Muscle fatigue is an established area of research and various types of muscle fatigue have
been investigated in order to fully understand the condition. This paper gives an overview of …

Surface EMG-based gestures recognition systems are helping the disable to enjoy a better
life. Academic institutes and commercial companies have been developing a lot of sEMG …

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

In this work, an attempt has been made to differentiate surface electromyography (sEMG)
signals under muscle fatigue and non-fatigue conditions with multiple time window (MTW) …

Objective: Several features of the surface electromyography (sEMG) signal are related to
muscle activity and fatigue. However, the time-evolution of these features are non-stationary …

In order to reduce the gap between the laboratory environment and actual use in daily life of
human-machine interaction based on surface electromyogram (sEMG) intent recognition …

Muscle fatigue represents a complex physiological and psychological phenomenon that
impairs physical performance and increases the risks of injury. It is important to continuously …

Fatigue increases the risk of injury during sports training and rehabilitation. Early detection
of fatigue during exercises would help adapt the training in order to prevent over-training …

Using biosignals through electromyography (EMG) and rendering them as feedback for
hands-free interaction finally migrates to engaging virtual reality (VR) experiences for health …

Fatigue influences the way a training exercise is performed and alters the kinematics of the
movement. Monitoring the increase of fatigue during rehabilitation and sport exercises is …