The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare
sector. The branch of IoT dedicated towards medical science is at times termed as …

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 …

Brain-computer interface (BCI) technology shows potential for application to motor
rehabilitation therapies that use neural plasticity to restore motor function and improve …

Hand grasping is a sophisticated motor task that has received much attention by the
neuroscientific community, which demonstrated how grasping activates a network involving …

Multimodal data fusion (MMDF) is the process of combining disparate data streams (of
different dimensionality, resolution, type, etc.) to generate information in a form that is more …

Many studies use surface electromyogram (sEMG) signals to estimate the joint angle, for
control of upper-limb exoskeletons and prostheses. However, several practical factors still …

Assistive devices, like exoskeletons or orthoses, often make use of physiological data that
allow the detection or prediction of movement onset. Movement onset can be detected at the …

In the past, robots were primarily used to perform work that was either too hard, too
dangerous or simply too repetitive for humans, eg, assembly line work, or work that could be …

A current trend in the development of assistive devices for rehabilitation, for example
exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality …

Assistive robot manipulators help people with upper motor impairments perform tasks by
themselves. However, teleoperating a robot to perform complex tasks is difficult. Shared …