Upper limb amputation is a condition that significantly restricts the amputees from performing
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …

This paper presents a literature review on pattern recognition of electromyography (EMG)
signals and its applications. The EMG technology is introduced and the most relevant …

Integration of surface EMG sensors as an input source for Human Machine Interfaces (HMIs)
is getting an increasing attention due to their application in wearable devices such as …

A bionic hand with fine motor ability could be a favorable option for replacing the human
hand when performing various operations. Myoelectric control has been widely used to …

Whereas pressure sensors increasingly have received attention as a non-invasive interface
for hand gesture recognition, their performance has not been comprehensively evaluated …

Currently, research on gesture recognition systems has been on the rise due to the
capabilities these systems provide to the field of human–machine interaction, however …

Automatic seizure onset detection plays an important role in epilepsy diagnosis. In this
paper, a novel seizure onset detection method is proposed by combining empirical mode …

Background Currently, the typically adopted hand prosthesis surface electromyography
(sEMG) control strategies do not provide the users with a natural control feeling and do not …

Support vector machines (SVMs) are widely used classifiers for detecting physiological
patterns in human–computer interaction (HCI). Their success is due to their versatility …

Upper limb myoelectric prosthetic control is an essential topic in the field of rehabilitation.
The technique controls prostheses using surface electromyogram (sEMG) and intramuscular …