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PCIAS: Precise and Contactless Measurement of Instantaneous Angular Speed Using a Smartphone

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Published:27 December 2018Publication History
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Abstract

Measuring Instantaneous Angular Speed (IAS) of rotating objects is ubiquitous in industry and our daily life. Engineers diagnose the operation condition of engines with IAS. Anemometers obtain instantaneous wind speed with the IAS of rotating cups. Traditional IAS measurement systems have their limitations in the aspects of installation, accuracy, and cost. In this paper, we propose PCIAS, a system that uses acoustic signals of a smartphone to measure IAS of rotating objects in a contactless manner. PCIAS covers a pretty large IAS measurement range (the numerical interval of IAS) from 10 Revolutions Per Minute (RPM) to 10000 RPM, which outperforms almost all existing Commercial-Off-The-Shelf (COTS) IAS meters. In PCIAS, we first choose an appropriate measurement range according to applications. We then use the smartphone to collect acoustic signals backscattered or generated by the object. Next, we extract acoustic features of the object to eliminate interferences from the environment. After that, we propose a robust tracking algorithm to estimate IAS by matching cycle time length of acoustic features adaptively. We build two testbeds to evaluate the accuracy and the robustness of our system in different IAS ranges. Our experiments show that PCIAS achieves a relative accuracy of more than 92% in the low IAS range, more than 94% in the middle IAS range, and more than 96% in the high IAS range. Finally, We exhibit two typical cases to demonstrate the practical use of our system.

