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Article

Ferret: RFID localization for pervasive multimedia

Published: 17 September 2006 Publication History

Abstract

The pervasive nature of multimedia recording devices enables novel pervasive multimedia applications with automatic, inexpensive, and ubiquitous identification and locationing abilities. We present the design and implementation of Ferret, a scalable system for locating nomadic objects augmented with RFID tags and displaying them to a user in real-time. We present two alternative algorithms for refining a postulation of an object's location using a stream of noisy readings from an RFID reader: an online algorithm for real-time use on a mobile device, and an offline algorithm for use in post-processing applications. We also present methods for detecting when nomadic objects move and how to reset the algorithms to restart the refinement process. An experimental evaluation of the Ferret prototype shows that (i) Ferret can refine object locations to only 1% of the reader's coverage region in less than 2 minutes with small error rate (2.22%); (ii) Ferret can detect nomadic objects with 100% accuracy when the nomadic distances exceed 20cm; and (iii) Ferret works with a variety of user mobility patterns.

References

[1]
B. Barshan and H. F. Durrant-Whyte. Inertial navigation systems for mobile robots. IEEE Transactions on Robotics and Automation, 11(3):328-342, June 1995.
[2]
F. Dellaert, D. Fox, W. Burgard, and S. Thrun. Monte carlo localization for mobile robots. In Proceedings of the 1999 IEEE International Conference on Robotics and Automation (ICRA'99), Detroit, MI, May 1999.
[3]
A. Elfes. Using occupancy grids for mobile robot perception and navigation. IEEE Computer, 22(6):46-57, June 1989.
[4]
K. Fishkin, B. Jiang, M. Philipose, and S. Roy. I sense a disturbance in the force: Long-range detection of interactions with rfid-tagged objects. In Proceedings of UbiComp'04, pages 268-282, September 2004.
[5]
J. D. Foley, A. V. Dam, S. K. Feiner, and J. F. Hughes. Computer Graphics: Principles and Practice in C. Addison-Wesley Professional, second edition, 1995.
[6]
D. Hähnel, W. Burgard, D. Fox, K. Fishkin, and M. Philipose. Mapping and localization with rfid technology. In Proceedings of ICRA'05, April 2004.
[7]
D. Hähnel, W. Burgard, D. Fox, and S. Thrun. An efficient fastslam algorithm for generating maps of large-scale cyclic environments from raw laser range measurements. In Proceedings of IROS'03, pages 206-211, October 2003.
[8]
J. Hightower, R. Want, and G. Borriello. Spoton: An indoor 3d location sensing technology based on rf signal strength. Technical Report 00-02-02, University of Washington, 2000.
[9]
L. M. Ni, Y. Liu, Y. C. Lau, and A. P. Patil. Landmarc: Indoor location sensing using active rfid. In Proceedings of PerCom'03, pages 407-417, March 2003.
[10]
N. B. Priyantha, A. Chakraborty, and H. Balakrishnan. The cricket location-support system. In Proceedings of MobiCom'00, Boston, MA, August 2000.
[11]
S. Roh, J. H. Park, Y. H. Lee, and H. R. Choi. Object recognition of robot using 3d rfid system. In Proceedings of ICCAS'05, June 2005.
[12]
R. Want. An introduction to rfid technology. IEEE Pervasive Computing, 5(1):25- 33, January-March 2006.
[13]
R. Want, A. Hopper, V. Falcao, and J. Gibbons. The active badge location system. ACM Transactions on Information Systems (TOIS), 10(1):91-102, January 1992.
[14]
A. Ward, A. Jones, and A. Hopper. A new location technique for the active office. IEEE Personal Communications Magazine, 4(5):42-47, October 1997.
[15]
X. Liu, M. Corner, and P. Shenoy. Ferret: Rfid localization for pervasive multimedia. Technical Report 06-22, University of Massachusets Amherst, 2006.

Cited By

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  • (2023)LocatAR: An AR Object Search Assistance System for a Shared SpaceProceedings of the Augmented Humans International Conference 202310.1145/3582700.3582712(66-76)Online publication date: 12-Mar-2023
  • (2022)GO-Finder: A Registration-free Wearable System for Assisting Users in Finding Lost Hand-held ObjectsACM Transactions on Interactive Intelligent Systems10.1145/351926812:4(1-29)Online publication date: 4-Nov-2022
  • (2022)CamFi: An AI-driven and Camera-based System for Assisting Users in Finding Lost Objects in Multi-Person ScenariosExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519780(1-7)Online publication date: 27-Apr-2022
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Published In

cover image ACM Other conferences
UbiComp'06: Proceedings of the 8th international conference on Ubiquitous Computing
September 2006
526 pages
ISBN:9783540396345
  • Editors:
  • Paul Dourish,
  • Adrian Friday

Sponsors

  • Google Inc.
  • Nokia
  • Microsoft: Microsoft
  • Intel: Intel
  • IBM: IBM

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 17 September 2006

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UbiComp'06 Paper Acceptance Rate 30 of 204 submissions, 15%;
Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

View all
  • (2023)LocatAR: An AR Object Search Assistance System for a Shared SpaceProceedings of the Augmented Humans International Conference 202310.1145/3582700.3582712(66-76)Online publication date: 12-Mar-2023
  • (2022)GO-Finder: A Registration-free Wearable System for Assisting Users in Finding Lost Hand-held ObjectsACM Transactions on Interactive Intelligent Systems10.1145/351926812:4(1-29)Online publication date: 4-Nov-2022
  • (2022)CamFi: An AI-driven and Camera-based System for Assisting Users in Finding Lost Objects in Multi-Person ScenariosExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519780(1-7)Online publication date: 27-Apr-2022
  • (2021)GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object DiscoveryProceedings of the 26th International Conference on Intelligent User Interfaces10.1145/3397481.3450664(139-149)Online publication date: 14-Apr-2021
  • (2016)Requirements on Kinaesthetic Interfaces for Spatially Interactive Sonic ArtProceedings of the Audio Mostly 201610.1145/2986416.2986441(162-169)Online publication date: 4-Oct-2016
  • (2014)Crowdsourcing-based radio map update automation for wi-fi positioning systemsProceedings of the 3rd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information10.1145/2676440.2676441(24-31)Online publication date: 4-Nov-2014
  • (2014)HiFiProceedings of the 15th Workshop on Mobile Computing Systems and Applications10.1145/2565585.2565587(1-6)Online publication date: 26-Feb-2014
  • (2010)Object localization using RFIDProceedings of the 5th IEEE international conference on Wireless pervasive computing10.5555/1856330.1856383(301-306)Online publication date: 5-May-2010
  • (2009)A fuzzy logic approach to passive RFID for mobile robot applicationsProceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems10.5555/1732643.1732950(5561-5566)Online publication date: 10-Oct-2009
  • (2009)Modeling RFID signal strength and tag detection for localization and mappingProceedings of the 2009 IEEE international conference on Robotics and Automation10.5555/1703435.1703632(1213-1218)Online publication date: 12-May-2009
  • Show More Cited By

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