UMAFall: A Multisensor Dataset for the Research on Automatic Fall Detection

Author:

Casilari Eduardo,Santoyo-Ramón Jose A.,Cano-García Jose M.

Publisher

Elsevier BV

Subject

General Engineering

Reference30 articles.

1. Ageing & Life Course Unit. WHO global report on falls prevention in older age;World Health Organization,2008

2. Yoshida S. A Global Report on Falls Prevention Epidemiology of Falls [Internet]. World Health Organization. World Health Organization; 2007. Available from: http://www.who.int/ageing/projects/1.Epidemiology of falls in older age.pdf

3. Noury N, Fleury A, Rumeau P, Bourke AK, Laighin GO, Rialle V, et al. Fall detection-principles and methods. In: Dittmar A, Clark J, editors. Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2007). Lyon, France; 2007. p. 1663–6.

4. Mobile phone-based pervasive fall detection;Dai;Pers Ubiquitous Comput,2010

5. Evaluation of accelerometer-based fall detection algorithms on real-world falls;Bagalà;PLoS One,2012

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