Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …

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 …

Hand prostheses controlled by surface electromyography are promising due to the non-
invasive approach and the control capabilities offered by machine learning. Nevertheless …

Specialized myoelectric sensors have been used in prosthetics for decades, but, with recent
advancements in wearable sensors, wireless communication and embedded technologies …

Feature extraction is a significant method to extract the useful information which is hidden in
surface electromyography (EMG) signal and to remove the unwanted part and interferences …

This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …

Hand gesture-based systems are one of the most effective technological advances and
continue to develop with improvements in the field of human–computer interaction. Surface …

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 …

The myoelectric interfaces are being used in rehabilitation technology, assistance and as an
input device. This review focuses on an insightful analysis of the data acquisition system of …

In the current development and design of sports rehabilitation equipment or biomimetic
prostheses, in addition to pay attention to the development and design of the structure, the …