A pedestrian indoor positioning system based on the Wi-Fi and walk pattering algorithm using mobile device

J. H. Lee, B. J. Shin, S. Lee, D. H. Woo, J. H. Kim, Y. T. Byun, S. D. Ha, S. C. Lee, J. W. Park, T. Lee

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

4 Citations (Scopus)

Abstract

As the number of smart phone user is increasing, the demand for location-based services inside buildings is increased. Furthermore, inertial sensors are equipped in smart phone in these days. According to this tendency, many techniques for Location Based Service have been researched. This paper presents the navigation system consists of Pedestrian Walking Patterning (PWP) based on Pedestrian Dead Reckoning and Wi-Fi based fingerprinting method called Wi-Fi based Indoor Positioning System. PWP estimates step length and also includes the step detection with supplementation about error. In PWP, step length of user is estimated using the linear combination of acceleration, walking frequency and maximum gyroscope value. These parameters have linear pattern with step length. In addition to this, to reflect the walking characteristic of user, map data is used at step length estimation. WIPS estimates the position of user using Enhanced-kWNN. E-kWNN is the method to estimate the position of user using fingerprinting method. Existing fingerprinting methods use the fixed number of reference points to estimate the position. However, E-kWNN varies the number of reference points to estimate the position according to a given environment. By varying the number of reference points, we could enhance the accuracy of positioning of user. Finally, we integrated PWP and WIPS as a navigation system and reduced the error caused by that algorithm using map matching algorithm. To verify the proposed navigation system, we did experiment in the hospital with lobby and hall and showed the result of positioning of user.

Original languageEnglish
Title of host publication24th International Technical Meeting of the Satellite Division of the Institute of Navigation 2011, ION GNSS 2011
Pages1319-1327
Number of pages9
Publication statusPublished - 2011
Event24th International Technical Meeting of the Satellite Division of the Institute of Navigation 2011, ION GNSS 2011 - Portland, OR, United States
Duration: 2011 Sep 192011 Sep 23

Publication series

Name24th International Technical Meeting of the Satellite Division of the Institute of Navigation 2011, ION GNSS 2011
Volume2

Other

Other24th International Technical Meeting of the Satellite Division of the Institute of Navigation 2011, ION GNSS 2011
CountryUnited States
CityPortland, OR
Period11/9/1911/9/23

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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  • Cite this

    Lee, J. H., Shin, B. J., Lee, S., Woo, D. H., Kim, J. H., Byun, Y. T., Ha, S. D., Lee, S. C., Park, J. W., & Lee, T. (2011). A pedestrian indoor positioning system based on the Wi-Fi and walk pattering algorithm using mobile device. In 24th International Technical Meeting of the Satellite Division of the Institute of Navigation 2011, ION GNSS 2011 (pp. 1319-1327). (24th International Technical Meeting of the Satellite Division of the Institute of Navigation 2011, ION GNSS 2011; Vol. 2).