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Camille Jeunet
61
Documents
Presentation
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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Manipulating the Sense of Embodiment in Virtual Reality: a study of the interactions between the senses of agency, self-location and ownershipICAT-EGVE2022, the joint international conference of the 32nd International Conference on Artificial Reality and Telexistence & the 27th Eurographics Symposium on Virtual Environments (2022), Nov 2022, Yokohama, Japan. pp.1-11, ⟨10.2312/egve.20221281⟩
Conference papers
hal-03853981v1
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Modelling the Acceptance of BCI-based Stroke Rehabilitation Procedures: Heading for Efficiently Personalised TherapiesInternational BCI Meeting, BCI Society, Sep 2021, Online, Belgium
Conference papers
hal-03331687v1
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Detecting System Errors in Virtual Reality Using EEG Through Error-Related PotentialsVR 2020 - 27th IEEE Conference on Virtual Reality and 3D User Interfaces, Mar 2020, Atlanta, United States. pp.653-661, ⟨10.1109/VR46266.2020.00088⟩
Conference papers
hal-02919928v1
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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
Conference papers
hal-02971802v1
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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
Conference papers
hal-03081767v1
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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
Conference papers
hal-03082849v1
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Are users' traits informative enough to predict/explain their mental-imagery based BCI performances ?8th Graz BCI Conference 2019, Sep 2019, Graz, Austria
Conference papers
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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
Conference papers
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
Conference papers
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Towards a cognitive model of MI-BCI user trainingInternational Graz BCI Conference , Sep 2017, Graz, Austria
Conference papers
hal-01519476v1
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Investigating neurophysiological correlates of covert attention in soccer goalkeepersWCSS 2017 - World Conference on Science and Soccer, May 2017, Rennes, France. pp.1
Conference papers
hal-01669331v1
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PEANUT: Personalised Emotional Agent for Neurotechnology User-Training7th International BCI Conference, Sep 2017, Graz, Austria
Conference papers
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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
Conference papers
hal-01341042v1
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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⟩
Conference papers
hal-01159146v1
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Training Users' Spatial Abilities to Improve Brain-Computer Interface Performance: A Theoretical Approach9th Conference of Young Researchers in Cognitives Sciences, Jun 2015, Paris, France
Conference papers
hal-01162411v1
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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
Conference papers
hal-01179329v1
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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
Conference papers
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Predicting Mental-Imagery Based Brain-Computer Interface Performance from Psychometric QuestionnaireswomENcourage, Sep 2015, Uppsala, Sweden
Conference papers
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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
Conference papers
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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
Conference papers
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Improving the acceptability to enhance the efficiency of stroke rehabilitation procedures based on brain-computer interfacesAnnual CORTICO Meeting 2022 "Invasive and non invasive Brain-Computer Interfaces - A handshake over the cliff", Mar 2022, Autrans-Méaudre en Vercors, France.
Conference poster
hal-03614065v2
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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
Conference poster
hal-02095124v1
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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
Conference poster
hal-02432459v1
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Inria Research & Development for the Cybathlon BCI series8th Graz Brain-Computer Interface Conference 2019, Sep 2019, Graz, Austria. 2019
Conference poster
hal-02433970v1
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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
Conference poster
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
Conference poster
hal-01285365v1
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Spatial Abilities Play a Major Role in BCI Performance6th International BCI Meeting, May 2016, Asilomar, United States. 2016
Conference poster
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
Conference poster
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
Conference poster
hal-00879588v1
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Working Memory Resource Depletion Effect in Academic Learning: Steps to an Integrated ApproachHuman Mental Workload: Models and Applications, 4th International Symposium, H-WORKLOAD 2020., pp.13-26, 2020, ⟨10.1007/978-3-030-62302-9_2⟩
Book sections
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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
Book sections
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
Book sections
hal-01620186v1
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Apprentissage humain pour les interfaces cerveau-ordinateurWiley; ISTE. Les Interfaces Cerveau-Ordinateur , 1, 2016, Fondements & Méthodes
Book sections
hal-01414106v1
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Nouvelles technologies et handicap2019, https://pintofscience.fr/event/nouvelles-technologies-et-handicap
Other publications
hal-02092400v1
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Modelling the acceptability of BCIs for motor rehabilitation after stroke: a large scale study on the general public2022
Preprints, Working Papers, ...
hal-03893371v1
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Understanding & Improving Mental-Imagery Based Brain-Computer Interface (Mi-Bci) User-Training : towards A New Generation Of Reliable, Efficient & Accessible Brain- Computer InterfacesPsychology. Université de Bordeaux, 2016. English. ⟨NNT : 2016BORD0221⟩
Theses
tel-01417606v1
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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
Lectures
cel-01418705v1
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