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Barometric phone sensors: more hype than hope!

Published:26 February 2014Publication History

ABSTRACT

The inclusion of the barometer sensor in smartphones signaled an opportunity for aiding indoor localization efforts. In this paper, we therefore investigate a possible use of the barometer sensor for detecting vertically oriented activities. We start by showing the accuracies of various commodity measurement devices and the challenges they bring forth. We then show how to use the barometer values to build a predictor that can detect floor changes and the mode (elevator, escalator, or stairs) used to change floors with nearly 100% accuracy. We validate these properties with data collected using 3 different measurement devices from 7 different buildings. Our investigation reveals that while the barometer sensor has potential, there is still a lot left to be desired.

References

  1. LPS331AP MEMS Pressure sensor. http://www.st.com/st-web-ui/static/active/en/resource/technical/document/datasheet/DM00036196.pdf.Google ScholarGoogle Scholar
  2. MEMS Pressure Sensors Data sheets. http://www.bosch-sensortec.com/en/homepage/products_3/environmental_sensors_1/bmp180_1/bmpl80.Google ScholarGoogle Scholar
  3. USB Weather Board. https://www.sparkfun.com/products/8311?Google ScholarGoogle Scholar
  4. Brush, A. B., Karlson, A. K., Scott, J., Sarin, R., Jacobs, A., Bond, B., Murillo, O., Hunt, G., Sinclair, M., Hammil, K., and Levi, S. User experiences with activity-based navigation on mobile devices. MobileHCI, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Chang, H., Tian, J., Lai, T., Chu, H., and Huang, P. Spinning beacons for precise indoor localization. SenSys, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Johannsson, H., Kaess, M., Fallon, M., and Leonard, J. Temporally scalable visual SLAM using a reduced pose graph. RSS Workshop on Long-term Operation of Autonomous Robotic Systems in Changing Environments, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  7. Kusy, B., Maroti, M., Balogh, G., Volgyesi, P., Sallai, J., Nadas, A., Ledeczi, A., and Meertens, L. Node density independent localization. IPSN/SPOTS, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Lester, J., Choudhury, T., and Borriello, G. A practical approach to recognizing physical activities. Pervasive, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Muthukrishnan, K., Dulman, S., and Langendoen, K. Towards a rapidly deployable positioning system for emergency responders. International Conference on Ubiquitous, Positioning, Indoor Navigation and Location-Based Service, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  10. Ojeda, L. and Borenstein, J. Personal dead-reckoning system for GPS-denied environments. Safety, Security and Rescue Robotics, 2007. SSRR 2007. IEEE International Workshop on, pages 1--6, sept. 2007.Google ScholarGoogle ScholarCross RefCross Ref
  11. Priyantha, N. B., Chakraborty, A., and Balakrishnan, H. The Cricket Location-Support system. MobiCom, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Varshavsky, A., LaMarca, A., Hightower, J., and de Lara, E. The SkyLoc floor localization system. Percom, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Ye, H., Gu, T., Zhu, X., Xu, J., Tao, X., Lu, J., and Jin, N. FTrack: Infrastructure-free floor localization via mobile phone sensing. Percom, 2012.Google ScholarGoogle Scholar

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        cover image ACM Conferences
        HotMobile '14: Proceedings of the 15th Workshop on Mobile Computing Systems and Applications
        February 2014
        134 pages
        ISBN:9781450327428
        DOI:10.1145/2565585

        Copyright © 2014 ACM

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        New York, NY, United States

        Publication History

        • Published: 26 February 2014

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        HotMobile '14 Paper Acceptance Rate22of72submissions,31%Overall Acceptance Rate96of345submissions,28%

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