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

Abstract

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.