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. 2018 Apr 26;18(5):1350. doi: 10.3390/s18051350

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© 2018 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/).

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UMA Fall plots for some fall events from participants behaving as expected. The plots depict the magnitude of the acceleration during a fall in a period of 4 s (80 samples). The data come from the 3DACC sensor on the waist. (a) P1: backward fall, 3DACC $\in [0.0, 4.0] \times$ g. (b) P1: backward fall, 3DACC $\in [0.0, 8.0] \times$ g. (c) P2: lateral fall, 3DACC $\in [0.0, 5.5] \times$ g. (d) P2: forward fall, 3DACC $\in [0.0, 4.1] \times$ g. (e) P5: backward fall, 3DACC $\in [0.0, 5.0] \times$ g. (f) P5: backward fall, 3DACC $\in [0.0, 3.5] \times$ g. (g) P12: forward fall, 3DACC $\in [0.0, 3.8] \times$ g. (h) P15: lateral fall, 3DACC $\in [0.0, 3.5] \times$ g.

UMA Fall plots for some fall events from participants behaving as expected. The plots depict the magnitude of the acceleration during a fall in a period of 4 s (80 samples). The data come from the 3DACC sensor on the waist. (a) P1: backward fall, 3DACC $\in [0.0, 4.0] \times$ g. (b) P1: backward fall, 3DACC $\in [0.0, 8.0] \times$ g. (c) P2: lateral fall, 3DACC $\in [0.0, 5.5] \times$ g. (d) P2: forward fall, 3DACC $\in [0.0, 4.1] \times$ g. (e) P5: backward fall, 3DACC $\in [0.0, 5.0] \times$ g. (f) P5: backward fall, 3DACC $\in [0.0, 3.5] \times$ g. (g) P12: forward fall, 3DACC $\in [0.0, 3.8] \times$ g. (h) P15: lateral fall, 3DACC $\in [0.0, 3.5] \times$ g.