PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Ensemble of SVMs for improving Brain Computer Interface P300 speller performances
Alain Rakotomamonjy, Vincent Guigue, Gregory Mallet and Victor Alvarado
In: International Conference on Artificial Neural Networks, Warsaw(2005).


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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EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:1389
Deposited By:Alain Rakotomamonjy
Deposited On:28 November 2005