the optimal frequency band characteristics of the BCI platform are features which allow an extension to a substantially higher number of commands in the near future.