References

  1. Jagmohan Chauhan, Yining Hu, Suranga Seneviratne, Archan Misra, Aruna Seneviratne, and Youngki Lee. 2017. BreathPrint: Breathing acoustics-based user authentication. In Proceedings of ACM MobiSys. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Huijie Chen, Fan Li, and Yu Wang. 2017. EchoTrack: Acoustic device-free hand tracking on smart phones. In Proceedings of IEEE INFOCOM.Google ScholarGoogle ScholarCross RefCross Ref
  3. Victor C Chen, William J Miceli, and David Tahmoush. 2014. Radar micro-Doppler signatures: processing and applications. IET.Google ScholarGoogle Scholar
  4. Ingrid Daubechies. 1992. Ten lectures on wavelets. Vol. 61. Siam. Google ScholarGoogle Scholar
  5. JJM De Wit, RIA Harmanny, and P Molchanov. 2014. Radar micro-Doppler feature extraction using the singular value decomposition. In International Radar Conference.Google ScholarGoogle ScholarCross RefCross Ref
  6. Arthur F Deming. 1940. Propeller rotation noise due to torque and thrust. The Journal of the Acoustical Society of America 12, 1 (1940), 173--182.Google ScholarGoogle ScholarCross RefCross Ref
  7. Elisabeth Eitel. 2014. Basics of rotary encoders: Overview and new technologies. Machine Design Magazine 7 (2014).Google ScholarGoogle Scholar
  8. Hongwei Gao, Lianggui Xie, Shuliang Wen, and Yong Kuang. 2010. Micro-Doppler signature extraction from ballistic target with micro-motions. IEEE Trans. Aerospace Electron. Systems 46, 4 (2010), 1969--1982.Google ScholarGoogle ScholarCross RefCross Ref
  9. Vikram Iyer, Justin Chan, and Shyamnath Gollakota. 2017. 3D printing wireless connected objects. ACM Transactions on Graphics 36, 6 (2017), 242. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Bing Li, Xining Zhang, and Tingting Wu. 2018. Measurement of Instantaneous Angular Displacement Fluctuation and its applications on gearbox fault detection. ISA transactions 74 (2018), 245--260.Google ScholarGoogle Scholar
  11. Yuhua Li, Fengshou Gu, Georgina Harris, Andrew Ball, Nick Bennett, and Ken Travis. 2005. The measurement of instantaneous angular speed. Mechanical Systems and Signal Processing 19, 4 (2005), 786--805.Google ScholarGoogle ScholarCross RefCross Ref
  12. David G Lowe. 2004. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60, 2 (2004), 91--110. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Wenguang Mao, Jian He, and Lili Qiu. 2016. CAT: high-precision acoustic motion tracking. In Proceedings of ACM MobiCom. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Wenguang Mao and Lili Qiu. 2018. DroneTrack: An Indoor Follow-Me System Using Acoustic Signals. GetMobile: Mobile Computing and Communications 21, 4 (2018), 22--24. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Kunio Miyashita, Tadashi Takahashi, and MUNESADA Yamanaka. 1987. Features of a magnetic rotary encoder. IEEE Transactions on Magnetics 23, 5 (1987), 2182--2184.Google ScholarGoogle ScholarCross RefCross Ref
  16. Rajalakshmi Nandakumar, Shyamnath Gollakota, and Nathaniel Watson. 2015. Contactless sleep apnea detection on smartphones. In Proceedings of ACM MobiSys. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Rajalakshmi Nandakumar, Vikram Iyer, Desney Tan, and Shyamnath Gollakota. 2016. FingerIO: Using Active Sonar for Fine-Grained Finger Tracking. In Proceedings of ACM CHI. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Caner Ozdemir. 2012. Inverse synthetic aperture radar imaging with MATLAB algorithms. Vol. 210. John Wiley & Sons.Google ScholarGoogle Scholar
  19. Swadhin Pradhan, Ghufran Baig, Wenguang Mao, Lili Qiu, Guohai Chen, and Bo Yang. 2018. Smartphone-based Acoustic Indoor Space Mapping. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 2 (2018), 75. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Seymour Stein. 1981. Algorithms for ambiguity function processing. IEEE Transactions on Acoustics, Speech, and Signal Processing 29, 3 (1981), 588--599.Google ScholarGoogle ScholarCross RefCross Ref
  21. Yu-Chih Tung and Kang G Shin. 2015. Echotag: Accurate infrastructure-free indoor location tagging with smartphones. In Proceedings of ACM MobiCom. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Yu-Chih Tung and Kang G Shin. 2016. Expansion of human-phone interface by sensing structure-borne sound propagation. In Proceedings of ACM MobiSys. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Dinesh Vij and Naveen Aggarwal. 2018. Smartphone based traffic state detection using acoustic analysis and crowdsourcing. Applied Acoustics 138 (2018), 80--91.Google ScholarGoogle ScholarCross RefCross Ref
  24. Jian Wang, Rukhsana Ruby, Lu Wang, and Kaishun Wu. 2016. Accurate Combined Keystrokes Detection Using Acoustic Signals. In Proceedings of IEEE MSN.Google ScholarGoogle ScholarCross RefCross Ref
  25. Wei Wang, Alex X Liu, and Muhammad Shahzad. 2016. Gait recognition using wifi signals. In Proceedings of ACM UbiComp. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Wei Wang, Alex X Liu, and Ke Sun. 2016. Device-free gesture tracking using acoustic signals. In Proceedings of ACM MobiCom. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Wei Wang, Lei Xie, and Xun Wang. 2017. Tremor detection using smartphone-based acoustic sensing. In Proceedings of ACM UbiComp. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Xiangyu Xu, Jiadi Yu, Yingying Chen, Yanmin Zhu, and Minglu Li. 2018. SteerTrack: Acoustic-Based Device-Free Steering Tracking Leveraging Smartphones. In Proceedings of IEEE SECON.Google ScholarGoogle ScholarCross RefCross Ref
  29. Lei Yang, Yao Li, Qiongzheng Lin, Huanyu Jia, Xiang-Yang Li, and Yunhao Liu. 2017. Tagbeat: Sensing Mechanical Vibration Period With COTS RFID Systems. IEEE/ACM Transactions on Networking 25, 6 (2017), 3823--3835. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Shanhe Yi, Zhengrui Qin, Nancy Carter, and Qun Li. 2017. WearLock: unlocking your phone via acoustics using smartwatch. In Proceedings of IEEE ICDCS.Google ScholarGoogle ScholarCross RefCross Ref
  31. SD Yu and X Zhang. 2010. A data processing method for determining instantaneous angular speed and acceleration of crankshaft in an aircraft engine--propeller system using a magnetic encoder. Mechanical Systems and Signal Processing 24, 4 (2010), 1032--1048.Google ScholarGoogle ScholarCross RefCross Ref
  32. Sangki Yun, Yi-Chao Chen, Huihuang Zheng, Lili Qiu, and Wenguang Mao. 2017. Strata: Fine-Grained Acoustic-based Device-Free Tracking. In Proceedings of ACM MobiSys. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Huanle Zhang, Wan Du, Pengfei Zhou, Mo Li, and Prasant Mohapatra. 2016. DopEnc: acoustic-based encounter profiling using smartphones. In Proceedings of ACM MobiCom. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Maotian Zhang, Panlong Yang, Chang Tian, Lei Shi, Shaojie Tang, and Fu Xiao. 2015. Soundwrite: Text input on surfaces through mobile acoustic sensing. In Proceedings of ACM SmartObjects. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Zehui Zheng, Weifeng Liu, Rukhsana Ruby, Yongpan Zou, and Kaishun Wu. 2017. ABAid: Navigation Aid for Blind People Using Acoustic Signal. In Proceedings of IEEE MASS.Google ScholarGoogle ScholarCross RefCross Ref
  36. Jianfeng Zhong, Shuncong Zhong, Qiukun Zhang, and Zhike Peng. 2018. Measurement of instantaneous rotational speed using double-sine-varying-density fringe pattern. Mechanical Systems and Signal Processing 103 (2018), 117--130.Google ScholarGoogle ScholarCross RefCross Ref

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  1. PCIAS: Precise and Contactless Measurement of Instantaneous Angular Speed Using a Smartphone

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    • Published in

      cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
      Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 2, Issue 4
      December 2018
      1169 pages
      EISSN:2474-9567
      DOI:10.1145/3301777
      Issue’s Table of Contents

      Copyright © 2018 ACM

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      Publication History

      • Published: 27 December 2018
      • Revised: 1 October 2018
      • Accepted: 1 October 2018
      • Received: 1 August 2018
      Published in imwut Volume 2, Issue 4

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