Adaptive Bayesian inference system for recognition of walking activities and prediction of gait events using wearable sensors

Martinez-Hernandez, U orcid.org/0000-0002-9922-7912 and Dehghani-Sanij, AA (2018) Adaptive Bayesian inference system for recognition of walking activities and prediction of gait events using wearable sensors. Neural Networks, 102. pp. 107-119. ISSN 0893-6080

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 Elsevier Ltd. This is an author produced version of a paper published in Neural Networks. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Intent recognition; high-level control; Bayesian inference; action-perception architectures; wearable sensors
Dates:
  • Accepted: 26 February 2018
  • Published (online): 9 March 2018
  • Published: June 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds)
Funding Information:
FunderGrant number
EPSRCEP/M026388/1
Depositing User: Symplectic Publications
Date Deposited: 02 Mar 2018 14:17
Last Modified: 09 Mar 2019 01:38
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.neunet.2018.02.017

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