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A Wi-Fi Positioning Method Considering Radio Attenuation of Human Body

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Human Activity Sensing

Part of the book series: Springer Series in Adaptive Environments ((SPSADENV))

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Abstract

The importance of location information is increasing more and more. Therefore, research on indoor positioning technology is actively conducted. Among them, Wi-Fi positioning is attracting attention because of its low introduction cost. However, since the Wi-Fi is blocked by the human body, the RSSI decreases. Therefore, we investigated radio wave attenuation by human body in preliminary experiments. We describe related research and its problems.

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References

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Author information

Authors and Affiliations

  1. Graduated School of Information Science and Engineering, Ritsumeikan University, Kyoto, Shiga, Japan

    Shohei Harada

  2. College of Information Science and Engineering, Ritsumeikan University, Kyoto, Shiga, Japan

    Kazuya Murao & Nobuhiko Nishio

  3. Research Organization of Science and Technology, Ritsumeikan University, Kyoto, Shiga, Japan

    Masahiro Mochizuki

Authors
  1. Shohei Harada
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  2. Kazuya Murao
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  3. Masahiro Mochizuki
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  4. Nobuhiko Nishio
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Corresponding author

Correspondence to Shohei Harada .

Editor information

Editors and Affiliations

  1. Institute of Innovation for Future Society, Nagoya University, Nagoya, Japan

    Nobuo Kawaguchi

  2. Department of Computer Science, Ritsumeikan University, Kyoto, Japan

    Nobuhiko Nishio

  3. University of Sussex, Brighton, UK

    Daniel Roggen

  4. Kyushu Institute of Technology, Kitakyushu, Fukuoka, Japan

    Sozo Inoue

  5. Center for Ubiquitous Computing, University of Oulu, Oulu, Finland

    Susanna Pirttikangas

  6. Ubiquitous Computing, University of Siegen, Siegen, Germany

    Kristof Van Laerhoven

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Harada, S., Murao, K., Mochizuki, M., Nishio, N. (2019). A Wi-Fi Positioning Method Considering Radio Attenuation of Human Body. In: Kawaguchi, N., Nishio, N., Roggen, D., Inoue, S., Pirttikangas, S., Van Laerhoven, K. (eds) Human Activity Sensing. Springer Series in Adaptive Environments. Springer, Cham. https://doi.org/10.1007/978-3-030-13001-5_5

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  • DOI: https://doi.org/10.1007/978-3-030-13001-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-13000-8

  • Online ISBN: 978-3-030-13001-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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