WiFi-based indoor localization and tracking of a moving device

Noelia Hernández, Manuel Ocaña, Jose M. Alonso, Euntai Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

While some indoor Location Based Services (LBSs), such as medical equipment location in hospitals or people location in museums, do not need to estimate the trajectory of devices at short time intervals, some others, such as people guidance, require a frequent estimation of the device position. When providing an LBS for the latter, motion models and the information provided from motion sensors are commonly used to reduce the error in the localization, but this information is not always available. In this paper, we propose an approach to estimate the position of a moving device using a topological radio-map designed for static WiFi localization in a previous work. This approach uses a Bayes filter that continuously estimates the most likely position of the device. This filter will have to deal with the low working frequency of the device and the uncertainty of the observation to provide an accurate and fast estimation. Experiments performed in a real multi-floor environment show that the system is able to correctly track the device position, reducing the mean localization error.

Original languageEnglish
Title of host publication2014 Ubiquitous Positioning Indoor Navigation and Location Based Service, UPINLBS 2014 - Conference Proceedings
EditorsAndreas Wieser
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages281-289
Number of pages9
ISBN (Electronic)9781479960040
DOIs
Publication statusPublished - 2015 Feb 5
Event2014 Ubiquitous Positioning Indoor Navigation and Location Based Service, UPINLBS 2014 - Corpus Christ, United States
Duration: 2014 Nov 202014 Nov 21

Publication series

Name2014 Ubiquitous Positioning Indoor Navigation and Location Based Service, UPINLBS 2014 - Conference Proceedings

Other

Other2014 Ubiquitous Positioning Indoor Navigation and Location Based Service, UPINLBS 2014
CountryUnited States
CityCorpus Christ
Period14/11/2014/11/21

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Hernández, N., Ocaña, M., Alonso, J. M., & Kim, E. (2015). WiFi-based indoor localization and tracking of a moving device. In A. Wieser (Ed.), 2014 Ubiquitous Positioning Indoor Navigation and Location Based Service, UPINLBS 2014 - Conference Proceedings (pp. 281-289). [7033738] (2014 Ubiquitous Positioning Indoor Navigation and Location Based Service, UPINLBS 2014 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UPINLBS.2014.7033738