A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals

A Bashashati, M Fatourechi, RK Ward… - Journal of Neural …, 2007 - iopscience.iop.org
Brain–computer interfaces (BCIs) aim at providing a non-muscular channel for sending
commands to the external world using the electroencephalographic activity or other …

Brain–computer interface games based on consumer-grade EEG Devices: A systematic literature review

GAM Vasiljevic, LC De Miranda - International Journal of Human …, 2020 - Taylor & Francis
ABSTRACT Brain–Computer Interfaces (BCIs) are specialized systems that allow users to
control computer applications using their brain waves. With the advent of consumer-grade …

BCI demographics: How many (and what kinds of) people can use an SSVEP BCI?

B Allison, T Luth, D Valbuena… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
Brain-computer interface (BCI) systems enable communication without movement. It is
unclear why some BCI approaches or parameters are less effective with some users. This …

Towards an independent brain–computer interface using steady state visual evoked potentials

BZ Allison, DJ McFarland, G Schalk, SD Zheng… - Clinical …, 2008 - Elsevier
OBJECTIVE: Brain–computer interface (BCI) systems using steady state visual evoked
potentials (SSVEPs) have allowed healthy subjects to communicate. However, these …

An analysis of performance evaluation for motor-imagery based BCI

E Thomas, M Dyson, M Clerc - Journal of neural engineering, 2013 - iopscience.iop.org
In recent years, numerous brain–computer interfaces (BCIs) based on motor-imagery have
been proposed which incorporate features such as adaptive classification, error detection …

Channel selection and feature projection for cognitive load estimation using ambulatory EEG

T Lan, D Erdogmus, A Adami… - Computational …, 2007 - Wiley Online Library
We present an ambulatory cognitive state classification system to assess the subject′ s
mental load based on EEG measurements. The ambulatory cognitive state estimator is …

EEG-based synchronized brain-computer interfaces: A model for optimizing the number of mental tasks

J Kronegg, G Chanel… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
The information-transfer rate (ITR) is commonly used to assess the performance of brain-
computer interfaces (BCIs). Various studies have shown that the optimal number of mental …

Assessing fit of nontraditional assistive technologies

AB Randolph, MM Moore Jackson - ACM Transactions on Accessible …, 2010 - dl.acm.org
There is a variety of brain-based interface methods which depend on measuring small
changes in brain signals or properties. These methods have typically been used for …

Emerging therapeutic enhancement enabling health technologies and their discourses: What is discussed within the health domain?

G Wolbring, L Diep, S Yumakulov, N Ball, V Leopatra… - Healthcare, 2013 - mdpi.com
So far, the very meaning of health and therefore, treatment and rehabilitation is
benchmarked to the normal or species-typical body. We expect certain abilities in members …

Continuous control paradigms for direct brain interfaces

M Moore Jackson, R Mappus, E Barba… - … Interaction Methods and …, 2009 - Springer
Abstract Direct Brain Interfaces (DBIs) offer great possibilities for people with severe
disabilities to communicate and control their environments. However, many DBI systems …