A hybrid hierarchical framework for gym physical activity recognition and measurement using wearable sensors

Qi, J., Yang, P. orcid.org/0000-0002-8553-7127, Hanneghan, M. et al. (2 more authors) (2019) A hybrid hierarchical framework for gym physical activity recognition and measurement using wearable sensors. IEEE Internet of Things Journal, 6 (2). pp. 1384-1393.

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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: Internet of things; physical activity recognition; free weight training; wearable sensors
Dates:
  • Accepted: 27 May 2018
  • Published (online): 12 June 2018
  • Published: April 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 10:05
Last Modified: 12 Sep 2019 10:05
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/jiot.2018.2846359

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