Towards Physical-Layer Vibration Sensing with RFIDs

Conventional vibration sensing systems, equipped with specific sensors (e.g., accelerometer) and communication modules, are either expensive or cumbersome in deployment. In recent years, the community revisits this classic topic by taking advantage of off-the-shelf RFIDs. However, limited by lower reading rate and larger wavelength, current RFID based solutions can only sense low-frequency (e.g. below 100Hz) mechanical vibrations with larger amplitude (e.g. (>) 5mm). To address this issue, this work presents TagSound, an RFID-based vibration sensing system that explores a tag’s harmonic backscattering to recover high-frequency and tiny mechanical vibrations accurately. The key innovations are in two aspects: harmonics based sensing and a new recovery scheme. We implement TagSound with USRP platforms. Our comprehensive evaluation shows TagSound can achieve a mean error of 0.37 Hz when detecting vibrations at frequencies below 100Hz, and a mean error of 4.2 Hz even when the vibration frequency is up to 2500Hz.

[1]  Yaguo Lei,et al.  Application of an intelligent classification method to mechanical fault diagnosis , 2009, Expert Syst. Appl..

[2]  Smail Tedjini,et al.  Harmonics in Wireless Power Transfer (H-WPT): Passive UHF RFID Case , 2014 .

[3]  Xu Chen,et al.  Tracking Vital Signs During Sleep Leveraging Off-the-shelf WiFi , 2015, MobiHoc.

[4]  Shu Wang,et al.  Acoustic Eavesdropping through Wireless Vibrometry , 2015, MobiCom.

[5]  Smail Tedjini,et al.  Harmonic Power Harvesting System for Passive RFID Sensor Tags , 2016, IEEE Transactions on Microwave Theory and Techniques.

[6]  Lei Yang,et al.  Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices , 2014, MobiCom.

[7]  Pavel V. Nikitin,et al.  Harmonic scattering from passive UHF RFID tags , 2009, 2009 IEEE Antennas and Propagation Society International Symposium.

[8]  Yunfei Ma,et al.  Accurate Indoor Ranging by Broadband Harmonic Generation in Passive NLTL Backscatter Tags , 2014, IEEE Transactions on Microwave Theory and Techniques.

[9]  Sangki Yun,et al.  Indoor Follow Me Drone , 2017, MobiSys.

[10]  Frédo Durand,et al.  The visual microphone , 2014, ACM Trans. Graph..

[11]  Wei Xi,et al.  CBID: A Customer Behavior Identification System Using Passive Tags , 2014, 2014 IEEE 22nd International Conference on Network Protocols.

[12]  Mark Chounlakone,et al.  The Laser Microphone , 2022 .

[13]  Lei Yang,et al.  Robust Spinning Sensing with Dual-RFID-Tags in Noisy Settings , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications.

[14]  Lei Xie,et al.  RF-ECG , 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

[15]  Enrico Primo Tomasini,et al.  Laser Doppler Vibrometry: Development of advanced solutions answering to technology's needs , 2006 .

[16]  Lei Yang,et al.  Making sense of mechanical vibration with COTS RFID systems: demo , 2016, MobiCom.