99 citations · 263 across the 13 of their papers we have counts for
13 papers
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…
Passive Head-Mounted Display Music-Listening EEG dataset
Grégoire Cattan, Pedro C. Rodrigues, Marco Congedo
We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.2617084 in mat (Mathworks, Natick, USA) and csv formats…
Dataset of an EEG-based BCI experiment in Virtual Reality and on a Personal Computer
Grégoire Cattan, A. Andreev, P. Rodrigues +1
We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.2605204 in mat (Mathworks, Natick, USA) and csv formats…
Analysis of tagging latency when comparing event-related potentials
Grégoire Cattan, Anton Andreev, Bastien Maureille +1
Event-related potentials (ERPs) are very small voltage produced by the brain in response to external stimulation. In order to detect and evaluate an ERP in an ongoing electroenceph…
Diagonality Measures of Hermitian Positive-Definite Matrices with Application to the Approximate Joint Diagonalization Problem
Khaled Alyani, Marco Congedo, Maher Moakher
In this paper, we introduce properly-invariant diagonality measures of Hermitian positive-definite matrices. These diagonality measures are defined as distances or divergences betw…
Approximate Joint Diagonalization and Geometric Mean of Symmetric Positive Definite Matrices
Marco Congedo, Bijan Afsari, Alexandre Barachant +1
We explore the connection between two problems that have arisen independently in the signal processing and related fields: the estimation of the geometric mean of a set of symmetri…
A Plug&Play P300 BCI Using Information Geometry
Alexandre Barachant, Marco Congedo
This paper presents a new classification methods for Event Related Potentials (ERP) based on an Information geometry framework. Through a new estimation of covariance matrices, thi…
Mixed-norm Regularization for Brain Decoding
Rémi Flamary, Nisrine Jrad, Ronald Phlypo +2
This work investigates the use of mixed-norm regularization for sensor selection in Event-Related Potential (ERP) based Brain-Computer Interfaces (BCI). The classification problem…
A New Generation of Brain-Computer Interface Based on Riemannian Geometry
Marco Congedo, Alexandre Barachant, Anton Andreev
Based on the cumulated experience over the past 25 years in the field of Brain-Computer Interface (BCI) we can now envision a new generation of BCI. Such BCIs will not require trai…
Least-Squares Joint Diagonalization of a matrix set by a congruence transformation
Marco Congedo, Dinh-Tuan Pham
The approximate joint diagonalization (AJD) is an important analytic tool at the base of numerous independent component analysis (ICA) and other blind source separation (BSS) metho…