Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

A novel model based on deep learning is proposed to estimate kinematic information for
myoelectric control from multi‐channel electromyogram (EMG) signals. The neural …

Electromyographical (EMG) signals have been frequently used to estimate human muscular
torques. In the field of human-assistive robotics, these methods provide valuable information …

Modern wearable robots are not yet intelligent enough to fully satisfy the demands of end-
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …

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 …

To cultivate professional sports referees, we develop a sports referee training system, which
can recognize whether a trainee wearing the Myo armband makes correct judging signals …

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

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 …

The following work presents an overview of smart sensors and sensor fusion targeted at
biomedical applications and sports areas. In this work, the integration of these areas is …