High reliability body sensor network using gesture triggered burst transmission
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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.
Copyright 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.
Human Movement and Sports Science not elsewhere classified