Electroencephalography (EEG)-based Brain-Computer Interfaces

Fabien Lotte 1, 2 Laurent Bougrain 3, 4, 5 Maureen Clerc 6
2 Potioc - Popular interaction with 3d content
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest
5 NEUROSYS - Analysis and modeling of neural systems by a system neuroscience approach
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
6 ATHENA - Computational Imaging of the Central Nervous System
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Brain-Computer Interfaces (BCI) are systems that can translate the brain activity patterns of a user into messages or commands for an interactive application. The brain activity which is processed by the BCI systems is usually measured using Electroencephalography (EEG). In this article, we aim at providing an accessible and up-to-date overview of EEG-based BCI, with a main focus on its engineering aspects. We notably introduce some basic neuroscience background, and explain how to design an EEG-based BCI, in particular reviewing which signal processing, machine learning, software and hardware tools to use. We present Brain Computer Interface applications, highlight some limitations of current systems and suggest some perspectives for the field.
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Fabien Lotte, Laurent Bougrain, Maureen Clerc. Electroencephalography (EEG)-based Brain-Computer Interfaces. Wiley Encyclopedia of Electrical and Electronics Engineering, Wiley, pp.44, 2015, ⟨10.1002/047134608X.W8278⟩. ⟨hal-01167515⟩

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