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Camille Jeunet
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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.
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Identifying profiles of patients to personalise BCI-based procedures for motor rehabilitation after strokeCORTICO 2023 - Annual meeting de COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, CORTICO, May 2023, Paris, France. pp.1-1
Communication dans un congrès
hal-04288958v1
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Acceptability of BCI-based procedures for motor rehabilitation after stroke: A questionnaire study among patientsCORTICO 2023 - Journées de COllectif pour la Recherche Transdisciplinaires sur les Interfaces Cerveau-Ordinateur, CORTICO, May 2023, Paris, France
Communication dans un congrès
hal-04111610v1
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An online tool to facilitate the assessment of BCI acceptabilityBCI 2023 - 10th International BCI Meeting Balancing Innovation and Translation, Jun 2023, Bruxelles, Belgium. pp.1-1
Communication dans un congrès
hal-04289425v1
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Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer InterfacesWACAI 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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PEANUT: Personalised Emotional Agent for Neurotechnology User-Training7th International BCI Conference, Sep 2017, Graz, Austria. ⟨10.3217/978-3-85125-533-1-76⟩
Communication dans un congrès
hal-01519480v1
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A BCI challenge for the signal processing community: considering the user in the loopSignal Processing and Machine Learning for Brain-Machine Interfaces, IET, pp.1-33, 2018, 978-1-78561-398-2
Chapitre d'ouvrage
hal-01762573v2
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When HCI Meets Neurotechnologies: What You Should Know about Brain-Computer Interfaces3rd cycle. ACM Conference on Human Factors in Computing Systems (CHI 2017), Denver, United States. 2017
Cours
cel-01418705v1
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