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Book Cover
E-book
Author Secciani, Nicole, author

Title SEMG-based control strategy for a hand exoskeleton system / Nicola Secciani
Published Cham : Springer, [2022]
©2022

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Description 1 online resource : illustrations (chiefly color)
Series Springer theses, 2190-5061
Springer theses. 2190-5061
Contents Introduction -- Background: first-stage device -- The new control system -- Tests and results
Summary This book reports on the design and testing of an sEMG-based control strategy for a fully-wearable low-cost hand exoskeleton. It describes in detail the modifications carried out to the electronics of a previous prototype, covering in turn the implementation of an innovative sEMG classifier for predicting the wearer's motor intention and driving the exoskeleton accordingly. While similar classifier have been widely used for motor intention prediction, their application to wearable device control has been neglected so far. Thus, this book fills a gap in the literature providing readers with extensive information and a source of inspiration for the future design and control of medical and assistive devices
Notes "Doctoral thesis accepted by University of Florence, Italy."
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed December 6, 2021)
Subject Robotics in medicine.
Self-help devices for people with disabilities.
Robotic exoskeletons.
Self-Help Devices
Exoskeleton Device
Robotic exoskeletons
Robotics in medicine
Self-help devices for people with disabilities
Form Electronic book
ISBN 9783030902834
3030902838