Background With the development of today's technology, and as humans tend to naturally
use hand gestures in their communication process to clarify their intentions, hand gesture …

Neurorobotic devices, such as prostheses, exoskeletons, and muscle stimulators, can partly
restore motor functions in individuals with disabilities, such as stroke, spinal cord injury …

A novel wearable human machine interface based on mechanomyogram (MMG) signals
was presented in this study. A three-axis accelerometer was fixed to a customized watch …

Objective. Muscle network modeling maps synergistic control during complex motor tasks.
Intermuscular coherence (IMC) is key to isolate synchronization underlying coupling in such …

Functional muscle network is a critical concept in describing functional synergistic muscle
synchronization and functional connectivity needed for the execution of complex motor …

Synthesis of non-equidistant location of sensors in sensor network Page 1 MEMSTECH 2018,
18-22 April, 2018, Polyana-Svalyava (Zakarpattya), UKRAINE 204 Synthesis of Non-Equidistant …

One of the most significant tools for Human–Computer Interaction (HCI) is body language,
namely gestures. Therefore, Gesture recognition using Mechanomyography (MMG) for …

This paper presents the current state of an ongoing project for the implementation of a low-
cost bionic hand controller. Research had been conducted to evaluate the possibility of …

A hand gesture recognition system allows for nonverbal communication that is natural,
inventive, and modern. It can be used in a variety of applications involving human-computer …

Our research concerns a hand gesture recognition framework that makes use of a low cost
“off-the-shelf” device. The device is a visual markerless sensor system called the Leap …