An EMG-based force prediction and control approach for robot-assisted lower limb rehabilitation

Meng, W, Ding, B, Zhou, Z et al. (2 more authors) (2015) An EMG-based force prediction and control approach for robot-assisted lower limb rehabilitation. In: Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 05-08 Oct 2014, San Diego, CA, USA. IEEE , pp. 2198-2203. ISBN 978-1-4799-3840-7

Abstract

Metadata

Authors/Creators:
  • Meng, W
  • Ding, B
  • Zhou, Z
  • Liu, Q
  • Ai, Q
Copyright, Publisher and Additional Information: © 2014 by the Institute of Electrical and Electronics Engineers, Inc. This is an author produced version of a paper published in Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: EMG; force prediction; rehabilitation robot; SVR; impedance control
Dates:
  • Published: March 2015
  • Published (online): 4 December 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Electronic & Electrical Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 26 Jun 2018 15:40
Last Modified: 26 Jun 2018 15:40
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/SMC.2014.6974250

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