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Camille Jeunet
42
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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Assessing The Relevance Of Neurophysiological Patterns To Predict Motor Imagery-based BCI Users' PerformanceIEEE 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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Using neurophysiological predictors to predict MI-BCI users' performancesCORTICO days 2020 - COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, Oct 2020, Virtual, France
Communication dans un congrès
hal-03082849v1
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Proposition of an optimization of the selection of a discriminative frequency algorithm for Motor-Imagery based BCICORTICO 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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Are users' traits informative enough to predict/explain their mental-imagery based BCI performances ?8th Graz Brain-Computer Interface Conference 2019, Sep 2019, Graz, Austria
Communication dans un congrès
hal-02111581v1
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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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Online classification accuracy is a poor metric to study mental imagery-based bci user learning: an experimental demonstration and new metrics7th International BCI Conference, Sep 2017, Graz, Austria
Communication dans un congrès
hal-01519478v1
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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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Towards a cognitive model of MI-BCI user trainingInternational Graz BCI Conference , Sep 2017, Graz, Austria
Communication dans un congrès
hal-01519476v1
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Towards a Spatial Ability Training to Improve Mental Imagery based Brain-Computer Interface (MI-BCI) Performance: a Pilot StudyIEEE 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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Towards Explanatory Feedback for User Training in Brain–Computer InterfacesIEEE International Conference on Systems Man & Cybernetics (IEEE SMC), Oct 2015, Hong-Kong, China
Communication dans un congrès
hal-01179329v1
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Continuous Tactile Feedback for Motor-Imagery based Brain-Computer Interaction in a Multitasking Context15th Human-Computer Interaction (INTERACT), Sep 2015, Bamberg, Germany. pp.488-505, ⟨10.1007/978-3-319-22701-6_36⟩
Communication dans un congrès
hal-01159146v1
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Towards Improved BCI based on Human Learning Principles3rd International Winter Conference on Brain-Computer Interfaces, Jan 2015, High1 Resort, South Korea
Communication dans un congrès
hal-01111843v1
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Predicting Mental-Imagery Based Brain-Computer Interface Performance from Psychometric QuestionnaireswomENcourage, Sep 2015, Uppsala, Sweden
Communication dans un congrès
hal-01162415v1
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Design and Validation of a Mental and Social Stress Induction Protocol Towards Load-Invariant Physiology-Based DetectionInternational Conference on Physiological Computing Systems, Jan 2014, Lisbonne, Portugal
Communication dans un congrès
hal-00879966v1
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How Well Can We Learn With Standard BCI Training Approaches? A Pilot Study.6th International Brain-Computer Interface Conference, Sep 2014, Graz, Austria
Communication dans un congrès
hal-01052692v1
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Impact of MI-BCI feedback for post-stroke and neurotypical peopleJournée Jeunes Chercheurs en Interfaces Cerveau-Ordinateur et Neurofeedback (JJC-ICON’2019), Mar 2019, Lille, France
Poster de conférence
hal-02095124v1
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Inria Research & Development for the Cybathlon BCI series8th 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 progressionJournées Cortico - COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, Mar 2019, Lille, France
Poster de conférence
hal-02432459v1
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Using computational modelling to better understand and predict Mental-Imagery based BCI (MI-BCI) users' performanceJournées CORTICO 2018 - COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, Apr 2018, Toulouse, France
Poster de conférence
hal-01847280v1
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Why and How to Use Intelligent Tutoring Systems to Adapt MI-BCI Training to Each User6th International BCI Meeting, May 2016, Asilomar, United States. 2016
Poster de conférence
hal-01285365v1
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Spatial Abilities Play a Major Role in BCI Performance6th International BCI Meeting, May 2016, Asilomar, United States. 2016
Poster de conférence
hal-01285369v1
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Impact of Cognitive And Personality Profiles On Motor-Imagery Based Brain-Computer Interface-Controlling Performance17th World Congress of Psychophysiology (IOP2014), Sep 2014, Hiroshima, Japan
Poster de conférence
hal-01088811v2
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Conception et validation d'un protocole pour induire du stress et le mesurer dans des signaux physiologiques25ème conférence francophone sur l'Interaction Homme-Machine, IHM'13, Nov 2013, Bordeaux, France
Poster de conférence
hal-00879588v1
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Apprendre à contrôler une interface cerveau-ordinateurMokrane Bouzeghoub; Jamal Daafouz; Christian Jutten. Vers le cyber-monde : Humain et numérique en interaction, CNRS édition, 2020, 978-2-271-13459-2
Chapitre d'ouvrage
hal-04002174v1
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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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Mind the Traps! Design Guidelines for Rigorous BCI ExperimentsChang S. Nam; Anton Nijholt; Fabien Lotte. Brain–Computer Interfaces Handbook: Technological and Theoretical Advances, CRC Press pp.1-33, 2018, 9781498773430
Chapitre d'ouvrage
hal-01620186v1
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Apprentissage humain pour les interfaces cerveau-ordinateurWiley; ISTE. Les Interfaces Cerveau-Ordinateur , 1, 2016, Fondements & Méthodes
Chapitre d'ouvrage
hal-01414106v1
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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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