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Demo: The RFID Can Hear Your Music Play

Published: 11 October 2019 Publication History

Abstract

In this work, we devise RF-DJ, a contactless music recognition system with the help of COTS RFID device. Since the music is caused by vibration and the vibration can influence the RF signal, our system could accurately recover the frequency of every tone, especially string instruments. Specifically, RF-DJ is immune to noises from the player/instrument motions and the ambient environment. Further more, it can recover the high frequency signal from the relatively low sampling rate data. In our demonstration, we put one tag on the surface of ukulele (not the string) and achieve the overall recognition accuracy of $93%, 90%, 87%, 81%$ when using 1,2,3,4 strings, respectively. Compared to typical machine learning based RF sensing systems, our system is model driven instead of data driven, which requires little training effort and could be applicable across different locations. Last but not the least, our system can also be used for other instruments such as zither, violin and kalimba and shows similarly good performances.

References

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Chunhui Duan, Lei Yang, Huanyu Jia, Qiongzheng Lin, Yunhao Liu, and Lei Xie. 2018. Robust Spinning Sensing with Dual-RFID-Tags in Noisy Settings. Energy 1 (2018), 1--1.
[2]
EPCglobal. 2000. EPCglobal. Low level reader protocol.
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Impinj. 2002. Impinj, Inc. http://www.impinj.com/.
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Ping Li, Zhenlin An, Lei Yang, and Panlong Yang. 2019. Towards physical-layer vibration sensing with rfids. In IEEE INFOCOM 2019-IEEE Conference on Computer Communications. IEEE, 892--900.
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LLRP. 2006. LLRP Toolkit. http://llrp.org/.
[6]
UkuTuner. 2010. URL: https://ukutuner.com/. (2010).
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Jue Wang, Deepak Vasisht, and Dina Katabi. 2014. RF-IDraw: virtual touch screen in the air using RF signals. In ACM SIGCOMM Computer Communication Review, Vol. 44. ACM, 235--246.
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Lei Yang, Yao Li, Qiongzheng Lin, Xiang-Yang Li, and Yunhao Liu. 2016. Making sense of mechanical vibration period with sub-millisecond accuracy using backscatter signals. In Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking. ACM, 16--28.
[9]
Lei Yang, Qiongzheng Lin, Xiangyang Li, Tianci Liu, and Yunhao Liu. 2015. See through walls with cots rfid system!. In Proceedings of the 21st Annual International Conference on Mobile Computing and Networking. ACM, 487--499.
[10]
Yilun Zheng, Yuan He, Meng Jin, Xiaolong Zheng, and Yunhao Liu. 2018. RED: RFID-based eccentricity detection for high-speed rotating machinery. In IEEE INFOCOM 2018-IEEE Conference on Computer Communications. IEEE, 1565--1573.

Cited By

View all
  • (2025)A Comprehensive Survey of Side-Channel Sound-Sensing MethodsIEEE Internet of Things Journal10.1109/JIOT.2024.350133412:2(1554-1578)Online publication date: 15-Jan-2025
  • (2023)RF-MicProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35962597:2(1-25)Online publication date: 12-Jun-2023
  • (2022)A Review of Radio Frequency Identification Sensing Systems for Structural Health MonitoringMaterials10.3390/ma1521785115:21(7851)Online publication date: 7-Nov-2022

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Published In

cover image ACM Conferences
MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking
August 2019
1017 pages
ISBN:9781450361699
DOI:10.1145/3300061
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 October 2019

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Author Tags

  1. contactless sensing
  2. music
  3. rfid system
  4. vibration

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  • Demonstration

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MobiCom '19
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Overall Acceptance Rate 440 of 2,972 submissions, 15%

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Cited By

View all
  • (2025)A Comprehensive Survey of Side-Channel Sound-Sensing MethodsIEEE Internet of Things Journal10.1109/JIOT.2024.350133412:2(1554-1578)Online publication date: 15-Jan-2025
  • (2023)RF-MicProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35962597:2(1-25)Online publication date: 12-Jun-2023
  • (2022)A Review of Radio Frequency Identification Sensing Systems for Structural Health MonitoringMaterials10.3390/ma1521785115:21(7851)Online publication date: 7-Nov-2022

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