A Feasibility Study of Robot-Assisted Ankle Training Triggered by Combination of SSVEP Recognition and Motion Characteristics

Zeng, X, Zhu, G, Li, P et al. (3 more authors) (2018) A Feasibility Study of Robot-Assisted Ankle Training Triggered by Combination of SSVEP Recognition and Motion Characteristics. In: 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE/ASME AIM 2018, 09-12 Jul 2018, Auckland, New Zealand. IEEE , pp. 1246-1251. ISBN 978-1-5386-1854-7

Abstract

Metadata

Authors/Creators:
  • Zeng, X
  • Zhu, G
  • Li, P
  • Lu, H
  • Zhang, M
  • Xie, SQ
Copyright, Publisher and Additional Information: © 2018 IEEE. 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.
Dates:
  • Published: 30 August 2018
  • Accepted: 28 April 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Electronic & Electrical Engineering (Leeds)
Funding Information:
FunderGrant number
Royal Academy of EngineeringIAPP1R2\100056
Depositing User: Symplectic Publications
Date Deposited: 26 Oct 2018 10:11
Last Modified: 26 Oct 2018 10:11
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/AIM.2018.8452390

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