Binbin Xie
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Abstract
Wireless sensing is an exciting new research area which enables a large variety of applications ranging from coarse-grained daily activity recognition to fine-grained vital sign monitoring. While promising in many aspects, one critical issue is the limited sensing range because weak reflection signals are used for sensing. Recently, LoRa signals are exploited for wireless sensing, moving a big step towards long-range sensing. Although promising, there is still a huge room for improvement. In this work, we qualitatively characterize the relationship between target movements and target-induced signal variations, and propose signal processing methods to enlarge the induced signal variation to achieve a longer sensing range. Experiment results show that the proposed system (1) pushes the contact-free sensing range of human walking from the state-of-the-art 50 m to 120 m; (2) achieves a sensing range of 75 m for fine-grained respiration sensing; and (3) demonstrates human respiration sensing even through seven concrete walls.
- Hexoskin smart garments. https://www.hexoskin.com/.Google Scholar
- Labview. https://www.ettus.com/sdr-software/labview/.Google Scholar
- Lora shield. https://www.dragino.com/products/lora/item/102-lora-shield.html.Google Scholar
- Smart agriculture with lora. https://www.semtech.com/lora/lora-applications/smart-agriculture.Google Scholar
- Usrp x310. https://www.ettus.com/all-products/x310-kit/.Google Scholar
- F. Adib, H. Mao, Z. Kabelac, D. Katabi, and R. C. Miller. Smart homes that monitor breathing and heart rate. In 33rd annual ACM conference on human factors in computing systems (CHI), pages 837-846. ACM, 2015.Google Scholar
- R. O. Andrade and S. G. Yoo. A comprehensive study of the use of lora in the development of smart cities. Applied Sciences, 9(22):4753, 2019.Google ScholarCross Ref
- L. Chen, J. Xiong, X. Chen, S. I. Lee, K. Chen, D. Han, D. Fang, Z. Tang, and Z. Wang. Widesee: towards wide-area contactless wireless sensing. In 17th Conference on Embedded Networked Sensor Systems (SenSys), pages 258-270. ACM, 2019.Google ScholarDigital Library
- A. Dhekne, M. Gowda, Y. Zhao, H. Hassanieh, and R. R. Choudhury. Liquid: A wireless liquid identifier. In 16th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys), pages 442-454. ACM, 2018.Google ScholarDigital Library
- K.-H. Ke, Q.-W. Liang, G.-J. Zeng, J.-H. Lin, and H.-C. Lee. A lora wireless mesh networking module for campus-scale monitoring: demo abstract. In 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), pages 259-260. ACM/IEEE, 2017.Google ScholarDigital Library
- H. Kim, A. Byanjankar, Y. Liu, Y. Shu, and I. Shin. Ubitap: Leveraging acoustic dispersion for ubiquitous touch interface on solid surfaces. In 16th ACM Conference on Embedded Networked Sensor Systems (SenSys), pages 211-223. ACM, 2018.Google ScholarDigital Library
- P. Kodeswaran, R. Kokku, M. Mallick, and S. Sen. Demultiplexing activities of daily living in iot enabled smarthomes. In IEEE International Conference on Computer Communications (INFOCOM), pages 1-9. IEEE, 2016.Google ScholarDigital Library
- A. Lavric, A. I. Petrariu, E. Coca, and V. Popa. Lora traffic generator based on software defined radio technology for lora modulation orthogonality analysis: Empirical and experimental evaluation. Sensors, 20(15):4123, 2020.Google ScholarCross Ref
- T. Li, C. An, Z. Tian, A. T. Campbell, and X. Zhou. Human sensing using visible light communication. In 21st Annual International Conference on Mobile Computing and Networking (MobiCom), pages 331-344. ACM, 2015.Google ScholarDigital Library
- T. Li, Q. Liu, and X. Zhou. Practical human sensing in the light. In 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys), pages 71-84. ACM, 2016.Google ScholarDigital Library
- J. C. Liando, A. Gamage, A. W. Tengourtius, and M. Li. Known and unknown facts of lora: Experiences from a large-scale measurement study. ACM Transactions on Sensor Networks, 15(2):1-35, 2019.Google ScholarDigital Library
