Designing and Testing HealthTracker for Activity Recognition and Energy Expenditure Estimation within the DAPHNE Platform

Andrés, J, Bailador, G, Gibbons, CH et al. (1 more author) (2016) Designing and Testing HealthTracker for Activity Recognition and Energy Expenditure Estimation within the DAPHNE Platform. Procedia Computer Science, 98. pp. 348-355. ISSN 1877-0509

Abstract

Metadata

Authors/Creators:
  • Andrés, J
  • Bailador, G
  • Gibbons, CH
  • Olmo, A
Copyright, Publisher and Additional Information: © 2016 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Wearable devices; activity detection; energy expenditure; feature extraction; machine learning; signal processing
Dates:
  • Published: 21 September 2016
  • Accepted: 21 September 2016
  • Published (online): 21 September 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Psychology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Oct 2016 10:48
Last Modified: 05 Oct 2017 16:22
Published Version: http://dx.doi.org/10.1016/j.procs.2016.09.052
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.procs.2016.09.052

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