• 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