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Sylvain Chevallier
Full Professor at LISN-CNRS, Université Paris-Saclay
100%
Open access
4
Documents
Current affiliations
- 1066529
- 1061259
Researcher identifiers
sylvain-chevallier
- Arxiv : chevallier_s_1
- IdRef : 142286826
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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
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Review of Riemannian Distances and Divergences, Applied to SSVEP-based BCINeuroinformatics, 2021, 19 (1), pp.93-106. ⟨10.1007/s12021-020-09473-9⟩
Journal articles
hal-03015762v1
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Smart Interfaces for New Building Design ProcessIEEE Last Mile Smart Mobility, Nov 2016, Vélizy, France
Conference papers
hal-02541482v1
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Intelligent artifacts removal in a non-invasive single channel EEG recordingIntelligent Systems and Computer Vision (ISCV), Mar 2015, Fez, Morocco, France. ⟨10.1109/ISACV.2015.7106164⟩
Conference papers
hal-02541579v1
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Fast calibration of hand movement-based interface for arm exoskeleton controlEuropean Symposium on Artificial Neural Networks (ESANN), Apr 2012, Bruges, Belgium. pp.573-578
Conference papers
hal-00757886v1
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