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Device-Free Behavior Recognition

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Human Behavior Analysis: Sensing and Understanding

Abstract

Traditional methods to sense and recognize human behavior include using wearable devices, cameras, and devices embedded in the environment. Recently, a new kind of behavior sensing approach, device-free behavior sensing, attracts a great amount of interests as it holds the promise to provide a ubiquitous sensing solution by using the pervasive signal (including RF signal, acoustic signal, optical signal, etc). In this chapter, we first introduce the basic concept of device-free behavior sensing and understanding, and then present two typical device-free behavior sensing approaches, i.e., Wi-Fi based and acoustic based.

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Authors and Affiliations

  1. School of Computer Science, Northwestern Polytechnical University, Xi’an, China

    Zhiwen Yu & Zhu Wang

Authors
  1. Zhiwen Yu
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  2. Zhu Wang
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Yu, Z., Wang, Z. (2020). Device-Free Behavior Recognition. In: Human Behavior Analysis: Sensing and Understanding. Springer, Singapore. https://doi.org/10.1007/978-981-15-2109-6_4

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  • DOI: https://doi.org/10.1007/978-981-15-2109-6_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2108-9

  • Online ISBN: 978-981-15-2109-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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