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Code in the air: simplifying sensing on smartphones

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Published:03 November 2010Publication History

ABSTRACT

Modern smartphones are equipped with a wide variety of sensors including GPS, WiFi and cellular radios capable of positioning, accelerometers, magnetic compasses and gyroscopes, light and proximity sensors, and cameras. These sensors have made smartphones an attractive platform for collaborative sensing (aka crowdsourcing) applications where phones cooperatively collect sensor data to perform various tasks. Researchers and mobile application developers have developed a wide variety of such applications. Examples of such systems include BikeTastic [4] and BikeNet [1] which allow bicyclists to collaboratively map and visualize biking trails, SoundSense [3] for collecting and analyzing microphone data, iCartel [2] which crowdsources driving tracks from users to monitor road traffic in real time, and Transitgenie [5], which cooperatively tracks buses and trains.

References

  1. S. Eisenman, E. Miluzzo, N. Lane, R. Peterson, G. Ahn, and A. Campbell. The bikenet mobile sensing system for cyclist experience mapping. In Sensys 2007, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. "http://icartel.net".Google ScholarGoogle Scholar
  3. H. Lu, W. Pan, N. Lane, T. Choudhury, and A. T. Campbell. Soundsense: scalable sound sensing for people-centric applications on mobile phones. In Mobisys 2009, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. Reddy, K. Shilton, G. Denisov, C. Cenizal, D. Estrin, and M. Srivastava. Biketastic: sensing and mapping for better biking. In CHI 2010, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. A. Thiagarajan, T. Gerlich, J. Biagioni, and J. Eriksson. Cooperative transit tracking using gps-enabled smart-phones. In Sensys 2010, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

    cover image ACM Conferences
    SenSys '10: Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
    November 2010
    461 pages
    ISBN:9781450303446
    DOI:10.1145/1869983

    Copyright © 2010 Copyright is held by the author/owner(s).

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 3 November 2010

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    Overall Acceptance Rate174of867submissions,20%

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