Abstract
This paper presents the design, implementation, and evaluation of a footprint-based indoor location system on traditional Japanese GETA sandals. Our footprint location system can significantly reduce the amount of infrastructure required in the deployed environment. In its simplest form, a user simply has to put on the GETA sandals to track his/her locations without any setup or calibration efforts. This makes our footprint method easy for everywhere deployment. The footprint location system is based on the dead-reckoning method. It works by measuring and tracking the displacement vectors along a trial of footprints (each displacement vector is formed by drawing a line between each pair of footprints). The position of a user can be calculated by summing up the current and all previous displacement vectors. Additional benefits of the footprint based method are that it does not have problems found in existing indoor location systems, such as obstacles, multi-path effects, signal noises, signal interferences, and dead spots. However, the footprint based method has a problem of accumulative error over distance traveled. To address this issue, it is combined with a light RFID infrastructure to correct its positioning error over some long distance traveled.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Want, R., Hopper, A., Falcao, V., Gibbons, J.: The Active Badge Location System. ACM Transaction on Information Systems 10(1), 91–102 (1992)
Harter, A., Hopper, P., Steggles, A., Ward, A., Webster, P.: The anatomy of a context-aware application. In: Proc. of 5th MOBICOM, pp. 59–68 (1999)
Priyantha, N.B., Chakraborty, A., Balakrishnan, H.: The Cricket Location-Support System. In: Proc. of the 6th MOBICOM, Boston, MA, USA (August 2000)
Orr, R.J., Abowd, G.D.: The Smart Floor: A Mechanism for Natural User Identification and Tracking. GVU Technical Report GIT-GVU-00-02 (2000)
Bahl, P., Padmanabhan, V.: RADAR: An In-Building RF-based User Location and Tracking System. In: Proc. of the IEEE INFOCOM 2000, March 2000, pp. 775–784 (March 2000)
Ekahau, http://www.ekahau.com/
Amemiya, T., Yamashita, J., Hirota, K., Hirose, M.: Virtual Leading Blocks for the Deaf-Blind: A Real-Time Way-Finder by Verbal-Nonverbal Hybrid Interface and High-Density RFID Tag Space. In: Proc. of the 2004 Virtual Reality (VR 2004)
NaviNote technology, http://www.navinote.com
InterSense, http://www.isense.com
Skyetek RFID engineering, http://www.skyetek.com/index.php
Foxlin, E., Naimark, L.: Miniaturization, Calibration, Accuracy Evaluation of a Hybrid Self-Tracker. IEEE/ACM Internationl Symposium on Mixed and Augmented Reality (ISMAR 2003) (October 2003)
Point Research Corp., http://www.pointresearch.com/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Okuda, K., Yeh, Sy., Wu, Ci., Chang, Kh., Chu, Hh. (2005). The GETA Sandals: A Footprint Location Tracking System. In: Strang, T., Linnhoff-Popien, C. (eds) Location- and Context-Awareness. LoCA 2005. Lecture Notes in Computer Science, vol 3479. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11426646_12
Download citation
DOI: https://doi.org/10.1007/11426646_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25896-4
Online ISBN: 978-3-540-32042-5
eBook Packages: Computer ScienceComputer Science (R0)