In recent years, hand gesture recognition (HGR) technologies that use electromyography
(EMG) signals have been of considerable interest in developing human–machine interfaces …

Abstract Hand Gesture Recognition (HGR) using electromyography (EMG) signals is a
challenging problem due to the variability and noise in the signals across individuals. This …

Automatic modulation recognition (AMR) is a critical technology in spatial cognitive radio
(SCR), and building high-performance AMR model can achieve high classification accuracy …

Despite its rich history of success in controlling powered prostheses and emerging
commercial interests in ubiquitous computing, myoelectric control continues to suffer from a …

Mobile extended reality (XR) applications are anticipated to generate substantial traffic for
6G. Such applications not only require high data rate and low-latency transmissions, but …

Objective. Chronic motor impairments of arms and hands as the consequence of a cervical
spinal cord injury (SCI) have a tremendous impact on activities of daily life. A considerable …

This study explores the challenge of hand gesture recognition across various limb positions
using a new co-located multimodal armband system incorporating surface …

The augmentation of individuals' quality of life, particularly those with disabilities, can be
achieved through state-of-the-art artificial intelligence solutions. Machine learning …

The analysis of extraocular muscles' activation is crucial for understanding eye movement
patterns, providing insights into oculomotor control, and contributing to advancements in …

The evaluation of systems under non-ideal conditions is a research problem, particularly in
robotic applications for the rehabilitation of people with disabilities. Accordingly, the …