Léa Pillette
Léa Pillette
Univ. Bordeaux, CNRS, EPHE, INCIA, UMR5287 F-33000 Bordeaux, France
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A review of user training methods in brain computer interfaces based on mental tasks
A Roc, L Pillette, J Mladenovic, C Benaroch, B N’Kaoua, C Jeunet, F Lotte
Journal of Neural Engineering 18 (1), 011002, 2021
EEG neurofeedback research: A fertile ground for psychiatry?
JM Batail, S Bioulac, F Cabestaing, C Daudet, D Drapier, M Fouillen, ...
L'encephale 45 (3), 245-255, 2019
A BCI challenge for the signal processing community: considering the user in the loop
F Lotte, C Jeunet, J Mladenović, B N'Kaoua, L Pillette
Signal Processing and Machine Learning for Brain-Machine Interfaces, 1-33, 2018
Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies
L Pillette, F Lotte, B N’Kaoua, PA Joseph, C Jeunet, B Glize
NeuroImage: Clinical 28, 102417, 2020
Experimenters' influence on mental-imagery based brain-computer interface user training
L Pillette, A Roc, B N’Kaoua, F Lotte
International Journal of Human-Computer Studies 149, 102603, 2021
Peanut: Personalised emotional agent for neurotechnology user-training
L Pillette, C Jeunet, B Mansencal, R N'Kambou, B N'Kaoua, F Lotte
7th International BCI Conference, 2017
A physical learning companion for Mental-Imagery BCI User Training
L Pillette, C Jeunet, B Mansencal, R N’kambou, B N’Kaoua, F Lotte
International Journal of Human-Computer Studies 136, 102380, 2020
Would Motor-Imagery based BCI user training benefit from more women experimenters?
A Roc, L Pillette, B N'Kaoua, F Lotte
8th Graz Brain-Computer Interface Conference, 2019
Long-term BCI training of a tetraplegic user: Adaptive Riemannian classifiers and user training
C Benaroch, K Sadatnejad, A Roc, A Appriou, T Monseigne, S Pramij, ...
Frontiers in Human Neuroscience 15, 635653, 2021
Redefining and adapting feedback for mental-imagery based brain-computer interface user training to the learners’ traits and states
L Pillette
Université de Bordeaux, 2019
Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces
L Pillette, C Jeunet, R N'Kambou, B N'Kaoua, F Lotte
WACAI 2018 - Workshop sur les “Affects, Compagnons Artificiels et Interactions”, 2019
Channel selection over riemannian manifold with non-stationarity consideration for brain-computer interface applications
K Sadatnejad, A Roc, L Pillette, T Monseigne, F Lotte
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Multi-Session Influence of Two Modalities of Feedback and Their Order of Presentation on MI-BCI User Training
L Pillette, B N’Kaoua, R Sabau, B Glize, F Lotte
Multimodal Technologies and Interaction 5 (3), 12, 2021
A Systematic Review of Navigation Assistance Systems for People with Dementia
L Pillette, G Moreau, JM Normand, M Perrier, A Lecuyer, M Cogne
IEEE Transactions on Visualization and Computer Graphics, 2022
BioPyC, an open-source Python toolbox for offline electroencephalographic and physiological signals classification
A Appriou, L Pillette, D Trocellier, D Dutartre, A Cichocki, F Lotte
Sensors 21 (17), 5740, 2021
A user-centred approach to unlock the potential of non-invasive BCIs: an unprecedented international translational effort
C Jeunet, C Bernaroch, F Cabestaing, R Chavarriaga, E Colamarino, ...
Inria research & development for the Cybathlon BCI series
F Lotte, M Clerc, A Appriou, A Audino, C Benaroch, P Giacalone, C Jeunet, ...
8th Graz Brain-Computer Interface Conference 2019, 2019
Classification of attention types in EEG signals
L Pillette, A Appriou, A Cichocki, B N'Kaoua, F Lotte
Interntional BCI Meeting 2018, 2018
Toward distinguishing the different types of attention using EEG signals
L Pillette, A Cichocki, B N'Kaoua, F Lotte
JJC-ICON’2018, 2018
When HCI Meets Neurotechnologies: What You Should Know about Brain-Computer Interfaces
J Frey, J Mladenović, F Lotte, C Jeunet, L Pillette
Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors …, 2017
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