The aim of this article is to explore a paradigm shift on Brain Computer Interface (BCI)
research, as well as on intervention best practices for training and rehabilitation of students …

Brain-computer interfaces (BCIs) and basic computer games have been interconnected
since BCI development began, exploiting gameplay elements as a means of enhancing …

This paper presents a systematic review of electroencephalography (EEG)-based brain–
computer interfaces (BCIs) used in the video games, a vibrant field of research that touches …

Objective. Deep learning (DL) models have been proven to be effective in decoding motor
imagery (MI) signals in Electroencephalogram (EEG) data. However, DL models' success …

The last decade has seen a flowering of applications driven by brain–machine interfaces
(BMIs), particularly brain-actuated robotic devices designed to restore the independence of …

Passive brain-computer interaction (BCI) can provide useful information to understand a
user's state and anticipate intentions, which is needed to support adaptivity and …

Although brain‐computer interface technology is mainly designed with disabled people in
mind, it can also be beneficial to healthy subjects, for example, in gaming or virtual reality …

Brain-computer interfaces (BCIs) not only can allow individuals to voluntarily control external
devices, helping to restore lost motor functions of the disabled, but can also be used by …

The most popular noninvasive Brain Robot Interaction (BRI) technology uses the
electroencephalogram‐(EEG‐) based Brain Computer Interface (BCI), to serve as an …

Sensor-level human brain activity is studied during real and imaginary motor execution
using functional near-infrared spectroscopy (fNIRS). Blood oxygenation and deoxygenation …