Paper Info
Title
User-Centric Indoor Air Quality Monitoring on Mobile Devices.
Abstract
Because people spend a majority of their time indoors, indoor air quality (IAQ) can have a significant impact on human health, safety, productivity, and comfort. Because of the diversity and dynamics of people's indoor activities, it is important to monitor IAQ for each individual. Most existing airquality sensing systems are stationary or focus on outdoor air quality. In contrast,we propose MAQS, a user-centered mobile sensing system for IAQ monitoring. MAQS users carry portable, indoor location tracking and IAQ sensing devices that provide personalized IAQ information in real time. 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 airexchange- 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 through a real-world user study. This evaluation demonstrates that MAQS supports accurate personalized IAQ monitoring and quantitative analysis with high energy efficiency. We also found that study participants frequently experienced poor IAQ. Copyright © 2013, Association for the Advancement of Artificial Intelligence. Copyright © 2013, Association for the Advancement of Artificial Intelligence.
Year
DOI
Venue
2013
null
AI Magazine
Field
DocType
Volume
Simulation,Efficient energy use,Computer science,Data sharing,Mobile device,Air quality index,Indoor air quality,High energy,Outdoor air quality,User-centered design
Journal
34
Issue
Citations 
PageRank 
2
4
0.64
References 
Authors
12
10
Name
Order
Citations
PageRank
Yifei Jiang127922.14
Kun Li223018.70
Ricardo Piedrahita3688.09
Xiang Yun4465.56
Lei Tian5476.59
Omkar Mansata6465.56
Lv Qin7111691.95
Robert P. Dick83130180.88
Michael Hannigan918311.32
Li Shang10131189.75