Human Movement Recognition Based on the Stochastic Characterisation of Acceleration Data.

Munoz-Organero, M. orcid.org/0000-0003-4199-2002 and Lotfi, A. (2016) Human Movement Recognition Based on the Stochastic Characterisation of Acceleration Data. Sensors, 16 (9). ISSN 1424-8220

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Copyright, Publisher and Additional Information: © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
Keywords: activities; fall detection; human movement detection; wearable sensors
Dates:
  • Published: 9 September 2016
  • Published (online): 9 September 2016
  • Accepted: 7 September 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 26 Sep 2016 15:21
Last Modified: 26 Sep 2016 15:21
Published Version: http://dx.doi.org/10.3390/s16091464
Status: Published
Publisher: MDPI
Refereed: Yes
Identification Number: https://doi.org/10.3390/s16091464
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