FTrack: infrastructure-free floor localization via mobile phone sensing

Haibo Ye, Tao Gu, Xiaorui Zhu, Jinwei Xu, Xianping Tao, Jian Lu, Ning Jin

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

57 Citations (Scopus)

Abstract

Mobile phone localization plays a key role in the fast-growing Location Based Applications domain. Most of the existing localization schemes rely on infrastructure support such as GSM, WiFi or GPS. In this paper, we present FTrack, a novel floor localization system to identify the floor level in a multi-floor building on which a mobile user is located. FTrack uses the mobile phone's accelerometer only without any infrastructure support. It does not require any prior knowledge of the building such as floor height. By capturing user encounters and analyzing user trails, FTrack finds the mapping from the traveling time (when taking the elevator) or the step counts (when walking on the stairs) between any two floors to the number of floor levels. The mapping can then be used for mobile users to pinpoint their current floor levels. We conduct both simulation and field studies to demonstrate the effectiveness of FTrack. Our field trial in a 10-floor building shows that FTrack achieves an accuracy of over 90% after two hours in our experiment.
Original languageEnglish
Title of host publication2012 IEEE International Conference on Pervasive Computing and Communications (PerCom 2012)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2-10
Number of pages9
ISBN (Print)9781467302586
DOIs
Publication statusPublished - 2012
Externally publishedYes

Keywords

  • Mobile Phone Localization
  • Floor Localization
  • Accelerometer

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