9 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.HC2019★ 9 cited
Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces
Léa Pillette, Camille Jeunet, Roger N'Kambou +2
Mental Imagery based Brain-Computer Interfaces (MI-BCI) enable their users to control an interface, e.g., a prosthesis, by performing mental imagery tasks only, such as imagining a…
cs.HC2019★ 8 cited
Would Motor-Imagery based BCI user training benefit from more women experimenters?
Aline Roc, Léa Pillette, B. N'Kaoua +1
Mental Imagery based Brain-Computer Interfaces (MI-BCI) are a mean to control digital technologies by performing MI tasks alone. Throughout MI-BCI use, human supervision (e.g., exp…