Search Results - "Pillette, Lea"

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  1. 1

    A review of user training methods in brain computer interfaces based on mental tasks by Roc, Aline, Pillette, Lea, Mladenovic, Jelena, Benaroch, Camille, N'Kaoua, Bernard, Jeunet, Camille, Lotte, Fabien

    Published in Journal of neural engineering (01-02-2021)
    “…Mental-tasks based brain-computer interfaces (MT-BCIs) allow their users to interact with an external device solely by using brain signals produced through…”
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    Journal Article
  2. 2

    Experimenters' Influence on Mental-Imagery based Brain-Computer Interface User Training by Pillette, Léa, Roc, Aline, N’Kaoua, Bernard, Lotte, Fabien

    “…•Mental-Imagery based Brain-Computer Interface (MI-BCI) training needs experimenters•Experimenters influence on MI-BCI training outcome is unassessed and was…”
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    Journal Article
  3. 3

    BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification by Appriou, Aurélien, Pillette, Léa, Trocellier, David, Dutartre, Dan, Cichocki, Andrzej, Lotte, Fabien

    Published in Sensors (Basel, Switzerland) (26-08-2021)
    “…Research on brain–computer interfaces (BCIs) has become more democratic in recent decades, and experiments using electroencephalography (EEG)-based BCIs has…”
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    Journal Article
  4. 4

    Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training by Benaroch, Camille, Sadatnejad, Khadijeh, Roc, Aline, Appriou, Aurélien, Monseigne, Thibaut, Pramij, Smeety, Mladenovic, Jelena, Pillette, Léa, Jeunet, Camille, Lotte, Fabien

    Published in Frontiers in human neuroscience (18-03-2021)
    “…While often presented as promising assistive technologies for motor-impaired users, electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) remain…”
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    Journal Article
  5. 5

    A physical learning companion for Mental-Imagery BCI User Training by Pillette, Léa, Jeunet, Camille, Mansencal, Boris, N’Kambou, Roger, N’Kaoua, Bernard, Lotte, Fabien

    “…•Learning companions could improve Brain-Computer Interface (BCI) user experience.•Non-autonomous users can benefit from learning companions (increased…”
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    Journal Article
  6. 6

    A Systematic Review of Navigation Assistance Systems for People With Dementia by Pillette, Lea, Moreau, Guillaume, Normand, Jean-Marie, Perrier, Manon, Lecuyer, Anatole, Cogne, Melanie

    “…Technological developments provide solutions to alleviate the tremendous impact on the health and autonomy due to the impact of dementia on navigation…”
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    Journal Article
  7. 7

    A large EEG database with users’ profile information for motor imagery brain-computer interface research by Dreyer, Pauline, Roc, Aline, Pillette, Léa, Rimbert, Sébastien, Lotte, Fabien

    Published in Scientific data (05-09-2023)
    “…We present and share a large database containing electroencephalographic signals from 87 human participants, collected during a single day of brain-computer…”
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    Journal Article
  8. 8

    Towards electrophysiological measurement of presence in virtual reality through auditory oddball stimuli by Savalle, Emile, Pillette, Léa, Won, Kyungho, Argelaguet, Ferran, Lécuyer, Anatole, J-M Macé, Marc

    Published in Journal of neural engineering (12-07-2024)
    “…Presence is an important aspect of user experience in virtual reality (VR). It corresponds to the illusion of being physically located in a virtual environment…”
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    Journal Article
  9. 9

    Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies by Pillette, Léa, Lotte, Fabien, N’Kaoua, Bernard, Joseph, Pierre-Alain, Jeunet, Camille, Glize, Bertrand

    Published in NeuroImage clinical (01-01-2020)
    “…•Brain-Computer Interfaces (BCI)-based therapy relies on timely sensory feedback.•Somatosensory loss is usually not reported for these therapies.•Yet, it…”
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    Journal Article
  10. 10

    Multi-Session Influence of Two Modalities of Feedback and Their Order of Presentation on MI-BCI User Training by Pillette, Léa, N’Kaoua, Bernard, Sabau, Romain, Glize, Bertrand, Lotte, Fabien

    Published in Multimodal technologies and interaction (19-03-2021)
    “…By performing motor-imagery tasks, for example, imagining hand movements, Motor-Imagery based Brain-Computer Interfaces (MI-BCIs) users can control digital…”
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    Journal Article
  11. 11

    Large scale investigation of the effect of gender on mu rhythm suppression in motor imagery brain-computer interfaces by von Groll, Valentina Gamboa, Leeuwis, Nikki, Rimbert, Sébastien, Roc, Aline, Pillette, Léa, Lotte, Fabien, Alimardani, Maryam

    “…The utmost issue in Motor Imagery Brain-Computer Interfaces (MI-BCI) is the BCI poor performance known as 'BCI inefficiency'. Although past research has…”
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    Journal Article
  12. 12

    Modeling the acceptability of BCIs for motor rehabilitation after stroke: A large scale study on the general public by Grevet, Elise, Forge, Killyam, Tadiello, Sebastien, Izac, Margaux, Amadieu, Franck, Brunel, Lionel, Pillette, Léa, Py, Jacques, Gasq, David, Jeunet-Kelway, Camille

    Published in Frontiers in neuroergonomics (01-02-2023)
    “…Strokes leave around 40% of survivors dependent in their activities of daily living, notably due to severe motor disabilities. Brain-computer interfaces (BCIs)…”
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    Journal Article
  13. 13

    Channel Selection over Riemannian Manifold with Non-Stationarity Consideration for Brain-Computer Interface Applications by Sadatnejad, Khadijeh, Roc, Aline, Pillette, Lea, appriou, Aurelien, Monseigne, Thibaut, Lotte, Fabien

    “…In this paper, we propose and compare multiple criteria for selecting ElectroEncephaloGraphic (EEG) channels over the Riemannian manifold, for EEG…”
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    Conference Proceeding
  14. 14

    EEG neurofeedback research: A fertile ground for psychiatry? by Batail, J-M, Bioulac, S, Cabestaing, F, Daudet, C, Drapier, D, Fouillen, M, Fovet, T, Hakoun, A, Jardri, R, Jeunet, C, Lotte, F, Maby, E, Mattout, J, Medani, T, Micoulaud-Franchi, J-A, Mladenovic, J, Perronet, L, Pillette, L, Ros, T, Vialatte, F

    Published in Encéphale (01-06-2019)
    “…The clinical efficacy of neurofeedback is still a matter of debate. This paper analyzes the factors that should be taken into account in a transdisciplinary…”
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    Journal Article
  15. 15

    Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces by Pillette, Léa, Jeunet, Camille, N'Kambou, Roger, N'Kaoua, Bernard, Lotte, Fabien

    Published 23-05-2019
    “…WACAI 2018 - Workshop sur les "Affects, Compagnons Artificiels et Interactions'', Jun 2018, Ile de Porquerolles, France. pp.1-8 Mental Imagery based…”
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    Journal Article
  16. 16

    Would Motor-Imagery based BCI user training benefit from more women experimenters? by Roc, Aline, Pillette, Léa, N'Kaoua, B, Lotte, Fabien

    Published 14-05-2019
    “…8th International BCI Conference, Sep 2019, Graz, Austria Mental Imagery based Brain-Computer Interfaces (MI-BCI) are a mean to control digital technologies by…”
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    Journal Article