Human Motion Classification Using Radio Signal Strength in WBAN
Author:
Affiliation:
1. Graduate School of Decision Science and Technology, Tokyo Institute of Technology
2. Graduate School of Science and Technology, Niigata University
3. Graduate School of International Development Engineering, Tokyo Institute of Technology
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Software
Link
https://www.jstage.jst.go.jp/article/transcom/E99.B/3/E99.B_2015MIP0009/_pdf
Reference32 articles.
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2. [2] G. Chatterjee and A. Somkuwar, “Design analysis of wireless sensors in BAN for stress monitoring of fighter pilots,” 2008 16th IEEE International Conference on Networks, pp.1-6, Dec. 2008.
3. [3] M. Patel and J. Wang, “Applications, challenges, and prospective in emerging body area networking technologies,” IEEE Wireless Commun., vol.17, no.1, pp.80-88, 2010.
4. [4] D.B. Smith, T. Lamahewa, L.W. Hanlen, and D. Miniutti, “Simple prediction-based power control for the on-body area communications channel,” 2011 IEEE International Conference on Communications (ICC), pp.1-5, June 2011.
5. [5] D.B. Smith, L.W. Hanlen, and D. Miniutti, “Transmit power control for wireless body area networks using novel channel prediction,” 2012 IEEE Wireless Communications and Networking Conference (WCNC), pp.684-688, April 2012.
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