Recently, emotion recognition using low-cost wearable sensors based on
electroencephalogram and blood volume pulse has received much attention. Long short …

BACKGROUND Commercially-made low-cost electroencephalography (EEG) devices have
become increasingly available over the last decade. One of these devices, Emotiv EPOC, is …

Motor Imagery (MI)-based Brain Computer Interface (BCI) system is a potential technology
for active neurorehabilitation of stroke patients by complementing the conventional passive …

In this article, we develop a robust sliding-mode nonlinear predictive controller for brain-
controlled robots with enhanced performance, safety, and robustness. First, the kinematics …

With the majority of brain–computer interface (BCI) research currently restricted to the
controlled settings in labs, there is a growing interest to study the feasibility of BCI …

Brain-computer interface (BCI) provides direct communication and control between the
human brain and physical devices. It is achieved by converting EEG signals into control …

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 …

In electroencephalography, multi-channel electroencephalogram (EEG) signals are usually
utilized to improve classification accuracy. However, a large set of EEG channels increases …

The technique of measuring brain signals or activities by placing electrodes on the scalp of
human beings is called Electroencephalogram (EEG). Brain-computer interface (BCI) is a …

The evoked potential is a neuronal activity that originates when a stimulus is presented. To
achieve its detection, various techniques of brain signal processing can be used. One of the …