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Classification of covariance matrices using a Riemannian-based kernel for BCI applications.

, , , and . Neurocomputing, (2013)

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Identification of spatial and temporal features of EEG., and . Neurocomputing, (2012)Time Window Selection for Improving Error-related Potential Detection., , and . IJCCI, page 715-720. SciTePress, (2012)Approximate joint diagonalization within the Riemannian geometry framework., , , and . EUSIPCO, page 210-214. IEEE, (2016)Unsupervised Cross-Subject BCI Learning and Classification using Riemannian Geometry., , , and . ESANN, (2016)Building Brain Invaders: EEG data of an experimental validation., , , , , and . CoRR, (2019)A New Generation of Brain-Computer Interface Based on Riemannian Geometry., , and . CoRR, (2013)Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset., , , , , and . CoRR, (2019)OpenViBE: An Open-Source Software Platform to Design, Test, and Use Brain-Computer Interfaces in Real and Virtual Environments., , , , , , , and . Presence Teleoperators Virtual Environ., 19 (1): 35-53 (2010)Classification of covariance matrices using a Riemannian-based kernel for BCI applications., , , and . Neurocomputing, (2013)A Comparison of Mobile VR Display Running on an Ordinary Smartphone With Standard PC Display for P300-BCI Stimulus Presentation., , , and . IEEE Trans. Games, 13 (1): 68-77 (2021)