Myoelectric control is filled with potential to significantly change human–robot interaction
due to the ability to non-invasively measure human motion intent. However, current control …

Surface Electromyography (EMG)-based pattern recognition methods have been
investigated over the past years as a means of controlling upper limb prostheses. Despite …

Integration of surface EMG sensors as an input source for Human Machine Interfaces (HMIs)
is getting an increasing attention due to their application in wearable devices such as …

One of the major problems when dealing with highly dexterous, active hand prostheses is
their control by the patient wearing them. With the advances in mechatronics, building …

This paper is about (self-powered) advanced hand prosthetics and their control via surface
electromyography (sEMG). We hereby introduce to the biorobotics community the first …

Background Surface electromyography (sEMG) signals have been used in numerous
studies for the classification of hand gestures and movements and successfully implemented …

Traditional electromyogram (EMG) pattern recognition does not take into account the effect
of confounding factors, preventing its effective clinical application. In this paper, we …

In this study, we propose a multiuser myoelectric interface that can easily adapt to novel
users. When a user performs different motions (eg, grasping and pinching), different …

Currently, most of the adopted myoelectric schemes for upper limb prostheses do not
provide users with intuitive control. Higher accuracies have been reported using different …

Surface EMGs have been the primary sources for control of prosthetic hands due to their
comfort and naturalness. The recent advances in the development of the prosthetic hands …