23 citations · 50 across the 7 of their papers we have counts for
7 papers · 1 filter
The Riemannian Means Field Classifier for EEG-Based BCI Data
Anton Andreev, Grégoire Cattan, Marco Congedo
A substantial amount of research has demonstrated the robustness and accuracy of the Riemannian minimum distance to mean (MDM) classifier for all kinds of EEG-based brain--computer…
First steps towards quantum machine learning applied to the classification of event-related potentials
Grégoire Cattan, Alexandre Quemy, Anton Andreev
Low information transfer rate is a major bottleneck for brain-computer interfaces based on non-invasive electroencephalography (EEG) for clinical applications. This led to the deve…
A comparison of mobile VR display running on an ordinary smartphone with standard PC display for P300-BCI stimulus presentation
Grégoire Cattan, Anton Andreev, Cesar Mendoza +1
A brain-computer interface (BCI) based on electroencephalography (EEG) is a promising technology for enhancing virtual reality (VR) applications-in particular, for gaming. We focus…
Engineering study on the use of Head-Mounted display for Brain- Computer Interface
Anton Andreev, Grégoire Cattan, M Congedo
In this article, we explore the availability of head-mounted display (HMD) devices which can be coupled in a seamless way with P300-based brain-computer interfaces (BCI) using elec…
Building Brain Invaders: EEG data of an experimental validation
Gijsbrecht Van Veen, Alexandre Barachant, Anton Andreev +3
We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.2649006 in mat and csv formats. This dataset contains e…
Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset
Erwan Vaineau, Alexandre Barachant, Anton Andreev +3
We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.1494163 in mat and csv formats. This dataset contains e…