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MAQS: a personalized mobile sensing system for indoor air quality monitoring. (2011)
| Venue: | Proc. UbiComp ’11, |
| Citations: | 9 - 0 self |
BibTeX
@INPROCEEDINGS{Jiang11maqs:a,
author = {Yifei Jiang and Kun Li and Lei Tian and Ricardo Piedrahita and Xiang Yun § and Omkar Mansata and Qin Lv and Robert P Dick and Michael Hannigan and Li Shang},
title = {MAQS: a personalized mobile sensing system for indoor air quality monitoring.},
booktitle = {Proc. UbiComp ’11,},
year = {2011},
pages = {271--280},
publisher = {ACM Press}
}
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Abstract
ABSTRACT Most people spend more than 90% of their time indoors; indoor air quality (IAQ) influences human health, safety, productivity, and comfort. This paper describes MAQS, a personalized mobile sensing system for IAQ monitoring. In contrast with existing stationary or outdoor air quality sensing systems, MAQS users carry portable, indoor location tracking sensors that provide personalized IAQ information. To improve accuracy and energy efficiency, MAQS incorporates three novel techniques: (1) an accurate temporal n-gram augmented Bayesian room localization method that requires few Wi-Fi fingerprints; (2) an air exchange rate based IAQ sensing method, which measures general IAQ using only CO 2 sensors; and (3) a zone-based proximity detection method for collaborative sensing, which saves energy and enables data sharing among users. MAQS has been deployed and evaluated via user study. Detailed evaluation results demonstrate that MAQS supports accurate personalized IAQ monitoring and quantitative analysis with high energy efficiency.
