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38

Brain signal for assisting people


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 TAO INRIA and one at Telecom ParisTech. I am now assistant professor in LISV - University of Versailles where I work on BCI for rehabilitation robotics.


Journal articles6 documents

Conference papers29 documents

  • Sylvain Chevallier, Guillaume Bao, Mayssa Hammami, Fabienne Marlats, Louis Mayaud, et al.. Brain-Machine Interface for Mechanical Ventilation Using Respiratory-Related Evoked Potential. 27th International Conference on Artificial Neural Networks( ICANN 2018), Oct 2018, Rhodes, Greece. ⟨10.1007/978-3 -030-01424-7_65⟩. ⟨hal-01911136⟩
  • Emmanuel Kalunga, Sylvain Chevallier, Quentin Barthélemy. Transfer Learning for SSVEP-based BCI using Riemannian similarities between users. 26th European Signal Processing Conference (EUSIPCO 2018), Sep 2018, Rome, Italy. pp.1685-1689. ⟨hal-01911092⟩
  • Estelle Massart, Sylvain Chevallier. Inductive means and sequences applied to online classification of EEG. 3rd International Conference on Geometric Science of Information (GSI), Nov 2017, Paris, France. ⟨hal-01711499⟩
  • Emmanuel Kalunga, Sylvain Chevallier, Quentin Barthélemy, Karim Djouani, Yskandar Hamam, et al.. From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification. Geometric Science of Information, Oct 2015, Palaiseau, France. pp.595-604, ⟨10.1007/978-3-319-25040-3_64⟩. ⟨hal-01351753⟩
  • Emmanuel Kalunga, Sylvain Chevallier, Quentin Barthélemy. Data augmentation in Riemannian space for Brain-Computer Interfaces. STAMLINS, Jun 2015, Lille, France. ⟨hal-01351990⟩
  • Hugo Martin, Sylvain Chevallier, Eric Monacelli. Adaptive visualization system for construction building information using saliency. 15th International Conference on Construction Applications of Virtual Reality (CONVR 2015), Oct 2015, Banff, Canada. pp.317-326. ⟨hal-01351881⟩
  • Emmanuel Kalunga, Sylvain Chevallier, Quentin Barthélemy. Data augmentation in Riemannian space for Brain-Computer Interfaces. ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), Bertrand Thirion, Lars Kai Hansen, Sanmi Koyejo, Jul 2015, Lille, France. ⟨hal-01225255⟩
  • Sylvain Chevallier, Quentin Barthélemy, Jamal Atif. Subspace metrics for multivariate dictionaries and application to EEG. IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. ⟨10.1109/ICASSP.2014.6854993⟩. ⟨hal-01352047⟩
  • Sylvain Chevallier, Quentin Barthélemy, Jamal Atif. On the need for metrics in dictionary learning assessment. 22nd European Signal Processing Conference (EUSIPCO) , Sep 2014, Lisbon, Portugal. ⟨hal-01352054⟩
  • Emmanuel Kalunga, Sylvain Chevallier, Olivier Rabreau, Eric Monacelli. Hybrid interface: Integrating BCI in multimodal human-machine interfaces. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Jul 2014, Besançon, France. pp.530 - 535 ⟨10.1109/AIM.2014.6878132⟩. ⟨hal-01352056⟩
  • Emmanuel Kalunga, Karim Djouani, Yskandar Hamam, Sylvain Chevallier, Eric Monacelli. SSVEP enhancement based on Canonical Correlation Analysis to improve BCI performances. AFRICON 2013, Sep 2013, Pointe-Aux-Piments, Mauritius. ⟨10.1109/AFRCON.2013.6757776⟩. ⟨hal-01352059⟩
  • Hugo Martin, Sylvain Chevallier, Eric Monacelli. Fast calibration of hand movement-based interface for arm exoskeleton control. European Symposium on Artificial Neural Networks (ESANN), Apr 2012, Bruges, Belgium. pp.573-578. ⟨hal-00757886⟩
  • Zoran Tiganj, Mamadou Mboup, Sylvain Chevallier, Emmanuel Kalunga. Online frequency band estimation and change-point detection. 1st International Conference Systems and Computer Science, Aug 2012, Lille, France. ⟨hal-00756089⟩
  • Yuan Yang, Sylvain Chevallier, J. Wiart, Isabelle Bloch. A self-paced hybrid BCI based on EEG and EOG. 3rd TOBI workshop - Bringinh BCIs to end-users: facing the challenge, Mar 2012, Wurzburg, Germany. pp.33-34. ⟨hal-00686648⟩
  • Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch. A Self-paced Hybrid BCI based on EEG and EOG. 3rd Workshop of Tools for Brain-computer Interaction (TOBI 2012), Mar 2012, Wuerzburg, Germany. pp.4.2. ⟨hal-00686104⟩
  • Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch. Time-frequency Selection in Two Bipolar Channels for Improving the Classification of Motor Imagery EEG. The proceeding of 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'12), Aug 2012, San Diego, United States. pp.2744-2747. ⟨hal-00737280⟩
  • Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch. Automatic selection of the number of spatial filters for motor-imagery BCI. The proceeding of 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), Apr 2012, Bruges, Belgium. pp.109-114. ⟨hal-00737242⟩
  • Ludovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-Moisy. An Introduction to Deep Learning. European Symposium on Artificial Neural Networks (ESANN), Apr 2011, Bruges, Belgium. ⟨hal-01352061⟩
  • Sylvain Chevallier, Nicolas Bredeche, Hélène Paugam-Moisy, Michèle Sebag. Emergence of Temporal and Spatial Synchronous Behaviors in a Foraging Swarm. European Conference on Artificial Life, Aug 2011, Paris, France. ⟨inria-00601780⟩
  • Sylvain Chevallier, Hélène Paugam-Moisy, Michèle Sebag. SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system. J. Lafferty and C. K. I. Williams and J. Shawe-Taylor and R.S. Zemel and A. Culott. NIPS'2010, Dec 2010, Vancouver, Canada. pp.379--387, 2010, Advances in Neural Information Processing Systems 23. 〈inria-00545669〉
  • Sylvain Chevallier, Helene Paugam-Moisy, Michèle Sebag. SpikeAnts : un réseau de neurones impulsionnels pour modéliser l'émergence de l'organisation. Cinquième conférence française de Neurosciences Computationnelles, Oct 2010, Lyon, France. pp.114-119. ⟨inria-00529514⟩
  • Sylvain Chevallier, Nicolas Cuperlier, Philippe Gaussier. Efficient neural models for visual attention. Computer Vision and Graphics, Sep 2010, Varsovie, Poland. pp.257-264, ⟨10.1007/978-3-642-15910-7⟩. ⟨hal-00529523⟩
  • Sylvain Chevallier, Sonia Dahdouh. Difference of Gaussians type neural image filtering with spiking neurons. International Conference on Neural Computation, Oct 2009, Madère, Portugal. pp.467-472. ⟨hal-00472842⟩
  • Sylvain Chevallier, Philippe Tarroux. Covert Attention with a Spiking Neural Network. International Conference on Computer Vision Systems, May 2008, Santorini, Greece. pp.56-65, ⟨10.1007/978-3-540-79547-6_6⟩. ⟨hal-00472646⟩
  • Sylvain Chevallier, Philippe Tarroux. Visual focus with spiking neurons. European Symposium on Artificial Neural Networks, Apr 2008, Bruges, Belgium. pp.385-389. ⟨hal-00472642⟩
  • Sylvain Chevallier, Philippe Tarroux. Implémentation d'un mécanisme de "covert attention" avec un réseau de neurones impulsionnels. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331563⟩
  • Sylvain Chevallier, Philippe Tarroux. Extraction de saillances par un réseau de neurones impulsionnels. NeuroComp, Oct 2006, Pont-à-Mousson, France. pp.154-157. ⟨hal-00529479⟩
  • Sylvain Chevallier, Philippe Tarroux, Hélène Paugam-Moisy. Saliency extraction with a distributed spiking neural network. European Symposium on Artificial Neural Networks, Apr 2006, Bruges, Belgium. pp.209-214. ⟨hal-00023820v2⟩
  • Sylvain Chevallier, Hélène Paugam-Moisy, François Lemaître. Distributed processing for modelling real-time multimodal perception in a virtual robot. PDCN'2005, Feb 2005, Innsbruck, Austria. pp.393-398. ⟨hal-00529527⟩

Book sections1 document

  • Sylvain Chevallier, Emmanuel Kalunga, Quentin Barthélemy, Florian Yger. Riemannian classification for SSVEP based BCI: offline versus online implementations. Brain–Computer Interfaces Handbook: Technological and Theoretical Advances, 2018. ⟨hal-01710089⟩

Reports1 document

  • Emmanuel Kalunga, Sylvain Chevallier, Quentin Barthélemy. Using Riemannian geometry for SSVEP-based Brain Computer Interface. [Research Report] Université de Versailles Saint-Quentin; Mensia Technologies, SA. 2015. ⟨hal-01351685⟩

Theses1 document

  • Sylvain Chevallier. Implémentation d'un système préattentionnel avec des neurones impulsionnels. Modélisation et simulation. Université Paris Sud - Paris XI, 2009. Français. ⟨tel-00472849⟩