Would Motor-Imagery based BCI user training benefit from more women experimenters?

Autor: Roc, Aline, Pillette, Léa, N'Kaoua, B., Lotte, Fabien

Publikováno v: 8th International BCI Conference, Sep 2019, Graz, Austria

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., experimenter or caregiver) plays a central role. While providing emotiona

Externí odkaz: http://arxiv.org/abs/1905.05587

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A physical learning companion for Mental-Imagery BCI User Training

Autor: Pillette, Léa, Jeunet, Camille, Mansencal, Boris, N’Kambou, Roger, N’Kaoua, Bernard, Lotte, Fabien

Publikováno v: In International Journal of Human - Computer Studies April 2020 136

Large scale investigation of the effect of gender on mu rhythm suppression in motor imagery brain-computer interfaces.

Autor: von Groll, Valentina Gamboa, Leeuwis, Nikki, Rimbert, Sébastien, Roc, Aline, Pillette, Léa, Lotte, Fabien, Alimardani, Maryam

Publikováno v: Brain-Computer Interfaces; Jun-Sep2024, Vol. 11 Issue 3, p87-97, 11p

DUPE MIBCI: Database with User’s Profile and EEG signals for Motor Imagery Brain Computer Interface research

Autor: Dreyer, Pauline, Roc, Aline, Rimbert, Sébastien, Lotte, Fabien, Pillette, Léa

Publikováno v: BCI 2023-10th International BCI Meeting Balancing Innovation and Translation
BCI 2023-10th International BCI Meeting Balancing Innovation and Translation, Jun 2023, Bruxelles, Belgium

International audience; We present and share a large database containing electroencephalographic signals from 87 human participants, collected during a single day of brain-computer interface (BCI) experiments, organized into 3 datasets (A, B, and C)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2537dc9c675fa202a32db2206c60adef
https://hal.science/hal-04125666