Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

In this paper, hybrid brain-computer interface (hBCI) technologies for improving
classification accuracy and increasing the number of commands are reviewed. Hybridization …

Abstract Brain Computer Interface (BCI) is defined as a combination of hardware and
software that allows brain activities to control external devices or even computers. The …

This study explores neuroplasticity through the use of virtual reality (VR) and brain–
computer interfaces (BCIs). Neuroplasticity is the brain's ability to reorganize itself by forming …

Increasing number of research activities and different types of studies in brain‐computer
interface (BCI) systems show potential in this young research area. Research teams have …

Modern wearable robots are not yet intelligent enough to fully satisfy the demands of end-
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …

Brain–computer interface (BCI) technology has been studied with the fundamental goal of
hel** disabled people communicate with the outside world using brain signals. In …

This study presents a novel human-machine interface (HMI) based on both
electrooculography (EOG) and electroencephalography (EEG). This hybrid interface works …

This paper presents an important step forward towards increasing the independence of
people with severe motor disabilities, by using brain-computer interfaces to harness the …

BACKGROUND: Motor paralysis after stroke has devastating consequences for the patients,
families and caregivers. Although therapies have improved in the recent years, traditional …