The use of power assistive devices that use surface electromyography (SEMG) signals may
be limited by the noisy nature of SEMG signals. The aim of this study was to investigate the …

Electromyographical (EMG) signals have been frequently used to estimate human muscular
torques. In the field of human-assistive robotics, these methods provide valuable information …

The increasing trend of development of assistive technology allows for the use of assistive
robots such as power assist devices to be prevalent in various social domains. Such power …

Automatic and accurate identification of elbow angle from surface electromyogram (sEMG) is
essential for myoelectric controlled upper limb exoskeleton systems. This requires …

Position tracking and control using bioelectric signals are emerging as promising
techniques. Surface electromyographic (EMG) signals are being researched for tracking …

We developed an upper-limb power-assist exoskeleton actuated by pneumatic muscles. The
exoskeleton included two metal links: a nylon joint, four size-adjustable carbon fiber bracers …

The electromyographic signals abbreviated as EMG, represent the amount of electrical
potential generated by the muscle cells when they contract or when they are at rest …

The design of a natural and a synergistic interface is essential to improve the human
performance in a telemanipulation or a Virtual Reality (VR) system. Bio-electric signals, such …

Electromyography (EMG) has been frequently proposed as the driving signal for controlling
powered exoskeletons. Lot of effort has been spent to design accurate algorithms for …

The surface electromyography (sEMG)-based human joint torque estimation algorithm has
shown a great potential in the human-computer interaction function. Human elbow joint …