Conference paper
Removal of noise from the body-seat interface temperature signal using empirical mode decomposition
3rd International Conference on Computational Intelligence and Industrial Application (PACIIA 2010) (Wuhan, China, 04/12/2010–05/12/2010)
2010
Abstract
This paper applied the data-driven technique of Empirical Mode Decomposition (EMD) to smooth raw thermal data between body and seat interface. The performance of this EMD-based filter was compared with Moving Av erage (MA) filter, Local Regression (LR) filter and Savitzky-Golay (SG) filter using the goodness of statistics and error charts as judgment criteria. Results showed the EMD-based filter outperformed other de-noising algorithms with the lowest RMSE (root-mean-square-error) and the highest R 2 values in the application of curve fitting based on the two power series.
Details
- Title
- Removal of noise from the body-seat interface temperature signal using empirical mode decomposition
- Authors/Creators
- Z. Liu (Author/Creator)L. Zhongming (Author/Creator)A.I. Heusch (Author/Creator)V. Cascioli (Author/Creator)P.W. McCarthy (Author/Creator)
- Conference
- 3rd International Conference on Computational Intelligence and Industrial Application (PACIIA 2010) (Wuhan, China, 04/12/2010–05/12/2010)
- Identifiers
- 991005543709507891
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
- Note
- Proceedings of International Symposium on Computational Intelligence and Industrial Applications Chapter 3: 94-102
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