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Computational Intelligence and Neuroscience
Volume 2017, Article ID 1512670, 13 pages
https://doi.org/10.1155/2017/1512670
Research Article

A Combined One-Class SVM and Template-Matching Approach for User-Aided Human Fall Detection by Means of Floor Acoustic Features

Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy

Correspondence should be addressed to Emanuele Principi; ti.mpvinu@ipicnirp.e

Received 10 November 2016; Revised 6 April 2017; Accepted 3 May 2017; Published 30 May 2017

Academic Editor: Silvia Conforto

Copyright © 2017 Diego Droghini et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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