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. 2018 Apr 5;18(4):1101. doi: 10.3390/s18041101

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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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Feature extraction. (top panel) Reference raw data (the subject is running, trips, and falls). (second panel) Feature $J_{1}$ detects the fall as a large difference between its peak and jogging peaks. (third panel) Feature $J_{2}$ has a similar shape but with a larger percentual difference. Both $J_{1}$ and $J_{2}$ are computed in bits for reducing computations on the embedded device. (bottom panel) $J_{3}$ is formed by $J_{1}$ and $J_{2}$ , increasing their coincidences and diminishing their differences.