Hybrid Instruments (United Kingdom)

output

20192024

most citedTowards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces

9 citations

researchers with a paper here

Alessia Noccaro1
B. N'Kaoua1
Bruno Arnaldi1
C. Jeunet1 · h 23
Domenico Formica1
F. Lejeune1
F. Lotte1 · h 49
Giovanni Di Pino1
L. Pillette1
Marco D’Alonzo1
R. Nkambou1 · h 26
Ronan Gaugne1

collaborating institutions

Institut de Recherche en Informatique et Systèmes AléatoiresFR3 papers
Université de RennesFR2 papers
Centre National de la Recherche ScientifiqueFR1 paper
École Polytechnique Fédérale de LausanneCH1 paper
Hybrid Plastics (United States)US1 paper
Institut national de recherche en sciences et technologies du numériqueFR1 paper
Institut National de Recherches Archéologiques PréventivesFR1 paper
Institut National des Sciences Appliquées de RennesFR1 paper
Institut Polytechnique de BordeauxFR1 paper
Laboratoire Bordelais de Recherche en InformatiqueFR1 paper
Phoenix VA Health Care SystemUS1 paper
Universidad Central de MéxicoMX1 paper

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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…