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

  • Authors:

  • Yifei Jiang;Kun Li;Lei Tian;Ricardo Piedrahita;Xiang Yun;Omkar Mansata;Qin Lv;Robert P. Dick;Michael Hannigan;Li Shang

  • Affiliations:

  • University of Colorado, Boulder, Boulder, CO, USA;University of Colorado, Boulder, Boulder, CO, USA;University of Colorado, Boulder, Boulder, CO, USA;University of Colorado, Boulder, Boulder, CO, USA;University of Michigan, Ann Arbor, MI, USA;University of Michigan, Ann Arbor, MI, USA;University of Colorado, Boulder, Boulder, CO, USA;University of Michigan, Ann Arbor, MI, USA;University of Colorado, Boulder, Boulder, CO, USA;University of Colorado, Boulder, Boulder, CO, USA

  • Venue:
  • Proceedings of the 13th international conference on Ubiquitous computing
  • Year:
  • 2011

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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 CO2 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.