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Wireless Communications and Mobile Computing
Volume 2017 (2017), Article ID 9474806, 16 pages
Research Article

Vision-Based Fall Detection with Convolutional Neural Networks

1DeustoTech, University of Deusto, Avenida de las Universidades, No. 24, 48007 Bilbao, Spain
2Department of Computer Science and Artificial Intelligence, Basque Country University, P. Manuel Lardizabal 1, 20018 San Sebastian, Spain
3Ikerbasque, Basque Foundation for Science, Maria Diaz de Haro 3, 48013 Bilbao, Spain
4Donostia International Physics Center (DIPC), P. Manuel Lardizabal 4, 20018 San Sebastian, Spain

Correspondence should be addressed to Adrián Núñez-Marcos

Received 14 July 2017; Revised 26 September 2017; Accepted 9 November 2017; Published 6 December 2017

Academic Editor: Wiebren Zijlstra

Copyright © 2017 Adrián Núñez-Marcos 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.

How to Cite this Article

Adrián Núñez-Marcos, Gorka Azkune, and Ignacio Arganda-Carreras, “Vision-Based Fall Detection with Convolutional Neural Networks,” Wireless Communications and Mobile Computing, vol. 2017, Article ID 9474806, 16 pages, 2017. doi:10.1155/2017/9474806