DocumentCode
169089
Title
Demonstration abstract: AirFeed — Indoor real time interactive air quality monitoring system
Author
Min, Kyeong T. ; Forys, Andrzej ; Schmid, Thomas
Author_Institution
Dept. of Comput. & Electr. Eng., Univ. of Utah, Salt Lake City, UT, USA
fYear
2014
fDate
15-17 April 2014
Firstpage
325
Lastpage
326
Abstract
Solutions to outdoor air pollution require societal changes; however, we focus on indoor home air quality to allow for individual control over the breathing environment. We present AirFeed: a real time air quality monitoring system that provides measurements on particulate matter, temperature, and humidity. Interactions with users based on data analysis and user/sensor feedback form distinguishable patterns between several types of activities. We can better inform the user how daily habits affect living environments. Several deployments are actively collecting data for future data analysis and improved pattern recognition.
Keywords
air pollution; air quality; atmospheric humidity; atmospheric techniques; atmospheric temperature; data analysis; indoor environment; pattern recognition; sensors; AirFeed; breathing environment; daily habits; data analysis; humidity; indoor home air quality; indoor real time interactive air quality monitoring system; living environments; outdoor air pollution; particulate matter; pattern recognition; sensor feedback; societal changes; user feedback; Atmospheric measurements; Humidity; IEEE 802.11 Standards; Monitoring; Real-time systems; Temperature measurement; Temperature sensors; Air Quality; Human Activity; Monitoring; Real Time;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Processing in Sensor Networks, IPSN-14 Proceedings of the 13th International Symposium on
Conference_Location
Berlin
Print_ISBN
978-1-4799-3146-0
Type
conf
DOI
10.1109/IPSN.2014.6846785
Filename
6846785
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