research-article

Tagtag: material sensing with commodity RFID

Authors:

Xiaojiang Chen,

Dingyi FangAuthors Info & Claims

SenSys '19: Proceedings of the 17th Conference on Embedded Networked Sensor Systems

Pages 338 - 350

https://doi.org/10.1145/3356250.3360027

Published: 10 November 2019 Publication History

Abstract

Material sensing is an essential ingredient for many IoT applications. While hyperspectral camera, infrared, X-Ray, and Radar provide potential solutions for material identification, high cost is the major concern limiting their applications. In this paper, we explore the capability of employing RF signals for fine-grained material sensing with commodity RFID device. The key reason for our system to work is that the tag antenna's impedance is changed when it is close or attached to a target. The amount of impedance change is dependent on the target's material type, thus enabling us to utilize the impedance-related phase change available at commodity RFID devices for material sensing. Several key challenges are addressed before we turn the idea into a functional system: (i) the random tag-reader distance causes an additional unknown phase change on top of the phase change caused by the target material; (ii) the tag rotations cause phase shifts and (iii) for conductive liquid, there exists liquid reflection which interferes with the impedance-caused phase change. We address these challenges with novel solutions. Comprehensive experiments show high identification accuracies even for very similar materials such as Pepsi and Coke.

References

[1]

N. Adair. Radio frequency identification (rfid) power budgets for packaging applications. PGK, 2005.

[2]

E. M. Amin, R. Bhattacharyya, S. Kumar, and S. Sarma. Towards low-cost resolution optimized passive uhf rfid light sensing. In WAMICON, pages 1--6, 2014.

[3]

C. Balas, G. Epitropou, A. Tsapras, and N. Hadjinicolaou. A novel hyperspectral camera and analysis platform for the non-destructive material identification and mapping: An application in paintings by el greco. In IST, pages 211--215. IEEE, 2016.

[4]

R. Bhattacharyya, C. Floerkemeier, and S. Sarma. Low-cost, ubiquitous rfid-tagantenna-based sensing. IEEE, 98(9):1593--1600, 2010.

[5]

R. Bhattacharyya, C. Floerkemeier, and S. Sarma. Rfid tag antenna based sensing: Does your beverage glass need a refill? In RFID, pages 126--133, 2010.

[6]

R. Bhattacharyya, C. Floerkemeier, S. Sarma, and D. Deavours. Rfid tag antenna based temperature sensing in the frequency domain. In RFID, pages 70--77. IEEE, 2011.

[7]

L.-X. Chuo, Z. Luo, D. Sylvester, D. Blaauw, and H.-S. Kim. Rf-echo: A non-line-of-sight indoor localization system using a low-power active rf reflector asic tag. In MobiCom, pages 222--234. ACM, 2017.

[8]

A. Dhekne, M. Gowda, Y. Zhao, H. Hassanieh, and R. Roy Choudhury. Liquid: A wireless liquid identifier. In MobiSys, pages 1--13, 2018.

Digital Library

[9]

D. M. Dobkin. The RF in RFID: passive UHF RFID in practice. Newnes, 2012.

[10]

D. M. Dobkin and S. M. Weigand. Environmental effects on rfid tag antennas. In MTTS, pages 135--138, 2005.

[11]

K. Fujimoto. Mobile antenna systems handbook. Artech House, 2008.

[12]

H. Fukuda, K. Kosaka, and W. Hattori. Rfid-based sensing technology with microstrip lines. In Sensors, pages 839--842, 2014.

[13]

C. Gao and Y. Li. Livetag: Sensing human-object interaction through passive chipless wifi tags. In NSDI, pages 165--178, 2018.

[14]

J. D. Griffin, G. D. Durgin, A. Haldi, and B. Kippelen. Radio link budgets for 915 mhz rfid antennas placed on various objects. In Texas Wireless Symposium, 2005.

[15]

U. Ha, Y. Ma, Z. Zhong, T. Hsu, and F. Adib. Learning food quality and safety from wireless stickers. In Hotnets, pages 106--112. ACM, 2018.

Digital Library

[16]

P. Hillyard, C. Qi, A. Al-Husseiny, G. D. Durgin, and N. Patwari. Focusing through walls: An e-shaped patch antenna improves whole-home radio tomography. In RFID, pages 174--181. IEEE, 2017.

[17]

E. Jones, S. D. Pringle, and Z. Takats. Ambient ionization mass spectrometry imaging platform for direct mapping from bulk tissue, 2 2018. US Patent App. 15/555,818.

[18]

K. Joshi, D. Bharadia, M. Kotaru, and S. Katti. Wideo: fine-grained device-free motion tracing using rf backscatter. In NSDI, pages 189--204, 2015.

[19]

M. A. A. H. Khan, R. Kukkapalli, P. Waradpande, S. Kulandaivel, N. Banerjee, N. Roy, and R. Robucci. Ram: Radar-based activity monitor. In INFOCOM, pages 1--9. IEEE, 2016.

