Smartphone-based pedestrian tracking in indoor corridor environments

Kwanghyo Park, Hyojeong Shin, Hojung Cha

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

As the use of smartphones spreads rapidly, user localization becomes an important issue for providing diverse location-based services (LBS). While tracking users in outdoor environments is easily done with GPS, the solution for indoor tracking is not trivial. One common technique for indoor user tracking is to employ inertial sensors, but such a system needs to be capable of handling noisy sensors that would normally lead to cumulative locating errors. To reduce such error, additional infrastructure has often been deployed to adjust for these cumulative location errors. As well, previous work has used highly accurate sensors or sensors that are strapped to the body. This paper presents a stand-alone pedestrian tracking system, using only a magnetometer and an accelerometer in a smartphone in indoor corridor environments that are normally laid out in a perpendicular design. Our system provides reasonably accurate pedestrian locations without additional infrastructure or sensors. The experiment results show that the location error is less than approximately 7 m, which is considered adequate for indoor LBS applications.

Original languageEnglish
Pages (from-to)359-370
Number of pages12
JournalPersonal and Ubiquitous Computing
Volume17
Issue number2
DOIs
Publication statusPublished - 2013 Feb 1

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Smartphones
Sensors
Location based services
Magnetometers
Accelerometers
Global positioning system
Pedestrian
Sensor
Experiments
Location-based services

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Science Applications
  • Management Science and Operations Research

Cite this

Park, Kwanghyo ; Shin, Hyojeong ; Cha, Hojung. / Smartphone-based pedestrian tracking in indoor corridor environments. In: Personal and Ubiquitous Computing. 2013 ; Vol. 17, No. 2. pp. 359-370.
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Smartphone-based pedestrian tracking in indoor corridor environments. / Park, Kwanghyo; Shin, Hyojeong; Cha, Hojung.

In: Personal and Ubiquitous Computing, Vol. 17, No. 2, 01.02.2013, p. 359-370.

Research output: Contribution to journalArticle

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