In recent years, brain-based technologies that capitalise on human abilities to facilitate
human–system/robot interactions have been actively explored, especially in brain robotics …

As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …

The human–machine interface (HMI) previously relied on a single perception interface that
cannot realize three-dimensional (3D) interaction and convenient and accurate interaction in …

Recently, there has been an evolution toward a science-supported medicine, which uses
replicable results from comprehensive studies to assist clinical decision-making. Reliable …

Abstract Purpose of Review Research in assistive and rehabilitation robotics is a growing,
promising, and challenging field emerged due to various social and medical needs such as …

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 In the past decade, there has been substantial progress in the development of
robotic controllers that specify how lower-limb exoskeletons should interact with brain …

As a definition, Human–Machine Interface (HMI) enables a person to interact with a device.
Starting from elementary equipment, the recent development of novel techniques and …

A review of physical and mathematical methods for reconstructing the functional networks of
the brain based on recorded brain activity is presented. Various methods are considered, as …

Electroencephalogram (EEG)-based brain–computer interfaces (BCIs) provide a novel
approach for controlling external devices. BCI technologies can be important enabling …