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Computational Intelligence and Neuroscience
Volume 2007, Article ID 82827, 7 pages
Research Article

Novel Features for Brain-Computer Interfaces

1Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
2Malaysia University of Science and Technology, Unit GL33, Block C, Kelana Square, 17 Jalan SS7/26, Petaling Jaya Selangor 47301, Malaysia

Received 29 December 2006; Revised 2 May 2007; Accepted 21 June 2007

Academic Editor: Fabio Babiloni

Copyright © 2007 W. L. Woon and A. Cichocki. 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.


While conventional approaches of BCI feature extraction are based on the power spectrum, we have tried using nonlinear features for classifying BCI data. In this paper, we report our test results and findings, which indicate that the proposed method is a potentially useful addition to current feature extraction techniques.