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* Corresponding author 1 GIPSA-MPACIF - MPACIF GIPSA-DPC - Département Parole et Cognition 2 LIST - Laboratoire d-Intégration des Systèmes et des Technologies 3 Dynamique Cérébrale et Cognition

Abstract : A brain-computer interface BCI is a communication system that allows to control a computer or any other device thanks to the brain activity.
The BCI described in this paper is based on the P300 speller BCI paradigm introduced by Farwell and Donchin .
An unsupervised algorithm is proposed to enhance P300 evoked potentials by estimating spatial filters; the raw EEG signals are then projected into the estimated signal subspace.
Data recorded on three subjects were used to evaluate the proposed method.
The results, which are presented using a Bayesian linear discriminant analysis classifier , show that the proposed method is efficient and accurate.






Autor: Bertrand Rivet - Antoine Souloumiac - Virginie Attina - Guillaume Gibert -

Fuente: https://hal.archives-ouvertes.fr/



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