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IDSense: A Human Object Interaction Detection System Based on Passive UHF RFID

Authors:

Alanson P. SampleAuthors Info & Claims

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Pages 2555 - 2564

https://doi.org/10.1145/2702123.2702178

Published: 18 April 2015 Publication History

Abstract

In order to enable unobtrusive human object interaction detection, we propose a minimalistic approach to instrumenting everyday objects with passive (i.e. battery-free) UHF RFID tags. By measuring the changes in the physical layer of the communication channel between the RFID tag and reader (such as RSSI, RF phase, and read rate) we are able to classify, in real time, tag/object motion events along with two types of touch events. Through a user study, we demonstrate that our real-time classification engine is able to simultaneously track 20 objects and identify four movement classes with 93% accuracy. To demonstrate how robust this general-purpose interaction mechanism is, we investigate three usage scenarios 1) interactive storytelling with toys 2) inference of daily activities in the home 3) identification of customer browsing habits in a retail setting.

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References

[1]

Bao, L. and Intille, S.S. Activity Recognition from UserAnnotated Acceleration Data. Pervasive Computing, (2004), 1--17.

[2]

Buettner, M., Prasad, R., Philipose, M., and Wetherall, D. Recognizing Daily Activities with RFID-Based Sensors. Ubicomp, (2009), 51--60.

Digital Library

[3]

Chang, C.-C. and Lin, C.-J. Libsvm. ACM Transactions on Intelligent Systems and Technology 2, 3 (2011), 1--27.

Digital Library

[4]

Dimitriou, A.G., Bletsas, A., Polycarpou, A.C., and Sahalos, J.N. On Efficient UHF RFID Coverage inside a Room. 2010 Proceedings of the Fourth European Conference on Antennas and Propagation (EuCAP), (2010), 1--5

[5]

Fishkin, K.P., Jiang, B., Philipose, M., and Roy, S. I Sense a Disturbance in the Force: Unobtrusive Detection of Interactions with RFID-tagged Objects. UbiComp, (2004), 268--282.

[6]

Gaëtanne Haché, Edward D. Lemaire, N.B. Wearable mobility monitoring using a multimedia smartphone platform. IEEE Transactions on Instrumentation and Measurement 60, 9 (2011), 3153--3161.

[7]

Hodges, S., Thorne, A., Mallinson, H., and Floerkemeier, C. Assessing and optimizing the range of UHF RFID to enable real-world pervasive computing applications. Pervasive Computing, (2007), 280--297.

Digital Library

[8]

Meli, J. and Morenza-cinos, M. Enhancing the shopping experience through RFID in an actual retail store. UbiComp, (2013), 1029--1035.

Digital Library

[9]

Nikitin, P. V., Martinez, R., Ramamurthy, S., Leland, H., Spiess, G., and Rao, K.V.S. Phase based spatial identification of UHF RFID tags. RFID 2010: International IEEE Conference on RFID, (2010), 102--109.

[10]

Parlak, S. and Marsic, I. Detecting Object Motion Using Passive RFID: A Trauma Resuscitation Case Study. IEEE Transactions on Instrumentation and Measurement 62, 9 (2013), 2430--2437.

[11]

Philipose, M. "Large-scale human activity recognition using ultra-dense sensing." The Bridge, National Academy of Engineering 35, 4 (2005).

[12]

Ren, X. Egocentric recognition of handled objects: Benchmark and analysis. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, (2009), 1--8.

[13]

Tapia, E.M., Intille, S.S., and Larson, K. Activity Recognition in the Home Using Simple and Ubiquitous Sensors. Springer Berlin Heidelberg, (2004), 158--175.

[14]

Ward, J. a, Lukowicz, P., Tröster, G., and Starner, T.E. Activity recognition of assembly tasks using body-worn microphones and accelerometers. IEEE Transactions on Pattern Analysis and Machine Intelligence 28, 10 (2006), 1553--1567.

Digital Library

[15]

Weiser, M. The Computer for the Twenty-First Century. Scientific American 265, 3 (1991), 94--104.

Cited By

Kim C(2024)Transforming Everyday Objects into IoT Control Interfaces: Design and Evaluation of the 'e-Rings' SystemArchives of Design Research10.15187/adr.2024.11.37.5.2937:5(29-49)Online publication date: 30-Nov-2024
https://doi.org/10.15187/adr.2024.11.37.5.29
Scott DBringle MFahad IMorales GZahid ASwaminathan S(2024)NeuroCamTags: Long-Range, Battery-free, Wireless Sensing with Neuromorphic CamerasProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785298:3(1-25)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678529
Bhat NGupta ABansal IGovindarajan HBharadia DShu YLiu JTan RHe YChen J(2024)ZenseTag: An RFID assisted Twin-Tag Single Antenna COTS Sensor InterfaceProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699342(336-350)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699342
Show More Cited By

Index Terms

IDSense: A Human Object Interaction Detection System Based on Passive UHF RFID
1. Human-centered computing

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Information

Published In

cover image ACM Conferences

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

April 2015

4290 pages

ISBN:9781450331456

DOI:10.1145/2702123

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

Copyright © 2015 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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

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Disney Research Pittsburgh

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CHI '15

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SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

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CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

Kim C(2024)Transforming Everyday Objects into IoT Control Interfaces: Design and Evaluation of the 'e-Rings' SystemArchives of Design Research10.15187/adr.2024.11.37.5.2937:5(29-49)Online publication date: 30-Nov-2024
https://doi.org/10.15187/adr.2024.11.37.5.29
Scott DBringle MFahad IMorales GZahid ASwaminathan S(2024)NeuroCamTags: Long-Range, Battery-free, Wireless Sensing with Neuromorphic CamerasProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785298:3(1-25)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678529
Bhat NGupta ABansal IGovindarajan HBharadia DShu YLiu JTan RHe YChen J(2024)ZenseTag: An RFID assisted Twin-Tag Single Antenna COTS Sensor InterfaceProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699342(336-350)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699342
Nolan JQian KZhang X(2024)KeyStubProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314427:4(1-23)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631442
Khan MUsman MTahir AFarooq MQayyum AAhmad JAbbas HImran MAbbasi Q(2024)Transparent RFID tag wall enabled by artificial intelligence for assisted livingScientific Reports10.1038/s41598-024-64411-y14:1Online publication date: 16-Sep-2024
https://doi.org/10.1038/s41598-024-64411-y
Wang LShi ZZhao YJing N(2024)AirLock: Unlock in-air via hand rotation recognitionExpert Systems with Applications10.1016/j.eswa.2024.124330(124330)Online publication date: May-2024
https://doi.org/10.1016/j.eswa.2024.124330
Wang GHan LChang YShi YQian CZhao CDing HXi WZhao CZhao J(2023)Cross-technology Communication between Visible Light and Battery-free RFIDsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108837:3(1-20)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610883
Yang XSayono JZhang Y(2023)CubeSense++: Smart Environment Sensing with Interaction-Powered Corner Reflector MechanismsProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606744(1-12)Online publication date: 29-Oct-2023
https://dl.acm.org/doi/10.1145/3586183.3606744
Gupta APark DBashar SGirerd CBhat NMundhra SMorimoto TBharadia D(2023)ForceStickerProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35807937:1(1-32)Online publication date: 28-Mar-2023
https://dl.acm.org/doi/10.1145/3580793
Huang XMiller KSample ABanovic N(2023)StructureSenseProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35703436:4(1-25)Online publication date: 11-Jan-2023
https://dl.acm.org/doi/10.1145/3570343
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