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 …

Today, daily life is composed of many computing systems, therefore interacting with them in
a natural way makes the communication process more comfortable. Human–Computer …

This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …

Currently, electromyographic (EMG) signal gesture recognition is performed with devices of
many channels. Each channel gives a signal that must be filtered and processed, which …

Using surface electromyography (sEMG) signal for efficient recognition of hand gestures has
attracted increasing attention during the last decade, with most previous work being focused …

Offline accuracy has been the preferred performance measure in myoelectric pattern
recognition (MPR) for the prediction of motion volition. In this study, different metrics relating …

Sign languages are developed around the world for hearing-impaired people to
communicate with others who understand them. Different grammar and alphabets limit the …

Electromyography (EMG) has been explored as an HCI input modality following a long
history of success for prosthesis control. While EMG has the potential to address a range of …

Electromyography (EMG) is the resulting electrical signal from muscle activity, commonly
used as a proxy for users' intent in voluntary control of prosthetic devices. EMG signals are …

Myoelectric prostheses help amputees to regain independence and a higher quality of life.
These prostheses are controlled by state-of-the-art electromyography sensors, which use a …