Computational Intelligence and Neuroscience 
Volume 2007 (2007), Article ID 82827, 7 pages
doi:10.1155/2007/82827
Research Article

Novel Features for Brain-Computer Interfaces

W. L. Woon1,2 and A. Cichocki1

 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

Recommended by Fabio Babiloni

Abstract

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.