[20]

B. Korany, C. R. Karanam, and Y. Mostofi. Adaptive near-field imaging with robotic arrays.

[21]

M. Kotaru, P. Zhang, and S. Katti. Localizing low-power backscatter tags using commodity wifi. In CoNEXT, pages 251--262. ACM, 2017.

Digital Library

[22]

S. Kumar and D. Katabi. Decimeter-level localization with a single wifi access point. In NSDI, pages 165--178, 2016.

[23]

T. Li, Q. Liu, and X. Zhou. Practical human sensing in the light. In MobiSys, pages 71--84, 2016.

Digital Library

[24]

Y. Ma, N. Selby, and F. Adib. Minding the billions: Ultra-wideband localization for deployed rfid tags. In MobiCom, pages 248--260. ACM, 2017.

Digital Library

[25]

S. Manzari, C. Occhiuzzi, S. Nawale, A. Catini, C. D. Natale, and G. Marrocco. Humidity sensing by polymer-loaded uhf rfid antennas. Sensors, 12(9):2851--2858, 2012.

[26]

W. Mao, J. He, and L. Qiu. Cat: high-precision acoustic motion tracking. In MobiCom, pages 69--81. ACM, 2016.

Digital Library

[27]

W. Mao, Z. Zhang, L. Qiu, J. He, Y. Cui, and S. Yun. Indoor follow me drone. In MobiSys, pages 345--358. ACM, 2017.

Digital Library

[28]

P. Melgarejo, X. Zhang, P. Ramanathan, and D. Chu. Leveraging directional antenna capabilities for fine-grained gesture recognition. In UbiComp, pages 541--551. ACM, 2014.

Digital Library

[29]

R. Nandakumar, B. Kellogg, and S. Gollakota. Wi-fi gesture recognition on existing devices. arXiv preprint arXiv:1411.5394, 2014.

[30]

K. Ogawa, T. Hirokawa, and S. Nakamura. Identification of a material with a photon counting x-ray ct system. In Nuclear Science Symposium Conference Record, pages 2582 -- 2586, 2011.

[31]

S. Pradhan, E. Chai, K. Sundaresan, L. Qiu, M. A. Khojastepour, and S. Rangarajan. Rio: A pervasive rfid-based touch gesture interface. In MobiSys, pages 261--274. ACM, 2017.

Digital Library

[32]

J. T. Prothro, G. D. Durgin, and J. D. Griffin. The effects of a metal ground plane on rfid tag antennas. In Antennas and Propagation Society International Symposium, pages 3241--3244. IEEE, 2006.

[33]

B. M. Rankin, J. Meola, D. L. Perry, and J. R. Kaufman. Methods and challenges for target detection and material identification for longwave infrared hyperspectral imagery. In SPIE Defense Security, pages 1--12, 2016.

[34]

W. F. Schmidt and K. Yoshino. Ion mobilities in non-polar dielectric liquids: silicone oils. IEEE Transactions on Dielectrics & Electrical Insulation, 22(5):2424--2427, 2015.

[35]

L. Shangguan, Z. Zhou, and K. Jamieson. Enabling gesture-based interactions with objects. In MobiSys, pages 239--251. ACM, 2017.

Digital Library

[36]

C. Shi, J. Liu, H. Liu, and Y. Chen. Smart user authentication through actuation of daily activities leveraging wifi-enabled iot. In Mobihoc, page 5. ACM, 2017.

[37]

J. R. Wait. Electromagnetic Wave Theory. Higher Education Press, 2002.

[38]

G. Wang, C. Qian, J. Han, W. Xi, H. Ding, Z. Jiang, and J. Zhao. Verifiable smart packaging with passive rfid. In UbiComp, pages 156--166. ACM, 2016.

Digital Library

[39]

J. Wang, O. Abari, and S. Keshav. Challenge: Rfid hacking for fun and profit. sensors, 3(14):15, 2018.

[40]

J. Wang, H. Jiang, J. Xiong, K. Jamieson, X. Chen, D. Fang, and B. Xie. Lifs: low human-effort, device-free localization with fine-grained subcarrier information. In MobiCom, pages 243--256. ACM, 2016.

Digital Library

[41]

J. Wang and D. Katabi. Dude, where's my card?: Rfid positioning that works with multipath and non-line of sight. SIGCOMM, 43(4):51--62, 2013.

Digital Library

[42]

J. Wang, J. Xiong, X. Chen, H. Jiang, R. K. Balan, and D. Fang. Tagscan: Simultaneous target imaging and material identification with commodity rfid devices. In MobiCom. ACM, 2017.

Digital Library

[43]

B. H. Waters, A. P. Sample, and J. R. Smith. Adaptive impedance matching for magnetically coupled resonators based on passive uhf rfid. In PIERS Proceedings, pages 694--701. Citeseer, 2012.

[44]

T. Wei and X. Zhang. mtrack: High-precision passive tracking using millimeter wave radios. In MobiCom, pages 117--129. ACM, 2015.

Digital Library

[45]

T. Wei and X. Zhang. Gyro in the air: tracking 3d orientation of batteryless internet-of-things. In MobiCom, pages 55--68. ACM, 2016.

