ABSTRACT A decade ago, a group of researchers from academia and industry identified a
dichotomy between the industrial and academic state-of-the-art in upper-limb prosthesis …

Post-surgical treatments of the human throat often require continuous monitoring of diverse
vital and muscle activities. However, wireless, continuous monitoring and analysis of these …

Designing efficient and labor-saving prosthetic hands requires powerful hand gesture
recognition algorithms that can achieve high accuracy with limited complexity and latency. In …

This work is motivated by the recent advances in Deep Neural Networks (DNNs) and their
widespread applications in human-machine interfaces. DNNs have been recently used for …

在基于表面肌电信号(Surface electromyography, sEMG) 的意图识别研究领域,
目前大多数的研究主要集中在提高肌电识别的准确性方面. 然而, 在实际应用中, 基于sEMG …

Neural interfacing is essential for advancing our fundamental understanding of movement
neurophysiology and for developing human-machine interaction systems. This can be …

Muscle electrophysiology has emerged as a powerful tool to drive human machine
interfaces, with many new recent applications outside the traditional clinical domains, such …

Recently the use of high-density electromyogram (HD-EMG) signal acquisition setups has
been promoted for myoelectric control and several databases have been made open access …

Gait phases are widely used in exoskeleton movement control. Surface electromyography
(sEMG) is predictive and plays an important role in gait phase recognition. The purpose of …

Surface electromyography (sEMG) signals have been used for advanced prosthetics control,
hand-gesture recognition (HGR), and more recently as a novel biometric trait. For these …