Feature space analysis for human activity recognition in smart environments

Chinellato, E, Hogg, DC orcid.org/0000-0002-6125-9564 and Cohn, AG orcid.org/0000-0002-7652-8907 (2016) Feature space analysis for human activity recognition in smart environments. In: 12th International Conference on Intelligent Environments (IE 2016). 12th International Conference on Intelligent Environments (IE 2016), 14-16 Sep 2016, London, UK. IEEE , pp. 194-197. ISBN 978-1-5090-4056-8

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Copyright, Publisher and Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
Keywords: Feature extraction; Time measurement; Testing; Indexes; Complexity theory
Dates:
  • Published: 27 October 2016
  • Accepted: 6 May 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 25 May 2017 12:45
Last Modified: 16 Jan 2018 07:12
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/IE.2016.43
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