Recognition of walking activity and prediction of gait periods with a CNN and first-order MC strategy

Martinez-Hernandez, U., Rubio-Solis, A. and Dehghani-Sanij, A.A. (2018) Recognition of walking activity and prediction of gait periods with a CNN and first-order MC strategy. In: Proceedings of the IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), 26-29 Aug 2018, Enschede, Netherlands. IEEE , pp. 897-902. ISBN 9781538681831

Abstract

Metadata

Authors/Creators:
  • Martinez-Hernandez, U.
  • Rubio-Solis, A.
  • Dehghani-Sanij, A.A.
Copyright, Publisher and Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Legged locomotion; Robot sensing systems; Convolution; Foot; Wearable sensors; Predictive models; Accelerometers
Dates:
  • Published (online): 11 October 2018
  • Published: 11 October 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 27 Nov 2018 15:12
Last Modified: 27 Nov 2018 15:12
Published Version: https://doi.org/10.1109/BIOROB.2018.8487220
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/BIOROB.2018.8487220

Export

Statistics