As a general and rigid mathematical tool, wavelet theory has found many applications and is
constantly developing. This article reviews the development history of wavelet theory, from …

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 …

Myoelectric signals (MES) have been used in various applications, in particular, for
identification of user intention to potentially control assistive devices for amputees, orthotic …

Gesture recognition using sparse multichannel surface electromyography (sEMG) is a
challenging problem, and the solutions are far from optimal from the point of view of muscle …

This manuscript presents a hybrid study of a comprehensive review and a systematic
(research) analysis. Myoelectric control is the cornerstone of many assistive technologies …

In this paper, a parallel network based on hand detection and body pose estimation is
proposed to detect and distinguish human's right and left hands. The network is employed …

Myoelectric pattern recognition (MPR) to decode limb movements is an important
advancement regarding the control of powered prostheses. However, this technology is not …

High-density surface electromyography (HD-sEMG) and deep learning technology are
becoming increasingly used in gesture recognition. Based on electrode grid data …

Gesture recognition for myoelectric prosthesis control utilizing sparse multichannel surface
Electromyography (sEMG) is a challenging task, and from a Muscle-Computer Interface …

Surface electromyography (sEMG) is a promising technology that can capture muscle
activation signals to control robots through novel human–machine interfaces (HMIs). This …