Thibaut Monseigne

Channel Selection over Riemannian Manifold with Non-Stationarity Consideration for Brain-Computer Interface Applications

In this paper, we propose and compare multiple criteria for selecting ElectroEncephaloGraphic (EEG) channels over the Riemannian manifold, for EEG classification in Brain- Computer Interfaces (BCI). These criteria aim to promote EEG covariance matrix classifiers to generalize well by considering EEG…