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Analysis of Walking Body Using Kinect2 and Application of Integer Code to WBAN

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13th EAI International Conference on Body Area Networks (BODYNETS 2018)

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

In this paper, we investigate the electromagnetic field analysis on time and space of a walking human body using Kinect2, a motion sensing device produced by Microsoft. More precisely, we capture walking motions of human body using Kinect2 and applying the simulation model constructed from the captured data to OpenFDTD, we derive the distribution of transmission coefficient S 21 (the transmission-reception power ratio) in Industry Science Medical (ISM) band of 2.4 GHz around the human body model. We then evaluate the Bit Error Rate (BER) of the communication path considering the transmission coefficient. In particular, we propose integer codes defined over finite rings of integers as a suitable candidate for WBAN systems, and compare the error correcting performance of integer codes with that of BCH codes, error correcting codes recommended in WBAN standard.

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Author information

Authors and Affiliations

  1. Graduate School of Information Systems, The University of Electro-Communications, Chofu, Tokyo, Japan

    Hirohisa Kitahara & Hiroyoshi Morita

  2. Shonan Institute of Technology, Fujisawa, Kanagawa, Japan

    Akiko Manada

Authors
  1. Hirohisa Kitahara
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  2. Hiroyoshi Morita
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  3. Akiko Manada
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Corresponding author

Correspondence to Hirohisa Kitahara .

Editor information

Editors and Affiliations

  1. Yokohama National University, Yokohama, Kanagawa, Japan

    Chika Sugimoto

  2. KTH Royal Institute of Technology, Stockholm, Stockholms Län, Sweden

    Hamed Farhadi

  3. Centre for Wireless Communications, University of Oulu, Oulu, Finland

    Matti Hämäläinen

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Kitahara, H., Morita, H., Manada, A. (2020). Analysis of Walking Body Using Kinect2 and Application of Integer Code to WBAN. In: Sugimoto, C., Farhadi, H., Hämäläinen, M. (eds) 13th EAI International Conference on Body Area Networks . BODYNETS 2018. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-29897-5_21

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  • DOI: https://doi.org/10.1007/978-3-030-29897-5_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29896-8

  • Online ISBN: 978-3-030-29897-5

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