An overview of data fusion techniques for internet of things enabled physical activity recognition and measure

Qi, J., Yang, P. orcid.org/0000-0002-8553-7127, Newcombe, L. et al. (3 more authors) (2019) An overview of data fusion techniques for internet of things enabled physical activity recognition and measure. Information Fusion. ISSN 1566-2535

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Elsevier. This is an author produced version of a paper subsequently published in Information Fusion. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Physical activity; Lifelogging; Review; Activity recognition; Activity monitoring; Information fusion
Dates:
  • Accepted: 6 September 2019
  • Published (online): 9 September 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 12 Sep 2019 08:44
Last Modified: 12 Sep 2019 08:44
Status: Published online
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.inffus.2019.09.002

Download

Accepted Version


Embargoed until: 9 March 2021

Filename: PAinfofusion-R2-Accepted.pdf

Licence: CC-BY-NC-ND 4.0

Request a copy

Share / Export

Statistics