JACIII Vol.11 No.3 pp. 261-267
doi: 10.20965/jaciii.2007.p0261


An Activity Monitor Design Based on Wavelet Analysis and Wireless Sensor Networks

Qian Tian, Long Xie, and Noriyoshi Yamauchi

Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0135, Japan

April 19, 2006
July 28, 2006
March 20, 2007
activity monitor, vibration, noise reduction, wireless sensor module, wavelet lifting scheme architecture

The activity monitor we designed based on wavelet analysis and wireless sensor networks for monitoring human physical condition consists of sensor nodes to sample and transfer data, an FPGA board as a processing center to process data, and a PC to display results. We connect wireless sensor module Ni3 and MEMS accelerometers to make a sensor node small enough to wear and not limited by space. We propose reducing signal noise based on wavelet analysis to ensure a robust data resource and develop a simple wavelet-lifting architecture to decrease the complexity of implementation in the FPGA board. Experimental results demonstrate that our system provides an efficient platform for human physical condition monitoring.

Cite this article as:
Qian Tian, Long Xie, and Noriyoshi Yamauchi, “An Activity Monitor Design Based on Wavelet Analysis and Wireless Sensor Networks,” J. Adv. Comput. Intell. Intell. Inform., Vol.11, No.3, pp. 261-267, 2007.
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