Objectives The availability of large and varied Electroencephalogram (EEG) datasets,
rapidly advances and inventions in deep learning techniques, and highly powerful and …

This paper provides a comprehensive overview of the state-of-the-art in brain–computer
interfaces (BCI). It begins by providing an introduction to BCIs, describing their main …

A brain-computer interface (BCI) affords real-time communication, significantly improving the
quality of lifecycle, brain-to-internet (B2I) connectivity, and communication between the brain …

Objective. Brain-controlled robotic arms have shown broad application prospects with the
development of robotics, science and information decoding. However, disadvantages, such …

Human–Machine Interface (HMI) plays a key role in the interaction between people and
machines, which allows people to easily and intuitively control the machine and immersively …

In this paper, we propose simultaneous and sequential hybrid brain-computer interfaces
(hBCIs) that incorporate electroencephalography (EEG) and electromyography (EMG) …

Brain-computer interface (BCI) for robotic arm control has been studied to improve the life
quality of people with severe motor disabilities. There are still challenges for robotic arm …

Brain–computer interface (BCI) is a typical direction of integration of human intelligence and
robot intelligence. Shared control is an essential form of combining human and robot agents …

Objective: A brain-computer interface (BCI) can be used to translate neuronal activity into
commands to control external devices. However, using noninvasive BCI to control a robotic …

Brain–computer interfaces (BCIs) based on electroencephalogram (EEG) have recently
attracted increasing attention in virtual reality (VR) applications as a promising tool for …