A Markovian Model for Harvested Power from Human Motion

Shenqiu Zhang; Alireza Seyedi

8th International Conference on Body Area Networks

Research Article

A Markovian Model for Harvested Power from Human Motion

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.bodynets.2013.253912,
    author={Shenqiu Zhang and Alireza Seyedi},
    title={A Markovian Model for Harvested Power from Human Motion},
    proceedings={8th International Conference on Body Area Networks},
    publisher={ICST},
    proceedings_a={BODYNETS},
    year={2013},
    month={10},
    keywords={energy harvesting markov model},
    doi={10.4108/icst.bodynets.2013.253912}
}

Shenqiu Zhang
Alireza Seyedi
Year: 2013
A Markovian Model for Harvested Power from Human Motion
BODYNETS
ACM
DOI: 10.4108/icst.bodynets.2013.253912

Shenqiu Zhang¹, Alireza Seyedi^,*

1: University of Rochester

*Contact email: alireza.seyedi@ucf.edu

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.

Keywords: energy harvesting markov model

Published: 2013-10-29
Publisher: ICST

: http://dx.doi.org/10.4108/icst.bodynets.2013.253912

A Markovian Model for Harvested Power from Human Motion

Abstract

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