Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances

Abstract. This paper addresses the problem of signal responses variability within a single subject in P300 speller Brain-Computer Interfaces. We propose here a method to cope with these variabilities by considering a single learner for each acquisition session. Each learner consists of a channel selection procedure and a classifier. Our algorithm has been benchmarked with the data and the results of the BCI 2003 competition dataset and we clearly show that our approach yields to state-of-the art results.

• Type: Conference
• Year: 2005
• Where: ICANN
• Authors: Alain Rakotomamonjy, Vincent Guigue, G. Mallet, V. Alvarado
• Keywords: ICANN 2005, Signal Responses Variability, Single Learner, Speller Brain-computer Interfaces