research-article

Design and evaluation of a wireless magnetic-based proximity detection platform for indoor applications

Authors:

Chieh-Jan Mike Liang,

Feng ZhaoAuthors Info & Claims

IPSN '12: Proceedings of the 11th international conference on Information Processing in Sensor Networks

Pages 221 - 232

https://doi.org/10.1145/2185677.2185735

Published: 16 April 2012 Publication History

Abstract

Many indoor sensing applications leverage knowledge of relative proximity among physical objects and humans, such as the notion of "within arm's reach". In this paper, we quantify this notion using "proximity zone", and propose a methodology that empirically and systematically compare the proximity zones created by various wireless technologies. We find that existing technologies such as 802.15.4, Bluetooth Low Energy (BLE), and RFID fall short on metrics such as boundary sharpness, robustness against interference, and obstacle penetration. We then present the design and evaluation of a wireless proximity detection platform based on magnetic induction - LiveSynergy. LiveSynergy provides sweet spot for indoor applications that require reliable and precise proximity detection. Finally, we present the design and evaluation of an end-to-end system, deployed inside a large food court to offer context-aware and personalized advertisements and diet suggestions at a per-counter granularity.

References

[1]

P. Bahl and V. Padmanabhan. Radar: an in-building rf-based user location and tracking system. In INFOCOM, volume 2, pages 775--784 vol.2, 2000.

[2]

B. Brumitt, B. Meyers, J. Krumm, A. Kern, and S. A. Shafer. Easyliving: Technologies for intelligent environments. In HUC, 2000.

Digital Library

[3]

I. Constandache, X. Bao, M. Azizyan, and R. R. Choudhury. Did you see bob?: human localization using mobile phones. In Proceedings of the sixteenth annual international conference on Mobile computing and networking, MobiCom '10, pages 149--160, New York, NY, USA, 2010. ACM.

Digital Library

[4]

Fredrik Kervel. DN023: 868 MHz, 915 MHz and 955 MHz Inverted F Antenna. http://focus.ti.com/lit/an/swra228b/swra228b.pdf.

[5]

D. H and D. Fox. Mapping and localization with rfid technology. In International Conference on Robotics and Automation, 2003.

[6]

A. Harter, A. Hopper, P. Steggles, A. Ward, and P. Webster. The anatomy of a context-aware application. Wireless Networks, 8:187--197, 2002. 10.1023/A:1013767926256.

Digital Library

[7]

X. Jiang, S. Dawson-Haggerty, P. Dutta, and D. Culler. Design and Implementation of a High-Fidelity AC Metering Network. In Proc. IPSN/SPOTS, 2009.

Digital Library

[8]

C.-J. M. Liang, B. Priyantha, J. Liu, and A. Terzis. Surviving Wi-Fi Interference in Low Power ZigBee Networks. In Proc. SenSys, 2010.

Digital Library

[9]

A. Markham, N. Trigoni, and S. Ellwood. Revealing the Hidden Lives of Underground Animals with Magneto-Inductive Tracking. In Proc. SenSys, 2010.

Digital Library

[10]

Matthew M. Holland and Ryan G. Aures and Wendi B. Heinzelman. Experimental Investigation of Radio Performance in Wireless Sensor Networks. In SECON, 2006.

[11]

E. Miluzzo, X. Zheng, K. Fodor, and A. T. Campbell. Radio characterization of 802.15.4 and its impact on the design of mobile sensor networks. In EWSN, 2008.

Digital Library

[12]

A. Mohan, G. Woo, S. Hiura, Q. Smithwick, and R. Raskar. Bokode: imperceptible visual tags for camera based interaction from a distance. ACM Transactions on Graphics, 28, 2009.

Digital Library

[13]

R. J. Orr and G. D. Abowd. The smart floor: a mechanism for natural user identification and tracking. In CHI '00, CHI EA '00, pages 275--276, New York, NY, USA, 2000. ACM.

Digital Library

[14]

People Power. People Power | Helping Save the Green. http://www.peoplepowerco.com.

[15]

Polhemus. Polhemus, Innovation in Motion. http://http://polhemus.com/.

[16]

N. B. Priyantha, A. Chakraborty, and H. Balakrishnan. The cricket location-support system. In MobiCom, 2000.

Digital Library

[17]

F. Raab, E. Blood, T. Steiner, and H. Jones. Magnetic position and orientation tracking system. In IEEE Transactions on Aerospace and Electronic Systems, 1979.

[18]

B. Sklar. Rayleigh fading channels in mobile digital communication systems .i. characterization. Communications Magazine, IEEE, 35(7):90 --100, jul 1997.

Digital Library

[19]

K. Srinivasan, M. A. Kazandjieva, S. Agarwal, and P. Levis. The b-factor: measuring wireless link burstiness. In SenSys, 2008.

Digital Library

[20]

T. Teixeira, D. Jung, and A. Savvides. Tasking networked cctv cameras and mobile phones to identify and localize multiple people. In Ubiquitous Computing/Handheld and Ubiquitous Computing, pages 213--222, 2010.

Digital Library

[21]

R. Want, A. Hopper, V. Falcão, and J. Gibbons. The active badge location system. ACM Trans. Inf. Syst., 10:91--102, January 1992.

