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Electroencephalography (EEG)-based Brain-Computer Interfaces

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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Dates and versions

hal-01167515 , version 1 (24-06-2015)

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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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