Wearables robots have gained attention for the rehabilitation of people with physical
disabilities. However, the current technology relies on heavy and bulky actuation …

Physical assistive robotics are oriented to support and improve functional capacities of
people. In physical rehabilitation, robots are indeed useful for functional recovery of affected …

In this paper, we present a deep learning framework “Rehab-Net” for effectively classifying
three upper limb movements of the human arm, involving extension, flexion, and rotation of …

Powered exoskeletons can facilitate after-stroke rehabilitation of patients with shoulder
disabilities. Designs using serial mechanisms usually result in complicated and bulky …

In sEMG (surface electromyography) pattern recognition, most of the research focuses on
the static pattern recognition of different limbs, ignoring the importance of changing load …

Background Artificial intelligence (AI) can improve the health and well-being of older adults
and has the potential to assist and improve nursing care. In recent years, research in this …

Disability is defined as a condition of the human body that limits the execution of a task or
activity. According to the World Health Organization (WHO), 15% of the world's population …

Electromyography (EMG) signal is one of the extensively utilised biological signals for
predicting human motor intention, which is an essential element in human-robot …

Robotic rehabilitation devices are more frequently used for the physical therapy of people
with upper limb weakness, which is the most common type of stroke-induced disability …

This paper presents the design of a motion intent recognition system, based on an altitude
signal sensor, to improve the human–robot interaction performance of upper limb …