Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.20965/jaciii.2007.p0261 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS |
Keywords | Field | DocType |
activity monitor, vibration, noise reduction, wireless sensor module, wavelet lifting scheme architecture | Noise reduction,Key distribution in wireless sensor networks,Computer science,Real-time computing,Vibration,Mobile wireless sensor network,Wireless sensor network,Wavelet | Journal |
Volume | Issue | ISSN |
11 | 3 | 1343-0130 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qian Tian | 1 | 17 | 4.29 |
| Long Xie | 2 | 2 | 1.03 |
| N. Yamauchi | 3 | 4 | 1.79 |