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Sylvain Chevallier

Professeur au LISN-CNRS, Université Paris-Saclay
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Libre accès
5
Documents
Affiliations actuelles
  • 1066529
  • 1061259
Identifiants chercheurs

Présentation

After a PhD on bio-inspired robotic vision at LIMSI CNRS, I was a post-doc fellow in the neurocybernetic team of ETIS. I embraced a more machine learning centric approach to analyse EEG for Brain-Computer Interface (BCI) during two post-doc, one at INRIA and one at Telecom ParisTech. I worked as assistant professor at LISV, Université de Versailles-St Quentin on BCI for rehabilitation robotics, using Riemannian geometry and time series analysis. I am now full professor in A&O team of LISN-CNRS, Université Paris-Saclay.

Publications

maria-sayu-yamamoto
Image document

Effectiveness of cross-frequency phase-amplitude covariance as additional features for Riemannian BCIs

Maria Sayu Yamamoto , Sylvain Chevallier , Fabien Lotte
BCI 2023 - 10th International BCI Meeting Balancing Innovation and Translation, Jun 2023, Brussels, Belgium. ⟨10.3217/978-3-85125-962-9-179⟩
Poster de conférence hal-04181391v1
Image document

User-specific frequency band and time segment selection with high class distinctiveness for Riemannian BCIs

Maria Sayu Yamamoto , Fabien Lotte , Florian Yger , Sylvain Chevallier
CORTICO 2022 : Invasive and non invasive Brain-Computer Interfaces – A handshake over the cliff, Mar 2022, Autrans, France
Poster de conférence hal-03931339v1