One of the hottest topics in rehabilitation robotics is that of proper control of prosthetic
devices. Despite decades of research, the state of the art is dramatically behind the …

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 …

Myoelectric control offers a direct interface between human intent and various robotic
applications through recorded muscle activity. Traditional control schemes realize this …

The aim of this study is to establish the effect of task-oriented video gaming on using a
myoelectric prosthesis in a basic activity of daily life (ADL). Forty-one able-bodied right …

Human machine interface (HMI) based on surface electromyography (sEMG) promises to
provide an intuitive and noninvasive way to interact with peripheral equipments, such as …

The surface electromyography (sEMG) signals contain a large amount of physiological
information reflecting the body's motor intention. The use of sEMG signals for gesture …

Background Current myoelectric prostheses are multi-articulated and offer multiple modes.
Switching between modes is often done through pre-defined myosignals, so-called triggers …

Motor learning mediated by motor training has in the past been explored for rehabilitation.
Myoelectric interfaces together with exoskeletons allow patients to receive real-time …

Myoelectric control has seen decades of research as a potential interface between human
and machines. High-density surface electromyography (HDsEMG) non-invasively provides a …