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A quantitative investigation of inertial power harvesting for human-powered devices
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UbiComp; Vol. 344 archive
Proceedings of the 10th international conference on Ubiquitous computing table of contents
Seoul, Korea
SESSION: Portable and wearable table of contents
Pages 74-83  
Year of Publication: 2008
ISBN:978-1-60558-136-1
Authors
Jaeseok Yun  Georgia Institute of Technology, Atlanta, GA
Shwetak Patel  University of Washington, Seattle, WA
Matt Reynolds  Duke University, Durham, NC
Gregory Abowd  Georgia Institute of Technology, Atlanta, GA
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present an empirical study of the long-term practicality of using human motion to generate operating power for body-mounted consumer electronics and health sensors. We have collected a large continuous acceleration dataset from eight experimental subjects going about their normal daily routine for 3 days each. Each subject is instrumented with a data collection apparatus that simultaneously logs 3-axis, 80Hz acceleration data from six body locations. We use this dataset to optimize a first-principles physical model of the commonly used velocity damped resonant generator (VDRG) by selecting physical parameters such as resonant frequency and damping coefficient to maximize harvested power. Our results show that with reasonable assumptions on size, mass, placement, and efficiency of VDRG harvesters, most body-mounted wireless sensors and even some consumer electronics devices, may be powered continuously and indefinitely from everyday motion.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Jaeseok Yun: colleagues
Shwetak Patel: colleagues
Matt Reynolds: colleagues
Gregory Abowd: colleagues