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Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances

  • A. Rakotomamonjy
  • V. Guigue
  • G. Mallet
  • V. Alvarado
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3696)

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • A. Rakotomamonjy
    • 1
  • V. Guigue
    • 1
  • G. Mallet
    • 1
  • V. Alvarado
    • 1
  1. 1.P.S.I CNRS FRE 2645 INSA de RouenSaint Etienne du RouvrayFrance

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