MAQS: a personalized mobile sensing system for indoor air quality monitoring

doi:10.1145/2030112.2030150

MAQS: a personalized mobile sensing system for indoor air quality monitoring

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Authors:	Yifei Jiang	University of Colorado, Boulder, Boulder, CO, USA
	Kun Li	University of Colorado, Boulder, Boulder, CO, USA
	Lei Tian	University of Colorado, Boulder, Boulder, CO, USA
	Ricardo Piedrahita	University of Colorado, Boulder, Boulder, CO, USA
	Xiang Yun	University of Michigan, Ann Arbor, MI, USA
	Omkar Mansata	University of Michigan, Ann Arbor, MI, USA
	Qin Lv	University of Colorado, Boulder, Boulder, CO, USA
	Robert P. Dick	University of Michigan, Ann Arbor, MI, USA
	Michael Hannigan	University of Colorado, Boulder, Boulder, CO, USA
	Li Shang	University of Colorado, Boulder, Boulder, CO, USA

	2011 Article
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	· Proceeding
	UbiComp '11 Proceedings of the 13th international conference on Ubiquitous computing
	Pages 271-280 ACM New York, NY, USA ©2011 table of contents ISBN: 978-1-4503-0630-0 doi>10.1145/2030112.2030150

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Tags: air quality sensing algorithms design experimentation location based service performance real-time and embedded systems smartphone

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