A review of classification algorithms for EEG-based brain–computer interfaces

F Lotte, M Congedo, A Lécuyer… - Journal of neural …, 2007 - iopscience.iop.org
In this paper we review classification algorithms used to design brain–computer interface
(BCI) systems based on electroencephalography (EEG). We briefly present the commonly …

Alternative communication systems for people with severe motor disabilities: a survey

CG Pinheiro, ELM Naves, P Pino, E Losson… - Biomedical engineering …, 2011 - Springer
We have now sufficient evidence that using electrical biosignals in the field of Alternative
and Augmented Communication is feasible. Additionally, they are particularly suitable in the …

Flaws in current human training protocols for spontaneous brain-computer interfaces: lessons learned from instructional design

F Lotte, F Larrue, C Mühl - Frontiers in human neuroscience, 2013 - frontiersin.org
While recent research on Brain-Computer Interfaces (BCI) has highlighted their potential for
many applications, they remain barely used outside laboratories. The main reason is their …

Brain-computer interfaces, virtual reality, and videogames

A Lécuyer, F Lotte, RB Reilly, R Leeb, M Hirose… - Computer, 2008 - ieeexplore.ieee.org
Major challenges must be tackled for brain-computer interfaces to mature into an
established communications medium for VR applications, which will range from basic …

Tools for brain-computer interaction: a general concept for a hybrid BCI

GR Müller-Putz, C Breitwieser, F Cincotti… - Frontiers in …, 2011 - frontiersin.org
The aim of this work is to present the development of a hybrid Brain-Computer Interface
(hBCI) which combines existing input devices with a BCI. Thereby, the BCI should be …

UMA-BCI speller: an easily configurable P300 speller tool for end users

F Velasco-Álvarez, S Sancha-Ros… - Computer methods and …, 2019 - Elsevier
Abstract Background and Objective Some neurodegenerative conditions can severely limit
patients' capability to communicate because of the loss of muscular control. Brain-computer …

Standardization of protocol design for user training in EEG-based brain–computer interface

J Mladenović - Journal of Neural Engineering, 2021 - iopscience.iop.org
Brain–computer interfaces (BCIs) are systems that enable a person to interact with a
machine using only neural activity. Such interaction can be non-intuitive for the user hence …

An online data visualization feedback protocol for motor imagery-based BCI training

X Duan, S **e, X **e, K Obermayer, Y Cui… - Frontiers in human …, 2021 - frontiersin.org
Brain–computer interface (BCI) has developed rapidly over the past two decades, mainly
due to advancements in machine learning. Subjects must learn to modulate their brain …