[HTML][HTML] User evaluation of a shared robot control system combining bci and eye tracking in a portable augmented reality user interface

A Dillen, M Omidi, F Ghaffari, O Romain… - Sensors, 2024 - mdpi.com
This study evaluates an innovative control approach to assistive robotics by integrating brain–
computer interface (BCI) technology and eye tracking into a shared control system for a …

Cognitive Load Estimation Using a Hybrid Cluster-based Unsupervised Machine Learning Technique

I Hassan, M Zolezzi, H Khalil, R Mohmood… - IEEE …, 2024 - ieeexplore.ieee.org
The increasing prevalence of non-invasive, portable Electroencephalography (EEG)
sensors for neuro-physiological measurements has propelled EEG-based assessments of …

Multiclass Classification of Visual Electroencephalogram Based on Channel Selection, Minimum Norm Estimation Algorithm, and Deep Network Architectures

T Mwata-Velu, E Zamora, JI Vasquez-Gomez… - Sensors, 2024 - mdpi.com
This work addresses the challenge of classifying multiclass visual EEG signals into 40
classes for brain–computer interface applications using deep learning architectures. The …

EEG-Visual Multiclass Classification Based on a Channel Selection, MNE Algorithm and Deep Network Architectures

E Zamora, JI Vasquez-Gomez, J Ruiz-Pinales… - 2024 - preprints.org
This work addresses the challenge of EEG visual multiclass classification into 40 classes for
Brain-Computer interface applications, by using deep learning architectures. The visual …

[PDF][PDF] UNIVERSITY OF PETROȘANI

ESD ROȘCA - upet.ro
A brain-computer interface (BCI) is a hardware and software-based communication system
that allows a computer or external device to be controlled solely on the basis of brain activity …