Time-Elastic Generative Model for Acceleration Time Series in Human Activity Recognition

Munoz-Organero, M. and Ruiz-Blazquez, R. (2017) Time-Elastic Generative Model for Acceleration Time Series in Human Activity Recognition. Sensors, 17 (2). p. 319. ISSN 1424-8220

Abstract

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Authors/Creators:
  • Munoz-Organero, M.
  • Ruiz-Blazquez, R.
Copyright, Publisher and Additional Information: © 2017 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: human activity recognition; accelerometer sensors; auto-encoders; generative models for training deep learning algorithms
Dates:
  • Accepted: 6 February 2017
  • Published (online): 8 February 2017
  • Published: 8 February 2017
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) > ScHARR - Sheffield Centre for Health and Related Research
Depositing User: Symplectic Sheffield
Date Deposited: 11 Apr 2017 15:19
Last Modified: 11 Apr 2017 15:19
Published Version: http://doi.org/10.3390/s17020319
Status: Published
Publisher: MDPI
Refereed: Yes
Identification Number: https://doi.org/10.3390/s17020319

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