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Camille Jeunet

2
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

1007743
Image document

Towards a cognitive model of MI-BCI user training

Camille Jeunet , Bernard N'Kaoua , Fabien Lotte
International Graz BCI Conference , Sep 2017, Graz, Austria
Communication dans un congrès hal-01519476v1
Image document

A BCI challenge for the signal processing community: considering the user in the loop

 Fabien Lotte , Camille Jeunet , Jelena Mladenović , Bernard N'Kaoua , Léa Pillette
Signal Processing and Machine Learning for Brain-Machine Interfaces, IET, pp.1-33, 2018, 978-1-78561-398-2
Chapitre d'ouvrage hal-01762573v2