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50

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 articles8 documents

  • Jinan Charafeddine, Sylvain Chevallier, Samer Alfayad, Mohamad Khalil, Didier Pradon. Biokinematic Control Strategy for Rehabilitation Exoskeleton Based on User Intention. International Journal of Modeling and Optimization, IJMO, 2019, 9 (6), pp.322-328. ⟨10.7763/IJMO.2019.V9.730⟩. ⟨hal-02421115⟩
  • Olivier Rabreau, Sylvain Chevallier, Luc Chassagne, Eric Monacelli. SenseJoy, a pluggable solution for assessing user behavior during powered wheelchair driving tasks. Journal of NeuroEngineering and Rehabilitation, BioMed Central, 2019, 16, pp.134. ⟨10.1186/s12984-019-0613-x⟩. ⟨hal-02399466⟩
  • Eric Azabou, Guillaume Bao, Sylvain Chevallier, Fabienne Marlats, Bernard Bussel, et al.. Supra-threshold Inspiratory Loads Elicit Respiratory Related Evoked Potentials in Healthy Subjects. Neurophysiologie Clinique/Clinical Neurophysiology, Elsevier Masson, 2018, 48 (4), pp.221. ⟨10.1016/j.neucli.2018.06.006⟩. ⟨hal-02153493⟩
  • Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch. Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels. Biomedical Signal Processing and Control, Elsevier, 2017, 38, pp.302-311. ⟨10.1016/j.bspc.2017.06.016⟩. ⟨hal-01712401⟩
  • Emmanuel Kalunga, Sylvain Chevallier, Quentin Barthélemy, Karim Djouani, Eric Monacelli, et al.. Online SSVEP-based BCI using Riemannian geometry. Neurocomputing, Elsevier, 2016, 191, pp.55-68. ⟨10.1016/j.neucom.2016.01.007⟩. ⟨hal-01351623⟩
  • Yuan Yang, Isabelle Bloch, Sylvain Chevallier, Joe Wiart. Subject-Specific Channel Selection Using Time Information for Motor Imagery Brain–Computer Interfaces. Cognitive Computation, Springer, 2016, 8 (3), pp.505-518. ⟨10.1007/s12559-015-9379-z⟩. ⟨hal-01351620⟩
  • Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch. Time-frequency optimization for discrimination between imagination of right and left hand movements based on two bipolar electroencephalography channels. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2014, 2014 (1), pp.38. ⟨10.1186/1687-6180-2014-38⟩. ⟨hal-01351618⟩
  • Zoran Tiganj, Sylvain Chevallier, Eric Monacelli. Influence of extracellular oscillations on neural communication: a computational perspective. Frontiers in Computational Neuroscience, Frontiers, 2014, 8 (9), ⟨10.3389/fncom.2014.00009⟩. ⟨hal-01214044⟩

Conference papers36 documents

  • Amina Alaoui-Belghiti, Sylvain Chevallier, Eric Monacelli, Guillaume Bao, Eric Azabou. Semi-supervised optimal transport methods for detecting anomalies. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. ⟨hal-02614100⟩
  • Amina Alaoui-Belghiti, Sylvain Chevallier, Eric Monacelli. Unsupervised anomaly detection using optimal transport for predictive maintenance. International Conference on Artificial Neural Networks, Sep 2019, Munich, Germany. ⟨hal-02541920⟩
  • Jinan Charafeddine, Sylvain Chevallier, Mohamad Khalil, Didier Pradon, Samer Alfayad. Neuromotor Strategy of Gait Rehabilitation for Lower-Limb Spasticity. International Conference on Advances in Biomedical Engineering (ICABME), Oct 2019, Tripoli, Lebanon. ⟨hal-02541681⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Hugo Martin, Sylvain Chevallier, Eric Monacelli. Smart Interfaces for New Building Design Process. IEEE Last Mile Smart Mobility, Nov 2016, Vélizy, France. ⟨hal-02541482⟩
  • Amin Zammouri, Abdelaziz Ait Moussa, Sylvain Chevallier. Embedded-BCI: assessment of parallelizing computations on an embedded system. IEEE Last Mile Smart Mobility, Nov 2016, Vélizy, France. ⟨hal-02541485⟩
  • 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⟩
  • Amin Zammouri, Abdelaziz Ait Moussa, Sylvain Chevallier, Eric Monacelli. Intelligent artifacts removal in a non-invasive single channel EEG recording. Intelligent Systems and Computer Vision (ISCV), Mar 2015, Fez, Morocco, France. ⟨hal-02541579⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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. 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. 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⟩
  • 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⟩
  • 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, 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, Hélène Paugam-Moisy, Michèle Sebag. SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system. NIPS'2010, Dec 2010, Vancouver, Canada. pp.379--387. ⟨inria-00545669⟩
  • Sylvain Chevallier, Helene Paugam-Moisy, Michèle Sebag. SpikeAnts: un réseau de neurones impulsionnels pour modéliser l'organisation émergente dans un système complexe. NeuroComp 3e conférence française de Neurosciences Computationnelles, Apr 2010, Lyon, France. ⟨hal-02541733⟩
  • 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, 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, Helene Paugam-Moisy. Modélisation de processus attentionnels dans la perception multimodale d'un robot virtuel. Actes du VIème Colloque Jeunes Chercheurs en Sciences Cognitives, Apr 2005, Bordeaux, France. ⟨hal-02541270⟩
  • 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 sections3 documents

  • 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⟩
  • 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, pp.372-398, 2018. ⟨hal-01739877⟩
  • Taras Kowaliw, Nicolas Bredeche, Sylvain Chevallier, René Doursat. Artificial Neurogenesis: An Introduction and Selective Review. Springer; Taras Kowaliw, Nicolas Bredeche, René Doursat. Growing Adaptive Machines, 557, pp.1-60, 2014, Studies in Computational Intelligence, 978-3-642-55336-3. ⟨10.1007/978-3-642-55337-0_1⟩. ⟨hal-01351738⟩

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⟩

Habilitation à diriger des recherches1 document

  • Sylvain Chevallier. Des signaux cérébraux aux activités cognitives, approches géométriques et apprentissage statistique. Traitement du signal et de l'image [eess.SP]. Université de Versailles Saint Quentin en Yvelines; Université Paris-Saclay, 2019. ⟨tel-02542067⟩