Abstract
In the problem of indoor localization, acoustic schemes exhibit their superiority over radio ways for lower propagation speed of sound in the air. Recent studies upon acoustic positioning and tracking proposed a couple of solutions at millimetre level. Enlightened by the outstanding work of relevant scholars, we propose an acoustic-based interactive system (AIS) for commercial-off-the-shelf (COTS) smartphones, which senses users’ moving states and routes by estimating the Doppler effect of received ultra sound signals using off-the-shelf smartphones. The ultra sound stems from surrounding fixed speakers. We test the performance of AIS with commercial smartphones and speakers in two cases. In the results of our experiments, we can achieve \(1.1\%\) false positive rate and \(8.9\%\) false negative rate for trajectory identification.
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References
Lee, H., Kim, T.H., Choi, J.W., Choi, S.: Chirp signal-based aerial acoustic communication for smart devices. In: 2015 IEEE Conference on Computer Communications (INFOCOM), pp. 2407–2415 (2015)
Link, J., Smith, P., Viol, N., Wehrle, K.: Footpath: accurate map-based indoor navigation using smartphones. In: 2011 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2011, Guimaraes, Portugal, 21–23 September 2011, pp. 1–8 (2011). http://dx.doi.org/10.1109/IPIN.2011.6071934
Mao, W., He, J., Qiu, L.: CAT: high-precision acoustic motion tracking. In: Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, MobiCom 2016, New York City, NY, USA, 3–7 October 2016, pp. 69–81 (2016). http://doi.acm.org/10.1145/2973750.2973755
Nandakumar, R., Chintalapudi, K.K., Padmanabhan, V., Venkatesan, R.: Dhwani: secure peer-to-peer acoustic NFC. SIGCOMM Comput. Commun. Rev. 43(4), 63–74 (2013)
Nandakumar, R., Iyer, V., Tan, D., Gollakota, S.: Fingerio: using active sonar for fine-grained finger tracking. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, CA, USA, 7–12 May 2016, pp. 1515–1525 (2016). http://doi.acm.org/10.1145/2858036.2858580
Peng, C., Shen, G., Zhang, Y., Li, Y., Tan, K.: Beepbeep: a high accuracy acoustic ranging system using COTS mobile devices. In: Proceedings of the 5th International Conference on Embedded Networked Sensor Systems, SenSys 2007, Sydney, NSW, Australia, 6–9 November 2007, pp. 1–14 (2007). http://doi.acm.org/10.1145/1322263.1322265
Wang, W., Liu, A.X., Sun, K.: Device-free gesture tracking using acoustic signals. In: Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, MobiCom 2016, New York City, NY, USA, October 3–7, 2016, pp. 82–94 (2016). http://doi.acm.org/10.1145/2973750.2973764
Wei, T., Zhang, X.: mtrack: high-precision passive tracking using millimeter wave radios. In: Proceedings of the 21st Annual International Conference on Mobile Computing and Networking, MobiCom 2015, Paris, France, 7–11 September 2015, pp. 117–129 (2015). http://doi.acm.org/10.1145/2789168.2790113
Wu, D., Zhang, D., Xu, C., Wang, Y., Wang, H.: Widir: walking direction estimation using wireless signals. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, NY, USA, pp. 351–362 (2016). http://doi.acm.org/10.1145/2971648.2971658
Yun, S., Chen, Y., Qiu, L.: Turning a mobile device into a mouse in the air. In: Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2015, Florence, Italy, 19–22 May 2015, pp. 15–29 (2015). http://doi.acm.org/10.1145/2742647.2742662
Zhang, H., Du, W., Zhou, P., Li, M., Mohapatra, P.: Dopenc: acoustic-based encounter profiling using smartphones. In: Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, MobiCom 2016, NY, USA, pp. 294–307 (2016). http://doi.acm.org/10.1145/2973750.2973775
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Zhou, X., Huang, L., Xu, Y., Yang, W. (2017). AIS: An Inaudible Guider in Your Smartphone. In: Ma, L., Khreishah, A., Zhang, Y., Yan, M. (eds) Wireless Algorithms, Systems, and Applications. WASA 2017. Lecture Notes in Computer Science(), vol 10251. Springer, Cham. https://doi.org/10.1007/978-3-319-60033-8_60
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DOI: https://doi.org/10.1007/978-3-319-60033-8_60
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