Comparison of fusion methods based on DST and DBN in human activity recognition-Reference-Cited by-同舟云学术

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Comparison of fusion methods based on DST and DBN in human activity recognition

Published:2011-02 Issue:1 Volume:9 Page:18-27
ISSN:1672-6340
Container-title:Journal of Control Theory and Applications
language:en
Short-container-title:J. Control Theory Appl.

Author:

Tolstikov Andrei,Hong Xin,Biswas Jit,Nugent Chris,Chen Liming,Parente Guido

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Hardware and Architecture,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11768-011-0260-7.pdf

Reference11 articles.

1. J. Biswas, K. Sim, W. Huang, et al. Sensor based microcontext for mild dementia assistance[C]//Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments (PETRA). Samos, Greece, 2010: DOI 10.1145/1839294.1839318.

2. E. Kim, S. Helal, D. Cook. Human activity recognition and pattern discovery[J]. IEEE Pervasive Computing, 2010, 9(1): 48–53.

3. D. Lymberopoulos, T. Teixeira, A. Savvides. Macroscopic human behavior interpretation using distributed imager and other sensors[J]. Proceedings of the IEEE, 2008, 96(10): 1657–1677.

4. K. P. Murphy. Dynamic Bayesian Networks: Representation, Inference and Learning[D]. Berkeley: University of California, 2002.

5. G. Shafer. A Mathematical Theory of Evidence[M]. Princeton: Princeton University Press, 1976.

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