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  • High reliability body sensor network using gesture triggered burst transmission

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    AlhusseinawiPUB798.pdf (441.8Kb)
    Author(s)
    Sabti, Haider A
    Thiel, David V
    Griffith University Author(s)
    Thiel, David V.
    Alhusseinawi, Haider
    Year published
    2015
    Metadata
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    Abstract
    Body Sensor Networks (BSN) is a developing area of research that allows wireless sensors to collect important parameters and monitor the human body. The wrist movement of a test subject running at moderate speed was monitored using accelerometer sensors. The sensor nodes were programmed to follow a gesture transmission technique to collect acceleration data and to predict the best limb position for communications while the athlete is moving. This paper reports a high reliability wireless network to acquire 50 Hz movement acceleration during running. This reduces transmission power and increases the reliability. A result of ...
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    Body Sensor Networks (BSN) is a developing area of research that allows wireless sensors to collect important parameters and monitor the human body. The wrist movement of a test subject running at moderate speed was monitored using accelerometer sensors. The sensor nodes were programmed to follow a gesture transmission technique to collect acceleration data and to predict the best limb position for communications while the athlete is moving. This paper reports a high reliability wireless network to acquire 50 Hz movement acceleration during running. This reduces transmission power and increases the reliability. A result of 30% data loss was reduced to around 1% compared to continuous communications. This technology is important for a wide range of monitoring applications including measuring movement symmetry, physiology and athlete rehabilitation.
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    Journal Title
    Procedia Engineering
    Volume
    112
    DOI
    https://doi.org/10.1016/j.proeng.2015.07.233
    Copyright Statement
    © 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
    Subject
    Human Movement and Sports Science not elsewhere classified
    Engineering
    Publication URI
    http://hdl.handle.net/10072/125212
    Collection
    • Journal articles

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