Digital Library

[46]

J. Xiong, K. Sundaresan, and K. Jamieson. Tonetrack: Leveraging frequency-agile radios for time-based indoor wireless localization. In MobiCom, pages 537--549. ACM, 2015.

Digital Library

[47]

L. Yang, Y. Chen, X.-Y. Li, C. Xiao, M. Li, and Y. Liu. Tagoram: Real-time tracking of mobile rfid tags to high precision using cots devices. In MobiCom, pages 237--248. ACM, 2014.

Digital Library

[48]

L. Yang, Y. Li, Q. Lin, X. Y. Li, and Y. Liu. Making sense of mechanical vibration period with sub-millisecond accuracy using backscatter signals. In MobiCom, pages 16--28. ACM, 2016.

Digital Library

[49]

H.-S. Yeo, G. Flamich, P. Schrempf, D. Harris-Birtill, and A. Quigley. Radarcat: Radar categorization for input & interaction. In UIST, pages 833--841. ACM, 2016.

Digital Library

[50]

S. Yun, Y.-C. Chen, H. Zheng, L. Qiu, and W. Mao. Strata: Fine-grained acoustic-based device-free tracking. In MobiSys, pages 15--28. ACM, 2017.

Digital Library

[51]

C. Zhang and X. Zhang. Pulsar: Towards ubiquitous visible light localization. In MobiCom, pages 33--35. ACM, 2017.

[52]

O. Zhang and K. Srinivasan. Mudra: User-friendly fine-grained gesture recognition using wifi signals. In CoNEXT, pages 83--96. ACM, 2016.

Digital Library

[53]

Z. Zhao, J. Wang, X. Zhao, C. Peng, Q. Guo, and B. Wu. Navilight: Indoor localization and navigation under arbitrary lights. In INFOCOM, pages 1--9. IEEE, 2017.

[54]

Y. Zhu, Y. Zhu, B. Y. Zhao, and H. Zheng. Reusing 60ghz radios for mobile radar imaging. In MobiCom, pages 103--116. ACM, 2015.

Digital Library

Cited By

Li ZQi WChen JZhang YShu YLiu JTan RHe YChen J(2024)Poster Abstract: Liquid Identification via Container Acoustic ResonanceProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699403(851-852)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699403
Li ZLuo WZhang YChen JShu YZhang YShu YLiu JTan RHe YChen J(2024)ASLiquid: Non-Intrusive Liquid Counterfeit Identification with Your EarphonesProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699321(41-53)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699321
Wu YChen SMeng XTong XLiu XXie XQu WOkoshi TKo JLiKamWa R(2024)Enabling 6D Pose Tracking on Your Acoustic DevicesProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661875(15-28)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661875
Show More Cited By

Index Terms

Tagtag: material sensing with commodity RFID
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Sensors and actuators

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cover image ACM Conferences

SenSys '19: Proceedings of the 17th Conference on Embedded Networked Sensor Systems

November 2019

472 pages

ISBN:9781450369503

DOI:10.1145/3356250

General Chairs:
Raghu K. Ganti
IBM T.J. Watson
,
Xiaofan (Fred) Jiang
Columbia University
,
Program Chairs:
Gian Pietro Picco
University of Trento, Italy
,
Xia Zhou
Dartmouth College

Copyright © 2019 ACM.

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Published: 10 November 2019

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SenSys '19

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SenSys '19: The 17th ACM Conference on Embedded Networked Sensor Systems

November 10 - 13, 2019

New York, New York

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Cited By

Li ZQi WChen JZhang YShu YLiu JTan RHe YChen J(2024)Poster Abstract: Liquid Identification via Container Acoustic ResonanceProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699403(851-852)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699403
Li ZLuo WZhang YChen JShu YZhang YShu YLiu JTan RHe YChen J(2024)ASLiquid: Non-Intrusive Liquid Counterfeit Identification with Your EarphonesProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699321(41-53)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699321
Wu YChen SMeng XTong XLiu XXie XQu WOkoshi TKo JLiKamWa R(2024)Enabling 6D Pose Tracking on Your Acoustic DevicesProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661875(15-28)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661875
Shang FYang PYan DZhang SLi X(2024)LiquImagerProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435098:1(1-29)Online publication date: 6-Mar-2024
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Yao ZWang XNiu KZheng RWang JZhang DGanesan DShi W(2024)WiProfile: Unlocking Diffraction Effects for Sub-Centimeter Target Profiling Using Commodity WiFi DevicesProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3649355(185-199)Online publication date: 29-May-2024
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Wang XFan GDing RJin HHao WTao M(2024)Water Salinity Sensing with UAV-Mounted IR-UWB RadarACM Transactions on Sensor Networks10.1145/363351520:4(1-37)Online publication date: 11-May-2024
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Chang LYang XLiu RXie GWang FWang J(2024)FSS-TagProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314577:4(1-24)Online publication date: 12-Jan-2024
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