SEMG-based control strategy for a hand exoskeleton system / Nicola Secciani.
Secciani, Nicole, author.
2022
RD755 .S43 2022
Available Online

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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
DOI https://doi.org/10.1007/978-3-030-90283-4
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource : illustrations (chiefly color)
Other Standard Identifiers 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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Record Appears in Online Resources > Ebooks
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Introduction
Background: first-stage device
The new control system
Tests and results.

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