A privacy-aware user tracking system using footprint data measured across multiple pressure sensor sheets

Ryoya Wada, Shigeaki Tagashira, Masaki Ogino, Shigemi Ishida, Akira Fukuda

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

2 Citations (Scopus)

Abstract

In this paper, we propose a privacy-aware user tracking system which traces users by their footprints. Tracking by footprints could reduce discomfort for privacy-sensitive users compared with the use of face recognition by cameras in existing tracking systems, since a footprint is weakly identifiable personal information, i.e., it cannot directly identify a specific individual. In this context, the proposed system is said to be privacy-aware. In the proposed tracking system, the footprint data are collected from spatially disjoint pressure sensor sheets put on significant locations in a target area. The trajectory of a specific user is estimated by extracting a sequence of sensor sheets that can observe the footprint of the user. The main task to be handled in the system is to recognize correspondence between footprints measured across multiple pressure sensor sheets. Moreover, we have conducted a basic evaluation to confirm the feasibility of the proposed system. The result shows that it can distinguish users by 94%.

Original languageEnglish
Title of host publicationProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
EditorsAyako Hiramatsu, Tokuro Matsuo, Akimitsu Kanzaki, Norihisa Komoda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages240-243
Number of pages4
ISBN (Electronic)9781467389853
DOIs
Publication statusPublished - Aug 31 2016
Event5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
Duration: Jul 10 2016Jul 14 2016

Publication series

NameProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016

Other

Other5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
Country/TerritoryJapan
CityKumamoto
Period7/10/167/14/16

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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