Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …

Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …

Understanding the solid biomechanics of the human body is important to the study of
structure and function of the body, which can have a range of applications in health care …

Due to the couplings among joint-relative muscles, it is a challenge to accurately estimate
continuous multi-joint movements from multi-channel sEMG signals. Traditional approaches …

An exoskeleton robot is a mechanical structure that integrates with the exterior of the human
body to improve the wearer's muscular power. The key to ensure performances and comfort …

Intelligent construction is an important construction trend. With the growing number of
intelligent autonomous systems implemented in the construction area, understanding and …

Recognizing human hand grasp movements through surface electromyogram (sEMG) is a
challenging task. In this paper, we investigated nonlinear measures based on recurrence …

Human motion intention recognition is a key to achieve perfect human‐machine
coordination and wearing comfort of wearable robots. Surface electromyography (sEMG), as …

This paper proposes an approach for variable admittance control in human–robot
collaboration depending on the online training of neural network. The virtual inertia is an …

The continuous control of rehabilitation robots based on surface electromyography (sEMG)
is a natural control strategy that can ensure human safety and ease the discomfort of human …