Upper limb amputation is a condition that significantly restricts the amputees from performing
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …

Stroke remains a leading cause of death and disability in the world. Over the past few
decades our understanding of the pathophysiology of stroke has increased, but greater …

Abstract Recently, Convolutional Neural Networks (CNNs) have been used for the
classification of hand activities from surface Electromyography (sEMG) signals. However …

Hand movement classification based on surface electromyography (sEMG) pattern
recognition is a promising approach for upper limb neuroprosthetic control. However …

Upper-limb amputation imposes significant burden on amputees thereby restricting them
from fully exploring their environments during activities of daily living. The use of intelligent …

An important barrier to commercialization of pattern recognition myoelectric control of
prostheses is the lack of robustness to confounding factors such as electrode shift, skin …

Whereas pressure sensors increasingly have received attention as a non-invasive interface
for hand gesture recognition, their performance has not been comprehensively evaluated …

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 work, we present a systematic review on non-invasive HMIs employing hybrid
wearable sensor modalities for recognition of upper limb intentions. Different combinations …