11 citations · 13 across the 3 of their papers we have counts for
3 papers
eess.SP2024★ 11 cited
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
Sylvain Chevallier, Igor Carrara, Bruno Aristimunha +6
Objective. This study conduct an extensive Brain-computer interfaces (BCI) reproducibility analysis on open electroencephalography datasets, aiming to assess existing solutions and…
cs.HC2023
Pseudo-online framework for BCI evaluation: A MOABB perspective
Igor Carrara, Théodore Papadopoulo
Objective: BCI (Brain-Computer Interface) technology operates in three modes: online, offline, and pseudo-online. In the online mode, real-time EEG data is constantly analyzed. In…
cs.HC2023★ 2 cited
Classification of BCI-EEG based on augmented covariance matrix
Igor Carrara, Théodore Papadopoulo
Objective: Electroencephalography signals are recorded as a multidimensional dataset. We propose a new framework based on the augmented covariance extracted from an autoregressive…