Digital Library

[22]

E. Welbourne, K. Koscher, E. Soroush, M. Balazinska, and G. Borriello. Longitudinal study of a building-scale rfid ecosystem. In MobiSys '09, pages 69--82, New York, NY, USA, 2009. ACM.

Digital Library

[23]

M. Youssef and A. Agrawala. The horus wlan location determination system. In MobiSys, 2005.

Digital Library

Cited By

Zhang WSengupta RFodero JLi X(2017)DeepPositioning: Intelligent Fusion of Pervasive Magnetic Field and WiFi Fingerprinting for Smartphone Indoor Localization via Deep Learning2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)10.1109/ICMLA.2017.0-185(7-13)Online publication date: Dec-2017
https://doi.org/10.1109/ICMLA.2017.0-185
Chen XChandrasekaran RSong FJiang XXing G(2016)Personal energy footprint in shared building environmentProceedings of the 15th International Conference on Information Processing in Sensor Networks10.5555/2959355.2959385(1-2)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.5555/2959355.2959385
Cheng JSundholm MZhou BHirsch MLukowicz P(2016)Smart-surfacePervasive and Mobile Computing10.1016/j.pmcj.2016.01.00730:C(97-112)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.pmcj.2016.01.007
Show More Cited By

Index Terms

Design and evaluation of a wireless magnetic-based proximity detection platform for indoor applications
1. Hardware
  1. Communication hardware, interfaces and storage
2. Information systems

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Information & Contributors

Information

Published In

cover image ACM Conferences

IPSN '12: Proceedings of the 11th international conference on Information Processing in Sensor Networks

April 2012

354 pages

ISBN:9781450312271

DOI:10.1145/2185677

General Chair:
Feng Zhao
Microsoft Research Asia, China
,
Program Chairs:
Andreas Terzis
Johns Hopkins University, USA
,
Kamin Whitehouse
University of Virginia, USA

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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IEEE-SPS: Signal Processing Society
SIGBED: ACM Special Interest Group on Embedded Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 April 2012

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IPSN '12

Sponsor:

IEEE-SPS
SIGBED

IPSN '12: The 11th International Conference on Information Processing in Sensor Networks

April 16 - 20, 2012

Beijing, China

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

Zhang WSengupta RFodero JLi X(2017)DeepPositioning: Intelligent Fusion of Pervasive Magnetic Field and WiFi Fingerprinting for Smartphone Indoor Localization via Deep Learning2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)10.1109/ICMLA.2017.0-185(7-13)Online publication date: Dec-2017
https://doi.org/10.1109/ICMLA.2017.0-185
Chen XChandrasekaran RSong FJiang XXing G(2016)Personal energy footprint in shared building environmentProceedings of the 15th International Conference on Information Processing in Sensor Networks10.5555/2959355.2959385(1-2)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.5555/2959355.2959385
Cheng JSundholm MZhou BHirsch MLukowicz P(2016)Smart-surfacePervasive and Mobile Computing10.1016/j.pmcj.2016.01.00730:C(97-112)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.pmcj.2016.01.007
Baha Aldin NErçelebi EAykaç M(2016)Advanced boundary virtual reference algorithm for an indoor system using an active RFID interrogator and transponderAnalog Integrated Circuits and Signal Processing10.1007/s10470-016-0789-y88:3(415-430)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1007/s10470-016-0789-y
Shu YShin KHe TChen JFdida SPau GKasera SZheng H(2015)Last-Mile Navigation Using SmartphonesProceedings of the 21st Annual International Conference on Mobile Computing and Networking10.1145/2789168.2790099(512-524)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.1145/2789168.2790099
Chen KHe SChen BKolb JKatz RCuller DCirani SDohler MFerrari GGrieco LPicone MWatteyne T(2015)BearLocProceedings of the 2015 Workshop on IoT challenges in Mobile and Industrial Systems10.1145/2753476.2753478(7-12)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1145/2753476.2753478
Zhou PJiang SLi M(2015)Urban Traffic Monitoring with the Help of Bus Riders2015 IEEE 35th International Conference on Distributed Computing Systems10.1109/ICDCS.2015.11(21-30)Online publication date: Jun-2015
https://doi.org/10.1109/ICDCS.2015.11
Ji HXie LWang CYin YLu S(2015)CrowdSensingJournal of Network and Computer Applications10.1016/j.jnca.2015.02.01052:C(79-89)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.1016/j.jnca.2015.02.010
Nirjon SLiu JDeJean GPriyantha BJin YHart TCampbell AKotz DCox LMao Z(2014)COIN-GPSProceedings of the 12th annual international conference on Mobile systems, applications, and services10.1145/2594368.2594378(301-314)Online publication date: 2-Jun-2014
https://dl.acm.org/doi/10.1145/2594368.2594378
Lu XXie LYin YWang WYe BLu S(2014)Efficient localization based on imprecise anchors in RFID system2014 IEEE International Conference on Communications (ICC)10.1109/ICC.2014.6883309(142-147)Online publication date: Jun-2014
https://doi.org/10.1109/ICC.2014.6883309
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