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Camille Jeunet

4
Documents

Présentation

Camille Jeunet obtained a M.Sc (2013) as well as a PhD (2016) degree in cognitive sciences, both from the University of Bordeaux. Her PhD was awarded by the European Label and by 3 PhD awards, from IFRATH-Kaelis (best PhD in assistive technologies), from the IEEE SMC society (best PhD in Human-Computer Interaction) and from the University of Bordeaux (special prize of the international committee). In 2017-2018, she was hired for a post-doc at EPFL (Geneva, Switzerland) and Inria (Rennes, France). Since October 2018, she has been a Research Scientist at CNRS (the french National Center for Scientific Research) in the CLLE Lab, Toulouse, France. She leads an interdisciplinary research bringing together computer science, psychology and neurosciences in order to better understand the processes underlying human learning in Brain-Computer Interfaces (BCIs), and improve BCI user-training. She is particularly interested in using these technologies to improve motor skills in athletes and in patients who suffered from a stroke. Since 2017, she has been part of the board of the BCI french association, called CORTICO. She is notably in charge of organising, each year, the meeting of this association as well as a conference for the young researchers of the domain.

Publications

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Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces

 Léa Pillette , Camille Jeunet , Roger N'Kambou , Bernard N'Kaoua , Fabien Lotte
WACAI 2018 - Workshop sur les “Affects, Compagnons Artificiels et Interactions”, Jun 2018, Ile de Porquerolles, France. pp.1-8
Communication dans un congrès hal-01762612v3
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Towards a Spatial Ability Training to Improve Mental Imagery based Brain-Computer Interface (MI-BCI) Performance: a Pilot Study

 Suzy Teillet , Fabien Lotte , Bernard N'Kaoua , Camille Jeunet
IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016) , Oct 2016, Budapest, Hungary. pp.6
Communication dans un congrès hal-01341042v1
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Predicting Mental-Imagery Based Brain-Computer Interface Performance from Psychometric Questionnaires

 Camille Jeunet , Bernard N'Kaoua , Martin Hachet , Fabien Lotte
womENcourage, Sep 2015, Uppsala, Sweden
Communication dans un congrès hal-01162415v1
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Evaluative vs explanatory neurofeedback: What is their impact on athletes' MI-NF performance and cognitive load?

 Eléa Rossignol , Pierre Fayol , Margaux Izac , Léa Pillette , Franck Di Rienzo
Journées CORTICO 2023, May 2023, Paris, France
Poster de conférence hal-04211660v1