Network-based pedestrian tracking system with densely placed wireless access points

Ryuta Abe, Junpei Shimamura, Kento Hayata, Hiroaki Togashi, Hiroshi Furukawa

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

1 Citation (Scopus)

Abstract

Demand for care services, especially for children and the elderly, has been increasing. Several GPS-based pedestrian tracking systems have been researched and developed, but GPS cannot provide accurate position estimates in high-rise areas and indoor environments. In order to settle this issue, we propose a pedestrian tracking system that uses Wi-Fi beacons held by target persons and Wi-Fi access points placed widely and densely in a specified area. Target users’ positions are estimated on the basis of probe request signals broadcast by the Wi-Fi beacons. The positioning algorithm is based on proximity detection based on received signal strength. In addition, the proposed method uses a computation time reduction strategy and error reduction techniques. Each target’s trajectory is estimated on the basis of position estimates using several trajectory correction algorithms. Experimental results show that the proposed positioning system can estimate a target’s trajectory with approximately 80% accuracy, with a positioning delay, i.e., time taken to estimate a target’s position, of approximately 2.8s.

Original languageEnglish
Title of host publicationInformation Search, Integration, and Personlization - 11th International Workshop, ISIP 2016, Revised Selected Papers
EditorsDominique Laurent, Nicolas Spyratos, Jean-Marc Petit, Dimitris Kotzinos, Yuzuru Tanaka
PublisherSpringer Verlag
Pages82-96
Number of pages15
ISBN (Print)9783319682815
DOIs
Publication statusPublished - Jan 1 2017
Event11th International Workshop on Information Search, Integration, and Personlization, ISIP 2016 - Lyon, France
Duration: Nov 1 2016Nov 4 2016

Publication series

NameCommunications in Computer and Information Science
Volume760
ISSN (Print)1865-0929

Other

Other11th International Workshop on Information Search, Integration, and Personlization, ISIP 2016
CountryFrance
CityLyon
Period11/1/1611/4/16

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Abe, R., Shimamura, J., Hayata, K., Togashi, H., & Furukawa, H. (2017). Network-based pedestrian tracking system with densely placed wireless access points. In D. Laurent, N. Spyratos, J-M. Petit, D. Kotzinos, & Y. Tanaka (Eds.), Information Search, Integration, and Personlization - 11th International Workshop, ISIP 2016, Revised Selected Papers (pp. 82-96). (Communications in Computer and Information Science; Vol. 760). Springer Verlag. https://doi.org/10.1007/978-3-319-68282-2_6