Affiliations: Department of Computer Science, Yonsei University,
Seoul, Korea
Note: [] Corresponding author: Hojung Cha, Department of Computer
Science, Yonsei University, Seoul, Korea. E-mail: hjcha@\linebreak
yonsei.ac.kr
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.