A Markovian model for harvested power from human motion

Authors:
Shenqiu Zhang;Alireza Seyedi
Affiliations:
University of Rochester;University of Central Florida
Venue:
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
Year:
2013

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Abstract

Empirical acceleration measurements are collected at 4 body locations from 20 subjects during normal daily activities. The measured acceleration is converted to the harvestable power assuming a velocity-damped resonant generator. Based on the calculated harvestable power, a simple Markovian model with two power levels and three states is developed.