Increasing demand of using everyday clothing in wearable sensing and display has
synergistically advanced the field of electronic textiles, or e-textiles. A variety of types of e …

Human activity recognition (HAR) has become increasingly popular in recent years due to its
potential to meet the growing needs of various industries. Electromyography (EMG) is …

Swarm-based metaheuristics have shown significant progress in solving different complex
optimization problems, including the parameter identification of linear, as well as nonlinear …

In this paper, a system for force estimation based on surface electromyography signals
measured from the eight channels of the Myo armband is presented. We evaluated nineteen …

Muscle fibers act as a source of force in the human body. The joint actions occur due to
contraction of these muscle fibers controlled by central nervous system (CNS). Surface …

Human force estimation has numerous applications, including biomedical models,
rehabilitation, biomechanical system control, and human-machine interfaces. To enable …

This paper aims to design a smart biosensor to predict electrocardiogram (ECG) signals in a
specific auscultation site from other ECG signals measured from other measurement sites …

The goal of previous efforts has been to create hand prostheses with natural movements.
Researchers have used tools to identify patterns in muscle signals associated with different …

Recent years have seen a great deal of interest in implicit nonlinear systems, which are
used in many different engineering applications. This study is dedicated to presenting a new …

In this article, we present a novel approach: a fractional-order fuzzy observer, an extension
of the Thau-Luenberger observer, specifically designed for nonlinear systems characterized …