Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …

In the field of rehabilitation, the electromyography (EMG) signal plays an important role in
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …

To cultivate professional sports referees, we develop a sports referee training system, which
can recognize whether a trainee wearing the Myo armband makes correct judging signals …

The following work presents an overview of smart sensors and sensor fusion targeted at
biomedical applications and sports areas. In this work, the integration of these areas is …

Myoelectric control has emerged as a promising approach for a wide range of applications,
including controlling limb prosthetics, teleoperating robots and enabling immersive …

Surface electromyogram (sEMG)-based hand gesture recognition for prosthesis or armband
is an important application of the human–machine interface (HMI). However, the …

Advanced myoelectric prosthetic hands are currently limited due to the lack of sufficient
signal sources on amputation residual muscles and inadequate real-time control …

This study delves into decoding hand gestures using surface electromyography (EMG)
signals collected via a precision Myo-armband sensor, leveraging machine learning …

To this day, despite the increasing motor capability of robotic devices, elaborating efficient
control strategies is still a key challenge in the field of humanoid robotic arms. In particular …

The synchronization of the movement between exoskeleton robot and human arm is crucial
for Robot-assisted training (RAT) in upper limb rehabilitation. In this paper, we propose a …