Camille Jeunet

According to our database, Camille Jeunet authored at least 20 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Editorial: Brain-Computer Interfaces for Non-clinical (Home, Sports, Art, Entertainment, Education, Well-Being) Applications.

Anton Nijholt, José Luis Contreras-Vidal, Camille Jeunet, Aleksander Väljamäe

Frontiers Comput. Sci., 2022

2021

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Heading for motor imagery brain-computer interfaces (MI-BCIs) usable out-of-the-lab: Impact of dry electrode setup on classification accuracy.

Maria-Isabel Casso, Camille Jeunet, Raphaëlle N. Roy

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020

Towards BCI-Based Interfaces for Augmented Reality: Feasibility, Design and Evaluation.

Hakim Si-Mohammed, Jimmy Petit, Camille Jeunet, Ferran Argelaguet, Fabien Spindler, Andéol Évain, Nicolas Roussel, Géry Casiez, Anatole Lécuyer

IEEE Trans. Vis. Comput. Graph., 2020

A physical learning companion for Mental-Imagery BCI User Training.

Léa Pillette, Camille Jeunet, Boris Mansencal, Roger N'Kambou, Bernard N'Kaoua, Fabien Lotte

Int. J. Hum. Comput. Stud., 2020

Detecting System Errors in Virtual Reality Using EEG Through Error-Related Potentials.

Hakim Si-Mohammed, Catarina Lopes Dias, Maria Duarte, Ferran Argelaguet, Camille Jeunet, Géry Casiez, Gernot R. Müller-Putz, Anatole Lécuyer, Reinhold Scherer

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2020

Assessing The Relevance Of Neurophysiological Patterns To Predict Motor Imagery-based BCI Users' Performance.

Eidan Tzdaka, Camille Benaroch, Camille Jeunet, Fabien Lotte

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Working Memory Resource Depletion Effect in Academic Learning: Steps to an Integrated Approach.

André Tricot, Sébastien Puma, Rémi Capa, Michel Audiffren, Nathalie André, Florence Lespiau, Stéphanie Roussel, Camille Jeunet, Emilie Massa, Dominique Bellec, Elisabeth Fonteneau, Pom Charras

Proceedings of the Human Mental Workload: Models and Applications, 2020

2019

Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces.

Léa Pillette, Camille Jeunet, Roger Nkambou, Bernard N'Kaoua, Fabien Lotte

CoRR, 2019

Are users' traits informative enough to predict/explain their mental-imagery based BCI performances?

Camille Benaroch, Fabien Lotte, Camille Jeunet

Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

2018

"Do You Feel in Control?": Towards Novel Approaches to Characterise, Manipulate and Measure the Sense of Agency in Virtual Environments.

Camille Jeunet, Louis Albert, Ferran Argelaguet, Anatole Lécuyer

IEEE Trans. Vis. Comput. Graph., 2018

2017

Peanut: Personalised Emotional Agent for Neurotechnology User-Training.

Léa Pillette, Camille Jeunet, Boris Mansencal, Roger Nkambou, Bernard N'Kaoua, Fabien Lotte

Proceedings of the From Vision to Reality, 2017

Online Classification accuracy is a Poor Metric to Study Mental imagery-based BCI User Learning: an Experimental Demonstration and New Metrics.

Fabien Lotte, Camille Jeunet

Proceedings of the From Vision to Reality, 2017

Towards a Cognitive Model of MI-BCI User Training.

Camille Jeunet, Bernard N'Kaoua, Fabien Lotte

Proceedings of the From Vision to Reality, 2017

When HCI Meets Neurotechnologies: What You Should Know about Brain-Computer Interfaces.

Jérémy Frey, Jelena Mladenovic, Fabien Lotte, Camille Jeunet, Léa Pillette

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

Towards a spatial ability training to improve Mental Imagery based Brain-Computer Interface (MI-BCI) performance: A Pilot study.

Suzy Teillet, Fabien Lotte, Bernard N'Kaoua, Camille Jeunet

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015

Towards Explanatory Feedback for User Training in Brain-Computer Interfaces.

Julia Schumacher, Camille Jeunet, Fabien Lotte

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Continuous Tactile Feedback for Motor-Imagery Based Brain-Computer Interaction in a Multitasking Context.

Camille Jeunet, Chi Thanh Vi, Daniel Spelmezan, Bernard N'Kaoua, Fabien Lotte, Sriram Subramanian

Proceedings of the Human-Computer Interaction - INTERACT 2015, 2015

Towards improved BCI based on human learning principles.

Fabien Lotte, Camille Jeunet

Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015

2014

Design and Validation of a Mental and Social Stress Induction Protocol - Towards Load-invariant Physiology-based Stress Detection.

Camille Jeunet, Fabien Lotte, Christian Mühl

Proceedings of the PhyCS 2014, 2014