FOY , Nathanael

Ce chapitre illustre, au travers d'une application de clavier virtuel P300, plusieurs notions fondamentales des BCI : prétraitement, extraction de caractéristiques, classification et apprentissage.Sans revenir sur les détails de ces notions, puisqu'elles ont déjà été abordées dans la première partie de cet ouvrage, ce chapitre propose au...

This work provides a theoretical analysis framework for features that belong to the high dimensional Riemannian manifold of symmetric positive definite matrices. In non-invasive EEG-based Brain Computer Interfaces, such as the P300 speller, these are sample covariance matrices of the epoched EEG signal that are classified into two classes. An...

This chapter illustrates by means of a P300 virtual keyboard application, several fundamental notions of brain–computer interfaces (BCIs): preprocessing, extraction of characteristics, classification and training. It proposes to the reader to appropriate them with a specific application. The P300 virtual keyboard application flashes the symbols...