Pattern recognition of electromyography (EMG) signals can potentially improve the
performance of myoelectric control for upper limb prostheses with respect to current clinical …

High value manufacturing systems still require ergonomically intensive manual activities.
Examples include the aerospace industry where the fitting of pipes and wiring into confined …

Surface electromyography (sEMG) armband-based gesture recognition is an active research
topic that aims to identify hand gestures with a single row of sEMG electrodes. As a typical …

Neuromotor rehabilitation and recovery of upper limb functions are essential to improve the
life quality of patients who have suffered injuries or have pathological sequels, where it is …

Virtual rehabilitation has been used during decades to provide a more personalized,
controlled, and enjoyable experience on upper-limb motor rehabilitation. Since novel virtual …

The surface electromyogram (sEMG) contains a wealth of motion information, which can
reflect user's muscle motion intentions. The decoding based on sEMG has been widely used …

Virtual Reality (VR) video games have become popular in recent years with the emergence
of a wide variety of enhanced VR hardware systems. Typically, current VR video games …

Physical rehabilitation has been widely used to restore or maintain motor capabilities of
patients with upper-limb mobility limitations. Despite its effectiveness, physical rehabilitation …

This article presents a comparative study for recognition hand gesture between Naïve Bayes
and Neural Network (NN) methods for electromyography signals (EMG). EMG signals are …

Optimization of the temporal aspects of task design requires a better understanding of the
development of muscle fatigue over time. The study was aimed to use wearable devices to …