- 1
- 1
- 1
Sylvain Chevallier
Full Professor at LISN-CNRS, Université Paris-Saclay
100%
Open access
3
Documents
Current affiliations
- 1066529
- 1061259
Researcher identifiers
sylvain-chevallier
- Arxiv : chevallier_s_1
- IdRef : 142286826
-
0000-0003-3027-8241
- Google Scholar : https://scholar.google.fr/citations?user=j5Tu_SQAAAAJ&hl=fr
Presentation
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
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 3
- 3
- 2
- 3
- 3
- 1
- 2
- 1
|
Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary resultsEMBC 2022- 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Jul 2022, Glasgow, United Kingdom. ⟨10.1109/EMBC48229.2022.9871820⟩
Conference papers
hal-03641137v2
|
|
Subspace oddity - optimization on product of Stiefel manifolds for EEG dataICASSP, Jun 2021, Toronto, Canada
Conference papers
hal-03202357v2
|
|
User-specific frequency band and time segment selection with high class distinctiveness for Riemannian BCIsCORTICO 2022 : Invasive and non invasive Brain-Computer Interfaces – A handshake over the cliff, Mar 2022, Autrans, France
Conference poster
hal-03931339v1
|