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Summary: Markov-optimal Sensing Policy for User State Estimation in
Mobile Devices
Yi Wang
, Bhaskar Krishnamachari
, Qing Zhao
, Murali Annavaram
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, USA
{wangyi,bkrishna,annavara}@usc.edu
Department of Electrical and Computer Engineering, University of California, Davis, USA
qzhao@ece.ucdavis.edu
ABSTRACT
Mobile device based human-centric sensing and user state
recognition provide rich contextual information for various
mobile applications and services. However, continuously
capturing this contextual information consumes significant
amount of energy and drains mobile device battery quickly.
In this paper, we propose a computationally efficient algo-
rithm to obtain the optimal sensor sampling policy under the
assumption that the user state transition is Markovian. This
Markov-optimal policy minimizes user state estimation er-
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