A survey on measuring cognitive workload in human-computer interaction

T Kosch, J Karolus, J Zagermann, H Reiterer… - ACM Computing …, 2023 - dl.acm.org
The ever-increasing number of computing devices around us results in more and more
systems competing for our attention, making cognitive workload a crucial factor for the user …

[HTML][HTML] Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review

M Rashid, N Sulaiman, A PP Abdul Majeed… - Frontiers in …, 2020 - frontiersin.org
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not only …

[HTML][HTML] Brain computer interfaces, a review

LF Nicolas-Alonso, J Gomez-Gil - sensors, 2012 - mdpi.com
A brain-computer interface (BCI) is a hardware and software communications system that
permits cerebral activity alone to control computers or external devices. The immediate goal …

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 …

[HTML][HTML] P300 brain computer interface: current challenges and emerging trends

R Fazel-Rezai, BZ Allison, C Guger… - Frontiers in …, 2012 - frontiersin.org
A brain-computer interface (BCI) enables communication without movement based on brain
signals measured with electroencephalography (EEG). BCIs usually rely on one of three …

[图书][B] Complex-valued neural networks

A Hirose - 2006 - Wiley Online Library
Complex-valued neural networks Complex-Valued Neural Networks Page 2 IEEE Press 445
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …

An efficient P300-based brain–computer interface for disabled subjects

U Hoffmann, JM Vesin, T Ebrahimi… - Journal of Neuroscience …, 2008 - Elsevier
A brain–computer interface (BCI) is a communication system that translates brain-activity
into commands for a computer or other devices. In other words, a BCI allows users to act on …

Toward enhanced P300 speller performance

DJ Krusienski, EW Sellers, DJ McFarland… - Journal of neuroscience …, 2008 - Elsevier
This study examines the effects of expanding the classical P300 feature space on the
classification performance of data collected from a P300 speller paradigm [Farwell LA …

[HTML][HTML] PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data

M Hanke, YO Halchenko, PB Sederberg, SJ Hanson… - Neuroinformatics, 2009 - Springer
Decoding patterns of neural activity onto cognitive states is one of the central goals of
functional brain imaging. Standard univariate fMRI analysis methods, which correlate …

A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces

M Kaya, MK Binli, E Ozbay, H Yanar, Y Mishchenko - Scientific data, 2018 - nature.com
Recent advancements in brain computer interfaces (BCI) have demonstrated control of
robotic systems by mental processes alone. Together with invasive BCI …