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. 2012 Nov 16;12(11):15888–15906. doi: 10.3390/s121115888

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© 2012 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 license (http://creativecommons.org/licenses/by/3.0/).

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Figure 7. — A part of generated training set with labeled feature vectors. Our model consists of seven states (discrete label values within interval [1–7]) and eight sensors per observation. Each observation sensor can take three values within the interval of [0–2].