SEMG-based control strategy for a hand exoskeleton system / Nicola Secciani.
2022
RD755 .S43 2022
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Unlimited
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Can lend chapters, not whole ebooks
Details
Title
SEMG-based control strategy for a hand exoskeleton system / Nicola Secciani.
Author
Secciani, Nicole, author.
ISBN
9783030902834 (electronic bk.)
3030902838 (electronic bk.)
9783030902827
303090282X
3030902838 (electronic bk.)
9783030902827
303090282X
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color)
Item Number
10.1007/978-3-030-90283-4 doi
Call Number
RD755 .S43 2022
Dewey Decimal Classification
681/.761
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.
Note
"Doctoral thesis accepted by University of Florence, Italy."
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 6, 2021).
Series
Springer theses. 2190-5061
Available in Other Form
SEMG-based control strategy for a hand exoskeleton system.
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Online Access
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Table of Contents
Introduction
Background: first-stage device
The new control system
Tests and results.
Background: first-stage device
The new control system
Tests and results.