- J. Liu, Y. Wang, Y. Chen, J. Yang, X. Chen, and J. Cheng. Tracking vital signs during sleep leveraging off-the-shelf wifi. In 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), pages 267-276. ACM, 2015.Google ScholarDigital Library
- W. Mao, M. Wang, W. Sun, L. Qiu, S. Pradhan, and Y.-C. Chen. Rnn-based room scale hand motion tracking. In 25th Annual International Conference on Mobile Computing and Networking (MobiCom), pages 1-16. ACM, 2019.Google ScholarDigital Library
- K. Niu, F. Zhang, J. Xiong, X. Li, E. Yi, and D. Zhang. Boosting fine-grained activity sensing by embracing wireless multipath effects. In ACM International Conference on emerging Networking EXperiments and Technologies (CONEXT), pages 139-151. ACM, 2018.Google ScholarDigital Library
- Q. Pu, S. Gupta, S. Gollakota, and S. Patel. Whole-home gesture recognition using wireless signals. In 19th Annual International Conference on Mobile Computing and Networking (MobiCom), pages 27-38, 2013.Google ScholarDigital Library
- N. Roy, H. Hassanieh, and R. Roy Choudhury. Backdoor: Making microphones hear inaudible sounds. In 15th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys), pages 2-14. ACM, 2017.Google ScholarDigital Library
- S. Shen, H. Wang, and R. Roy Choudhury. I am a smartwatch and i can track my user's arm. In International Conference on Mobile Systems, Applications, and Services (MobiSys), pages 85-96. ACM, 2016.Google ScholarDigital Library
- V. Talla, M. Hessar, B. Kellogg, A. Najafi, J. R. Smith, and S. Gollakota. Lora backscatter: Enabling the vision of ubiquitous connectivity. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 1(3):1-24, 2017.Google Scholar
- Y. Tian, G.-H. Lee, H. He, C.-Y. Hsu, and D. Katabi. Rf-based fall monitoring using convolutional neural networks. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2(3):1-24, 2018.Google Scholar
- R. H. Venkatnarayan and M. Shahzad. Gesture recognition using ambient light. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2(1):1-28, 2018.Google Scholar
- A. Wang and S. Gollakota. Millisonic: Pushing the limits of acoustic motion tracking. In 37th annual ACM conference on human factors in computing systems (CHI), pages 1-11. ACM, 2019.Google Scholar
- C. Wang, L. Xie, W. Wang, Y. Chen, Y. Bu, and S. Lu. Rf-ecg: Heart rate variability assessment based on cots rfid tag array. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2(2):1-26, 2018.Google ScholarDigital Library
- H. Wang, D. Zhang, J. Ma, Y. Wang, Y. Wang, D. Wu, T. Gu, and B. Xie. Human respiration detection with commodity wifi devices: do user location and body orientation matter? In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), pages 25-36. ACM, 2016.Google ScholarDigital Library
- J. Wang, L. Chang, S. Aggarwal, O. Abari, and S. Keshav. Soil moisture sensing with commodity rfid systems. In 18th International Conference on Mobile Systems, Applications, and Services (MobiSys), pages 273-285. ACM, 2020.Google ScholarDigital Library
- 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 22nd Annual International Conference on Mobile Computing and Networking (MobiCom), pages 243-256. ACM, 2016.Google ScholarDigital Library
- J. Wang, J. Xiong, H. Jiang, X. Chen, and D. Fang. D-watch: Embracing "bad" multipaths for device-free localization with cots rfid devices. IEEE/ACM Transactions on Networking, 25(6):3559-3572, 2017.Google ScholarDigital Library
- J. Wang, J. Zhang, R. Saha, H. Jin, and S. Kumar. Pushing the range limits of commercial passive rfids. In SENIX Symposium on Networked Systems Design and Implementation (USENIX NSDI), pages 301-316, 2019.Google Scholar
- T. Wang, D. Zhang, Y. Zheng, T. Gu, X. Zhou, and B. Dorizzi. C-fmcw based contactless respiration detection using acoustic signal. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 1(4):1-20, 2018.Google Scholar
