EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges

Padfield, Natasha; Zabalza, Jaime; Zhao, Huimin; Masero, Valentín; Ren, Jinchang

doi:10.3390/s19061423

Public

EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges

Published in Sensors • Mar 22, 2019

Authors:

Natasha Padfield

Jaime Zabalza

Huimin Zhao

Abstract

Electroencephalography (EEG)-based brain-computer interfaces (BCIs), particularly those using motor-imagery (MI) data, have the potential to become groundbreaking technologies in both clinical and entertainment settings. MI data is generated when a subject imagines the movement of a limb. This paper...

Subject

Brain–computer interface

Motor imagery

Electroencephalography

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