An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …

Drowsiness is a leading cause of traffic and industrial accidents, costing lives and
productivity. Electroencephalography (EEG) signals can reflect awareness and …

Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …

BACKGROUND. Mental task identification using electroencephalography (EEG) signals is
required for patients with limited or no motor movements. A subject-independent mental task …

Aiming at the existing problems of BCI (brain computer interface), such as single input signal
source, low accuracy of feature recognition, and less output control instructions, this paper …

Wearable robotic systems have shown potential to improve the lives of musculoskeletal
disorder patients; however, to be used practically, they require a reliable method of control …

Delivering health care at home emerged as a key advancement to reduce healthcare costs
and infection risks, as during the SARS-Cov2 pandemic. In particular, in motor training …

Signals provided by the ElectroEncephaloGraphy (EEG) are widely used in Brain-Computer
Interface (BCI) applications. They can be further analyzed and used for thinking activity …

In recent years, there has been an increased interest in using EEG and EMG signals to
classify neuromuscular activity finding applications in BCI and prosthesis device control …

With the increasing number of elderly and disabled people in China, the rehabilitation
exoskeleton, which integrates sensing, control, information and mobile computing …