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 …

Electroencephalography (EEG) signals have great impact on the development of assistive
rehabilitation devices. These signals are used as a popular tool to investigate the functions …

In recent years, sEMG (surface electromyography) signals have been increasingly used to
operate wearable devices. The development of mechanical lower limbs or exoskeletons …

As a definition, Human–Machine Interface (HMI) enables a person to interact with a device.
Starting from elementary equipment, the recent development of novel techniques and …

Robot-assisted rehabilitation has become a new mainstream trend for the treatment of stroke
patients with movement disability. Pneumatic muscle (PM) is one of the most promising …

In recent years, myoelectric control systems have emerged for upper limb wearable robotic
exoskeletons to provide movement assistance and/or to restore motor functions in people …

Electromyography (EMG) is an integral part of many biomedical and healthcare applications.
It has been used as a metric for tracking rehabilitation progress and identifying diseases that …

This paper reviews model-based and model-free approaches for continuous prediction of
human joint motion using surface electromyography (EMG) signals. The review focuses on …

As surface electromyogram (sEMG) signals have the ability to detect human movement
intention, they are commonly used to be control inputs. However, gait sub-phase …