Smartphone-based indoor pedestrian tracking using geo-magnetic observations

Sungnam Lee, Yohan Chon, Hojung Cha

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

With the widespread use of smartphones, the use of location-based services (LBS) with smartphones has become an active research issue. The accurate measurement of user location is necessary to provide LBS. While outdoor locations are easily obtained with GPS, indoor location information is difficult to acquire. Previous work on indoor location tracking systems often relied on infrastructures that are influenced by environmental changes and temporal differences. Several studies have proposed infrastructure-less systems that are independent of the surroundings, but these works generally required non-trivial computation time or energy costs. In this paper, we propose an infrastructure-less pedestrian tracking system in indoor environments. The system uses accelerometers and magnetic sensors in smartphones without pre-installed infrastructure. We reduced the cumulative error of location tracking by geo-magnetic observations at corners and spots with magnetic fluctuations. In addition, we developed a robust estimation model that is tolerant to false positives, as well as a mobility model that reflects the characteristics of multiple sensors. Extensive evaluation in a real environment indicates that our system is accurate and cost-effective.

Original languageEnglish
Pages (from-to)123-137
Number of pages15
JournalMobile Information Systems
Volume9
Issue number2
DOIs
Publication statusPublished - 2013

Bibliographical note

Funding Information:
Lee Sungnam 1 Chon Yohan 1 Cha Hojung hjcha@yonsei.ac.kr 1 Department of Computer Science Yonsei University Seoul Republic of Korea 2013 9 2 123 137 28 2 2013 28 2 2013 2013 Copyright © 2013 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. With the widespread use of smartphones, the use of location-based services (LBS) with smartphones has become an active research issue. The accurate measurement of user location is necessary to provide LBS. While outdoor locations are easily obtained with GPS, indoor location information is difficult to acquire. Previous work on indoor location tracking systems often relied on infrastructures that are influenced by environmental changes and temporal differences. Several studies have proposed infrastructure-less systems that are independent of the surroundings, but these works generally required non-trivial computation time or energy costs. In this paper, we propose an infrastructure-less pedestrian tracking system in indoor environments. The system uses accelerometers and magnetic sensors in smartphones without pre-installed infrastructure. We reduced the cumulative error of location tracking by geo-magnetic observations at corners and spots with magnetic fluctuations. In addition, we developed a robust estimation model that is tolerant to false positives, as well as a mobility model that reflects the characteristics of multiple sensors. Extensive evaluation in a real environment indicates that our system is accurate and cost-effective. Indoor localization system unconstrained device placements infrastructure-free http://dx.doi.org/10.13039/501100003725 National Research Foundation of Korea 2012-0005522

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications

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