Brain computer interface technology represents a highly growing field of research with
application systems. Its contributions in medical fields range from prevention to neuronal …

EEG-based brain-controlled mobile robots can serve as powerful aids for severely disabled
people in their daily life, especially to help them move voluntarily. In this paper, we provide a …

Motor‐activity‐related mental tasks are widely adopted for brain‐computer interfaces (BCIs)
as they are a natural extension of movement intention, requiring no training to evoke brain …

Background An uninterrupted channel of communication and control between the human
brain and electronic processing units has led to an increased use of Brain Computer …

The last decade has seen a flowering of applications driven by brain–machine interfaces
(BMIs), particularly brain-actuated robotic devices designed to restore the independence of …

Abstract Human–Machine Interfaces can be very useful to improve the quality of life of
physically impaired users. In this work, a non-invasive spontaneous Brain–Machine …

There is a significant progress in the development of brain-controlled mobile robots and
robotic arms in the recent years. New advances in electroencephalography (EEG) …

This paper describes the Brainput system, which learns to identify brain activity patterns
occurring during multitasking. It provides a continuous, supplemental input stream to an …

Electroencephalogram (EEG) signal generated by the brain's spontaneous recording of
electrical activity is often utilized in diagnosis for brain disorders and also employed in …

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 …