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. 2016 Oct 26;16(11):1792. doi: 10.3390/s16111792

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© 2016 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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HMM (hidden Markov model) architecture with n states $q_{i}$ , $a_{i j}$ is the state transition probability from state $q_{i}$ to $q_{j}$ . Each b value corresponds to a label representing a human posture that is obtained in the vector discretization stage.