Search Results for author:
Found 5 papers, 4 papers with code
Building Brain Invaders: EEG data of an experimental validation
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.
Human-Computer Interaction Neurons and Cognition
MOABB: Trustworthy algorithm benchmarking for BCIs
By building on recent advances in software for signal analysis implemented in the MNE toolkit, and the unified framework for machine learning offered by the scikit-learn project, we offer a system that can improve BCI algorithm development.
Benchmarking
Human-Computer Interaction
Approximate Joint Diagonalization and Geometric Mean of Symmetric Positive Definite Matrices
In this paper we consider geometric means of co-variance matrices estimated on high-dimensional time-series, assuming that the data is generated according to an instantaneous mixing model, which is very common in signal processing.
A Plug&Play P300 BCI Using Information Geometry
This paper presents a new classification methods for Event Related Potentials (ERP) based on an Information geometry framework.
A New Generation of Brain-Computer Interface Based on Riemannian Geometry
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.
Human-Computer Interaction Differential Geometry