- W. Wang, A. X. Liu, and M. Shahzad. Gait recognition using wifi signals. In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), pages 363-373. ACM, 2016.Google ScholarDigital Library
- W. Wang, A. X. Liu, M. Shahzad, K. Ling, and S. Lu. Understanding and modeling of wifi signal based human activity recognition. In 21st Annual International Conference on Mobile Computing and Networking (MobiCom), pages 65-76. ACM, 2015.Google ScholarDigital Library
- T. Wei and X. Zhang. mtrack: High-precision passive tracking using millimeter wave radios. In International Conference on Mobile Computing and Networking (MobiCom), pages 117-129, 2015.Google ScholarDigital Library
- C. Wu, F. Zhang, Y. Fan, and K. R. Liu. Rf-based inertial measurement. In ACM Special Interest Group on Data Communication (SIGCOMM), pages 117-129. ACM, 2019.Google Scholar
- B. Xie, D. Fang, T. Xing, L. Zhang, X. Chen, Z. Tang, and A. Wang. Fiscp: fine-grained device-free positioning system for multiple targets working in sparse deployments. Wireless Networks, 22(5):1751-1766, 2016.Google ScholarDigital Library
- B. Xie and J. Xiong. Combating interference for long range lora sensing. In 18th ACM Conference on Embedded Networked Sensor Systems (SenSys), pages 69-81. ACM, 2020.Google ScholarDigital Library
- B. Xie, J. Xiong, X. Chen, E. Chai, L. Li, Z. Tang, and D. Fang. Tagtag: material sensing with commodity rfid. In 17th Conference on Embedded Networked Sensor Systems (SenSys), pages 338-350. ACM, 2019.Google ScholarDigital Library
- B. Xie, J. Xiong, X. Chen, and D. Fang. Exploring commodity rfid for contactless sub-millimeter vibration sensing. In 18th Annual International Conference on Embedded Networked Sensor Systems (SenSys), pages 15-27. ACM, 2020.Google ScholarDigital Library
- Y. Xie, J. Xiong, M. Li, and K. Jamieson. md-track: Leveraging multi-dimensionality for passive indoor wi-fi tracking. In 25th Annual International Conference on Mobile Computing and Networking (MobiCom), pages 1-16. ACM, 2019.Google ScholarDigital Library
- Z. Yang, P. H. Pathak, Y. Zeng, X. Liran, and P. Mohapatra. Monitoring vital signs using millimeter wave. In 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), pages 211-220. ACM, 2016.Google ScholarDigital Library
- Y. Zeng, D. Wu, J. Xiong, J. Liu, Z. Liu, and D. Zhang. Multisense: Enabling multi-person respiration sensing with commodity wifi. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 4(3):1-29, 2020.Google Scholar
- Y. Zeng, D. Wu, J. Xiong, E. Yi, R. Gao, and D. Zhang. Farsense: Pushing the range limit of wifi-based respiration sensing with csi ratio of two antennas. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 3(3):1-26, 2019.Google ScholarDigital Library
- F. Zhang, Z. Chang, K. Niu, J. Xiong, B.Jin, Q. Lv, and D. Zhang. Exploring lora for long-range through-wall sensing. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 4(2):1-27, 2020.Google Scholar
- F. Zhang, Z. Chang, J. Xiong, R. Zheng, J. Ma, K. Niu, B. Jin, and D. Zhang. Unlocking the beamforming potential of lora for long-range multi-target respiration sensing. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 5(2):1-25, 2021.Google Scholar
- J. Zhang, Z. Tang, M. Li, D. Fang, P. Nurmi, and Z. Wang. Crosssense: Towards cross-site and large-scale wifi sensing. In 24th Annual International Conference on Mobile Computing and Networking (MobiCom), pages 305-320. ACM, 2018.Google ScholarDigital Library
- M. Zhao, F. Adib, and D. Katabi. Emotion recognition using wireless signals. In 22nd Annual International Conference on Mobile Computing and Networking (MobiCom), pages 95-108. ACM, 2016.Google ScholarDigital Library
- M. Zhao, S. Yue, D. Katabi, T. S. Jaakkola, and M. T. Bianchi. Learning sleep stages from radio signals: A conditional adversarial architecture. In International Conference on Machine Learning (ICML), pages 4100-4109, 2017.Google Scholar
Index Terms
- Pushing the Limits of Long Range Wireless Sensing with LoRa
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