Over the last few decades, the advances in disciplines such as neuroscience and
engineering have introduced the brain-computer interface (BCI) as a promising tool for …

Brain computer interface (BCI) is one of the technologies growing at an exponential rate with
its applications extended to medical and non-medical fields. EEG is widely used in BCI for …

The EEG pre-processing steps involve removing noise and artifacts from EEG. The noise
from the main source like electro-oculogram, electrocardiogram, electromyogram and other …

In this research, we describe an actuation and control system designed for geared
electromagnetic motors, which is characterized by its simple implementation, fast response …

Recent evidence demonstrates that with training, one can enhance visual working memory
(VWM) capacity and attention over time in the near transfer tasks. Not only do these studies …

The cognitive Science is the leading technology which works on the principle of
Neuroscience. Human Computer Interface is a challenging approach in neurosciences …

Non-linear Granger Causality (GC) can detect directional influence of signals between
multiple locations through a non-linear predictive approach using Radial Basis Functions …

Objective EEG-based motion trajectory decoding makes a promising approach for
neurotechnology which can be used for neural control of motion reconstruction and …

Abstract Brain Computer Interface (BCI) has attracted many researchers in recent years, in
which one of non-invasive techniques for the BCI issue is Electroencephalography (EEG) …

This study is concerned with analyzing the relationship between jaw imbalance and arm
strength regarding Oxy-Hb concentration changes using functional Near Infrared …