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Camille Jeunet

6
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

1046248
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A review of user training methods in brain computer interfaces based on mental tasks

 Aline Roc , Léa Pillette , Jelena Mladenović , Camille Benaroch , Bernard N'Kaoua
Journal of Neural Engineering, 2021, 18 (1), ⟨10.1088/1741-2552/abca17⟩
Article dans une revue hal-03009841v1

Proposition of an optimization of the selection of a discriminative frequency algorithm for Motor-Imagery based BCI

 Camille Benaroch , Camille Jeunet , Fabien Lotte
CORTICO days 2020 - COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, Oct 2020, Virtual, France
Communication dans un congrès hal-03081767v1
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Assessing The Relevance Of Neurophysiological Patterns To Predict Motor Imagery-based BCI Users' Performance

 Eidan Tzdaka , Camille Benaroch , Camille Jeunet , Fabien Lotte
IEEE SMC 2020 - IEEE International conference on Systems, Man and Cybernetics, Oct 2020, Toronto / Virtual, Canada
Communication dans un congrès hal-02971802v1
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Are users' traits informative enough to predict/explain their mental-imagery based BCI performances ?

 Camille Benaroch , Camille Jeunet , Fabien Lotte
8th Graz Brain-Computer Interface Conference 2019, Sep 2019, Graz, Austria
Communication dans un congrès hal-02111581v1
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Inria Research & Development for the Cybathlon BCI series

 Fabien Lotte , Maureen Clerc , Aurélien Appriou , Amandine Audino , Camille Benaroch
8th Graz Brain-Computer Interface Conference 2019, Sep 2019, Graz, Austria. 2019
Poster de conférence hal-02433970v1
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Computational modelling to predict/explain MI-BCI users' performances and their progression

 Camille Benaroch , Camille Jeunet , Fabien Lotte
Journées Cortico - COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, Mar 2019, Lille, France
Poster de conférence hal-02432459v1