sEMG-based Control Strategy for a Hand Exoskeleton System

Explore the innovative world of wearable technology with sEMG-based Control Strategy for a Hand Exoskeleton System by Nicola Secciani. Published by Springer Nature Switzerland AG in 2022, this insightful paperback spans 91 pages, detailing the design and testing of a state-of-the-art sEMG-based control strategy for a fully-wearable, low-cost hand exoskeleton.

Secciani's work addresses a significant gap in the field, as similar classifiers have been extensively utilized for motor intention prediction, yet their application in controlling wearable devices has been largely overlooked. This book is essential for researchers, engineers, and enthusiasts interested in advancements in assistive technology and robotics. Discover how this cutting-edge approach can enhance mobility and independence for users, making it a must-read for anyone passionate about the future of human-robot interaction.