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sEMG-based Control Strategy for a Hand Exoskeleton System

  • Book
  • © 2022

Overview

Authors:
  1. Nicola Secciani

    1. Department of Industrial Engineering, University of Florence, Florence, Italy

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  • Nominated as an outstanding thesis by the University of Florence, Italy
  • Describes an innovative sEMG classifier applied to the control of hand exoskeleton systems
  • Reports on the design of a low-cost, user-friendly hand exoskeleton system

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Introduction

    • Nicola Secciani
    Pages 1-13

  3. Background: First-Stage Device

    • Nicola Secciani
    Pages 15-27

  4. The New Control System

    • Nicola Secciani
    Pages 29-72

  5. Tests and Results

    • Nicola Secciani
    Pages 73-87

  6. Conclusions

    • Nicola Secciani
    Pages 89-90

  7. Back Matter

    Pages 91-91
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Keywords

About this book

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.






Authors and Affiliations

  • Department of Industrial Engineering, University of Florence, Florence, Italy

    Nicola Secciani

About the author


Bibliographic Information

  • Book Title: sEMG-based Control Strategy for a Hand Exoskeleton System

  • Authors: Nicola Secciani

  • Series Title: Springer Theses

  • DOI: https://doi.org/10.1007/978-3-030-90283-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-90282-7Published: 23 November 2021

  • Softcover ISBN: 978-3-030-90285-8Published: 24 November 2022

  • eBook ISBN: 978-3-030-90283-4Published: 22 November 2021

  • Series ISSN: 2190-5053

  • Series E-ISSN: 2190-5061

  • Edition Number: 1

  • Number of Pages: XVIII, 91

  • Number of Illustrations: 9 b/w illustrations, 37 illustrations in colour

  • Topics: Biomedical Engineering and Bioengineering, Robotics and Automation, User Interfaces and Human Computer Interaction

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