A hybrid FMM-CART model for human activity recognition

Seera, Manjeevan, Loo, Chu Kiong and Lim, Chee Peng 2014, A hybrid FMM-CART model for human activity recognition, in IEEE 2014 : Proceedings of the International Conference on Systems, Man and Cybernetics (SMC), IEEE, Piscataway, N.J., pp. 182-187, doi: 10.1109/SMC.2014.6973904.

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Title A hybrid FMM-CART model for human activity recognition
Author(s) Seera, Manjeevan
Loo, Chu Kiong
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Conference name Systems, Man and Cybernetics (SMC). IEEE International Conference (2014 : San Diego, Calif.)
Conference location San Diego, Calif.
Conference dates 2014/10/05 - 2014/10/08
Title of proceedings IEEE 2014 : Proceedings of the International Conference on Systems, Man and Cybernetics (SMC)
Publication date 2014
Series Systems, Man and Cybernetics (SMC)
Start page 182
End page 187
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) classification and regression tree
fuzzy min-max neural network
human activity recognition
rule extraction
Summary In this paper, the application of a hybrid model combining the fuzzy min-max (FMM) neural network and the classification and regression tree (CART) to human activity recognition is presented. The hybrid FMM-CART model capitalizes the merits of both FMM and CART in data classification and rule extraction. To evaluate the effectiveness of FMM-CART, two data sets related to human activity recognition problems are conducted. The results obtained are higher than those reported in the literature. More importantly, practical rules in the form of a decision tree are extracted to provide explanation and justification for the predictions from FMM- CART. This outcome positively indicates the potential of FMM- CART in undertaking human activity recognition tasks.
ISSN 1062-922X
Language eng
DOI 10.1109/SMC.2014.6973904
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30076124

Document type: Conference Paper
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