Surface-EMG based Wrist Kinematics Estimation using Convolutional Neural Network

Bao, T, Zaidi, A, Xie, S et al. (1 more author) (2019) Surface-EMG based Wrist Kinematics Estimation using Convolutional Neural Network. In: 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN). 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2019)), 19-22 May 2019, Chicago, IL, USA. IEEE . ISBN 978-1-5386-7477-2

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Copyright, Publisher and Additional Information: © 2019 IEEE. This is an author produced version of a paper published in 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN). 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: sEMG; wrist kinematics estimation; machine learning; deep learning; convolutional neural networks
Dates:
  • Published: 25 July 2019
  • Accepted: 27 February 2019
  • Published (online): 25 July 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Funding Information:
FunderGrant number
EPSRCEP/S019219/1
Depositing User: Symplectic Publications
Date Deposited: 28 Feb 2019 15:16
Last Modified: 15 Nov 2019 02:26
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/BSN.2019.8771100

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