Camille Jeunet

21 papers A* 1B 3Journal 6Unranked 11
YearRankTypeTitle / Venue / Authors
2022 J jnl
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets.
CoRR
Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2022 J jnl
Editorial: Brain-Computer Interfaces for Non-clinical (Home, Sports, Art, Entertainment, Education, Well-Being) Applications.
Frontiers Comput. Sci.
Anton Nijholt, José Luis Contreras-Vidal, Camille Jeunet, Aleksander Väljamäe
2021 — conf
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets.
NeurIPS (Competition and Demos)
Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021 — conf
Heading for motor imagery brain-computer interfaces (MI-BCIs) usable out-of-the-lab: Impact of dry electrode setup on classification accuracy.
NER
Maria-Isabel Casso, Camille Jeunet, Raphaëlle N. Roy
2020 J jnl
A physical learning companion for Mental-Imagery BCI User Training.
Int. J. Hum. Comput. Stud.
Léa Pillette, Camille Jeunet, Boris Mansencal, Roger N'Kambou, Bernard N'Kaoua, Fabien Lotte
2020 B conf
Assessing The Relevance Of Neurophysiological Patterns To Predict Motor Imagery-based BCI Users' Performance.
SMC
Eidan Tzdaka, Camille Benaroch, Camille Jeunet, Fabien Lotte
2020 A* conf
Detecting System Errors in Virtual Reality Using EEG Through Error-Related Potentials.
VR
Hakim Si-Mohammed, Catarina Lopes Dias, Maria Duarte, Ferran Argelaguet, Camille Jeunet, Géry Casiez, Gernot R. Müller-Putz, Anatole Lécuyer, Reinhold Scherer
2020 J jnl
Towards BCI-Based Interfaces for Augmented Reality: Feasibility, Design and Evaluation.
IEEE Trans. Vis. Comput. Graph.
Hakim Si-Mohammed, Jimmy Petit, Camille Jeunet, Ferran Argelaguet, Fabien Spindler, Andéol Évain, Nicolas Roussel, Géry Casiez, Anatole Lécuyer
2020 — conf
Working Memory Resource Depletion Effect in Academic Learning: Steps to an Integrated Approach.
H-WORKLOAD
André Tricot, Sébastien Puma, Rémi Capa, Michel Audiffren, Nathalie André, Florence Lespiau, Stéphanie Roussel, Camille Jeunet, Emilie Massa, Dominique Bellec, Elisabeth Fonteneau, Pom Charras
2019 — conf
Are users' traits informative enough to predict/explain their mental-imagery based BCI performances?
GBCIC
Camille Benaroch, Fabien Lotte, Camille Jeunet
2019 J jnl
Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces.
CoRR
Léa Pillette, Camille Jeunet, Roger Nkambou, Bernard N'Kaoua, Fabien Lotte
2018 J jnl
"Do You Feel in Control?": Towards Novel Approaches to Characterise, Manipulate and Measure the Sense of Agency in Virtual Environments.
IEEE Trans. Vis. Comput. Graph.
Camille Jeunet, Louis Albert, Ferran Argelaguet, Anatole Lécuyer
2017 — conf
Online Classification accuracy is a Poor Metric to Study Mental imagery-based BCI User Learning: an Experimental Demonstration and New Metrics.
GBCIC
Fabien Lotte, Camille Jeunet
2017 — conf
Peanut: Personalised Emotional Agent for Neurotechnology User-Training.
GBCIC
Léa Pillette, Camille Jeunet, Boris Mansencal, Roger Nkambou, Bernard N'Kaoua, Fabien Lotte
2017 — conf
Towards a Cognitive Model of MI-BCI User Training.
GBCIC
Camille Jeunet, Bernard N'Kaoua, Fabien Lotte
2017 — conf
When HCI Meets Neurotechnologies: What You Should Know about Brain-Computer Interfaces.
CHI Extended Abstracts
Jérémy Frey, Jelena Mladenovic, Fabien Lotte, Camille Jeunet, Léa Pillette
2016 B conf
Towards a spatial ability training to improve Mental Imagery based Brain-Computer Interface (MI-BCI) performance: A Pilot study.
SMC
Suzy Teillet, Fabien Lotte, Bernard N'Kaoua, Camille Jeunet
2015 — conf
Continuous Tactile Feedback for Motor-Imagery Based Brain-Computer Interaction in a Multitasking Context.
INTERACT (1)
Camille Jeunet, Chi Thanh Vi, Daniel Spelmezan, Bernard N'Kaoua, Fabien Lotte, Sriram Subramanian
2015 B conf
Towards Explanatory Feedback for User Training in Brain-Computer Interfaces.
SMC
Julia Schumacher, Camille Jeunet, Fabien Lotte
2015 — conf
Towards improved BCI based on human learning principles.
BCI
Fabien Lotte, Camille Jeunet
2014 — conf
Design and Validation of a Mental and Social Stress Induction Protocol - Towards Load-invariant Physiology-based Stress Detection.
PhyCS
Camille Jeunet, Fabien Lotte, Christian Mühl