Léa Pillette

According to our database, Léa Pillette authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Systematic Review of Navigation Assistance Systems for People With Dementia.

Léa Pillette, Guillaume Moreau, Jean-Marie Normand, Manon Perrier, Anatole Lécuyer, Mélanie Cogné

IEEE Trans. Vis. Comput. Graph., April, 2023

2021

BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification.

Aurélien Appriou, Léa Pillette, David Trocellier, Dan Dutartre, Andrzej Cichocki, Fabien Lotte

Sensors, 2021

Multi-Session Influence of Two Modalities of Feedback and Their Order of Presentation on MI-BCI User Training.

Léa Pillette, Bernard N'Kaoua, Romain Sabau, Bertrand Glize, Fabien Lotte

Multimodal Technol. Interact., 2021

Experimenters' Influence on Mental-Imagery based Brain-Computer Interface User Training.

Léa Pillette, Aline Roc, Bernard N'Kaoua, Fabien Lotte

Int. J. Hum. Comput. Stud., 2021

2020

A physical learning companion for Mental-Imagery BCI User Training.

Léa Pillette, Camille Jeunet, Boris Mansencal, Roger N'Kambou, Bernard N'Kaoua, Fabien Lotte

Int. J. Hum. Comput. Stud., 2020

Channel Selection over Riemannian Manifold with Non-Stationarity Consideration for Brain-Computer Interface Applications.

Khadijeh Sadatnejad, Aline Roc, Léa Pillette, Aurélien Appriou, Thibaut Monseigne, Fabien Lotte

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Redefining and Adapting Feedback for Mental-Imagery based Brain-Computer Interface User Training to the Learners' Traits and States. (Redéfinition et adaptation du feedback donné à l'utilisateur lors de l'entraînement à l'utilisation des interfaces cerveau-ordinateur en fonction du profil de l'apprenant).

Léa Pillette

PhD thesis, 2019

Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces.

Léa Pillette, Camille Jeunet, Roger Nkambou, Bernard N'Kaoua, Fabien Lotte

CoRR, 2019

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

Aline Roc, Léa Pillette, Bernard N'Kaoua, Fabien Lotte

Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

2017

Peanut: Personalised Emotional Agent for Neurotechnology User-Training.

Léa Pillette, Camille Jeunet, Boris Mansencal, Roger Nkambou, Bernard N'Kaoua, Fabien Lotte

Proceedings of the From Vision to Reality, 2017

When HCI Meets Neurotechnologies: What You Should Know about Brain-Computer Interfaces.

Jérémy Frey, Jelena Mladenovic, Fabien Lotte, Camille Jeunet, Léa Pillette

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017