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sEMG-based Control Strategy for a Hand Exoskeleton System
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sEMG-based Control Strategy for a Hand Exoskeleton System

2022 ed.

Book Details

Format Paperback / Softback
Book Series Springer Theses
ISBN-10 3030902854
ISBN-13 9783030902858
Edition 2022 ed.
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Nov 24th, 2022
Print length 91 Pages
Weight 184 grams
Dimensions 15.50 x 23.50 x 1.20 cms
Ksh 25,200.00
Werezi Extended Catalogue 0 in stock

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This book reports on the design and testing of an sEMG-based control strategy for a fully-wearable low-cost hand exoskeleton. While similar classifier have been widely used for motor intention prediction, their application to wearable device control has been neglected so far.

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.





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