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Wi-Dog: Monitoring School Violence with Commodity WiFi Devices

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Wireless Algorithms, Systems, and Applications (WASA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10251))

Abstract

Monitoring school violence is critical for the prevention of juvenile delinquency and promotion of social harmony. Pioneering approaches employ always-on-body sensors or cameras with limited surveillance area, which cannot provide ubiquitous violence monitoring. In this paper, we present Wi-Dog, a non-invasive physical violence monitoring scheme based on commodity WiFi infrastructures. The key intuition is that violence-induced WiFi signals convey informative characteristics of intensity, irregularity and continuity. To identify school violence from violence-alike actions (e.g., jump, lie down and run), we develop a precise noise reduction method by selecting sensitive antenna pair and subcarriers. Moreover, a wavelet-entropy-based segmentation method is proposed to detect movement transitions in the distance, and the complete local-global analysis is further adopted to improve overall performance. We implemented Wi-Dog using commercial WiFi devices and evaluated it in real indoor environments. Experimental results demonstrate the effectiveness of Wi-Dog with average detection accuracy of 0.9.

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Authors and Affiliations

  1. PLA University of Science and Technology, Nanjing, China

    Qizhen Zhou, Jianchun Xing & Qiliang Yang

  2. Tsinghua University, Beijing, China

    Chenshu Wu & Zheng Yang

  3. Technical Management Office of Naval Defense Engineering, Beijing, China

    Juelong Li

Authors
  1. Qizhen Zhou
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  2. Chenshu Wu
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  3. Jianchun Xing
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  4. Juelong Li
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  5. Zheng Yang
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  6. Qiliang Yang
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Corresponding author

Correspondence to Jianchun Xing .

Editor information

Editors and Affiliations

  1. Texas Christian University, Fort Worth, Texas, USA

    Liran Ma

  2. New Jersey Institute of Technology, Newark, New Jersey, USA

    Abdallah Khreishah

  3. University of Oslo, Oslo, Norway

    Yan Zhang

  4. University of North Georgia, Dahlonega, Georgia, USA

    Mingyuan Yan

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Zhou, Q., Wu, C., Xing, J., Li, J., Yang, Z., Yang, Q. (2017). Wi-Dog: Monitoring School Violence with Commodity WiFi Devices. 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_5

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  • DOI: https://doi.org/10.1007/978-3-319-60033-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60032-1

  • Online ISBN: 978-3-319-60033-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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