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Communication Dans Un Congrès Année : 2009

Sensor selection for P300 speller brain computer interface

Résumé

Brain-computer interfaces (BCI) are communication system that use brain activities to control a device. The BCI studied is based on the P300 speller [1]. A new algorithm to select relevant sensors is proposed: it is based on a previous proposed algorithm [2] used to enhance P300 potentials by spatial filters. Data recorded on three subjects were used to evaluate the proposed selection method: it is shown to be efficient and to compare favourably with a reference method [3].
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Dates et versions

hal-00379376 , version 1 (28-04-2009)

Identifiants

  • HAL Id : hal-00379376 , version 1

Citer

Bertrand Rivet, Antoine Souloumiac, Guillaume Gibert, Virginie Attina, Olivier Bertrand. Sensor selection for P300 speller brain computer interface. ESANN 2009 - 17th European Symposium on Artificial Neural Networks, Apr 2009, Bruges, Belgium. ⟨hal-00379376⟩
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