83 citations · 334 across the 18 of their papers we have counts for
18 papers
Quantifying Event-Related (De)Synchronization Variability for Brain-Computer Interface: A Unified and Interpretable Framework
Simon Kojima, Fabien Lotte
Objective: Brain-Computer Interfaces (BCIs) enable the control of external devices by decoding user intentions from electroencephalography (EEG). However, substantial EEG variabili…
Towards identifying optimal biased feedback for various user states and traits in motor imagery BCI
Jelena Mladenović, Jeremy Frey, Smeety Pramij +2
Objective. Neural self-regulation is necessary for achieving control over brain-computer interfaces (BCIs). This can be an arduous learning process especially for motor imagery BCI…
Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces
Léa Pillette, Camille Jeunet, Roger N'Kambou +2
Mental Imagery based Brain-Computer Interfaces (MI-BCI) enable their users to control an interface, e.g., a prosthesis, by performing mental imagery tasks only, such as imagining a…
Would Motor-Imagery based BCI user training benefit from more women experimenters?
Aline Roc, Léa Pillette, B. N'Kaoua +1
Mental Imagery based Brain-Computer Interfaces (MI-BCI) are a mean to control digital technologies by performing MI tasks alone. Throughout MI-BCI use, human supervision (e.g., exp…
AI in the media and creative industries
Giuseppe Amato, Malte Behrmann, Frédéric Bimbot +16
Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in…
Active Inference for Adaptive BCI: application to the P300 Speller
Jelena Mladenović, Jérémy Frey, Emmanuel Maby +3
Adaptive Brain-Computer interfaces (BCIs) have shown to improve performance, however a general and flexible framework to implement adaptive features is still lacking. We appeal to…
A generic framework for adaptive EEG-based BCI training and operation
Jelena Mladenović, Jérémie Mattout, Fabien Lotte
There are numerous possibilities and motivations for an adaptive BCI, which may not be easy to clarify and organize for a newcomer to the field. To our knowledge, there has not bee…
The Impact of Flow in an EEG-based Brain Computer Interface
Jelena Mladenović, Jérémy Frey, Manon Bonnet-Save +2
Major issues in Brain Computer Interfaces (BCIs) include low usability and poor user performance. This paper tackles them by ensuring the users to be in a state of immersion, contr…
Scientific Outreach with Teegi, a Tangible EEG Interface to Talk about Neurotechnologies
Jérémy Frey, Renaud Gervais, Thibault Lainé +5
Teegi is an anthropomorphic and tangible avatar exposing a users' brain activity in real time. It is connected to a device sensing the brain by means of electroencephalog-raphy (EE…
Framework for Electroencephalography-based Evaluation of User Experience
Jérémy Frey, Maxime Daniel, Julien Castet +2
Measuring brain activity with electroencephalography (EEG) is mature enough to assess mental states. Combined with existing methods, such tool can be used to strengthen the underst…
TOBE: Tangible Out-of-Body Experience
Renaud Gervais, Jérémy Frey, Alexis Gay +2
We propose a toolkit for creating Tangible Out-of-Body Experiences: exposing the inner states of users using physiological signals such as heart rate or brain activity. Tobe can ta…
Continuous Mental Effort Evaluation during 3D Object Manipulation Tasks based on Brain and Physiological Signals
Dennis Wobrock, Jérémy Frey, Delphine Graeff +3
Designing 3D User Interfaces (UI) requires adequate evaluation tools to ensure good usability and user experience. While many evaluation tools are already available and widely used…
Estimating Visual Comfort in Stereoscopic Displays Using Electroencephalography: A Proof-of-Concept
Jérémy Frey, Aurélien Appriou, Fabien Lotte +1
With stereoscopic displays, a depth sensation that is too strong could impede visual comfort and result in fatigue or pain. Electroencephalography (EEG) is a technology which recor…
Teegi: Tangible EEG Interface
Jérémy Frey, Renaud Gervais, Stéphanie Fleck +2
We introduce Teegi, a Tangible ElectroEncephaloGraphy (EEG) Interface that enables novice users to get to know more about something as complex as brain signals, in an easy, en- gag…
Assessing the Zone of Comfort in Stereoscopic Displays using EEG
Jérémy Frey, Léonard Pommereau, Fabien Lotte +1
The conflict between vergence (eye movement) and accommodation (crystalline lens deformation) occurs in every stereoscopic display. It could cause important stress outside the "zon…
Review of the Use of Electroencephalography as an Evaluation Method for Human-Computer Interaction
Jérémy Frey, Christian Mühl, Fabien Lotte +1
Evaluating human-computer interaction is essential as a broadening population uses machines, sometimes in sensitive contexts. However, traditional evaluation methods may fail to co…
Using Scalp Electrical Biosignals to Control an Object by Concentration and Relaxation Tasks: Design and Evaluation
Laurent George, Fabien Lotte, Raquel Viciana Abad +1
In this paper we explore the use of electrical biosignals measured on scalp and corresponding to mental relaxation and concentration tasks in order to control an object in a video…
Exploring Two Novel Features for EEG-based Brain-Computer Interfaces: Multifractal Cumulants and Predictive Complexity
Nicolas Brodu, Fabien Lotte, Anatole Lécuyer
In this paper, we introduce two new features for the design of electroencephalography (EEG) based Brain-Computer Interfaces (BCI): one feature based on multifractal cumulants, and…