Currently, the most used method to measure brain activity under a non-invasive procedure is
the electroencephalogram (EEG). This is because of its high temporal resolution, ease of …

Industrial Internet of Things (IIoT) and its applications have seen a paradigm shift since the
advent of artificial intelligence and machine learning. However, these methods are mostly …

Abstract Decryption of Motor Imagery (MI) activity from an Electroencephalogram (EEG) data
is a significant part of the Brain-Computer Interface (BCI) technology that allows motor …

Neurological disease victims may be completely paralyzed and unable to move, but they
may still be able to think. Their brain activity is the only means by which they can interact …

The metaverse is a virtual-world human interaction. Virtual platforms can express human
thoughts or even dreams, at least in the metaverse reality, but there are few restrictions on …

This umbrella review is motivated to understand the shift in research themes on brain‐
computer interfacing (BCI) and it determined that a shift away from themes that focus on …

Abstract Background and Objective The brain-computer interface (BCI) technology acquires
human brain electrical signals, which can be effectively and successfully used to control …

Background Steady state visually evoked potentials (SSVEPs) based early glaucoma
diagnosis requires effective data processing (eg, deep learning) to provide accurate …

The high potential for creating brain-computer interfaces (BCIs) and video games for upper
limb rehabilitation has been demonstrated in recent years. In this work, we describe the …

Brain-Computer Interfaces (BCIs) have great potential for improving the lives of people with
disabilities. The success of a BCI system is largely driven by the accuracy of the BCI …