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 …

Robot-assisted rehabilitation, which can provide repetitive, intensive, and high-precision
physics training, has a positive influence on the motor function recovery of stroke patients …

Sign Language Recognition (SLR) system is a method which allow deaf people to
communicate with society. In this study, Real-Time Sign Language recognition system was …

Human activity recognition (HAR) is essential in many health-related fields. A variety of
technologies based on different sensors have been developed for HAR. Among them, fusion …

This paper focuses on identification of an effective pattern recognition scheme with the least
number of time domain features for dexterous control of prosthetic hand to recognize the …

Sign Language Recognition (SLR) system is a novel method that allows hard of hearing
people to communicate with society. In this study, an American Sign Language (ASL) …

Proportional myoelectric control has been proposed for user-friendly interaction with
prostheses, orthoses, and new human-machine interfaces. Recent research has stressed …

Surface electromyogram (sEMG) signals have been used to control multifunctional
prosthetic hands. Researchers usually focused on the use of several channels with sEMG …

Myoelectric controlled interfaces have become a research interest for use in advanced
prostheses, exoskeletons, and robot teleoperation. Current research focuses on improving a …

Electromyography (EMG) signals provide significant information of muscle activity that may
be used, among others, to estimate the activation stages during a certain activity or to predict …