A semi-dynamic bayesian network for human gesture recognition

Myung Cheol Roh, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many methods for human gesture recognition have been researched. Bayesian Network (BN) and Dynamic Bayesian Network (DBN) are representative powerful tools for the gesture recognition. However, conventional BN is not appropriate in sequential data, and conventional DBN does not always guarantee that a sequence has relatively higher probability in a true class than in other classes. Moreover, the complexity of the DBN is increased exponentially with increasing number of hidden nodes and large number of training data is needed to guarantee the performance. Therefore, we propose a Semi-DBN (Semi-Dynamic Bayesian Network) which outperforms the conventional BNs and DBNs while it requires much less computational cost.

Original languageEnglish
Title of host publicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Pages644-649
Number of pages6
DOIs
Publication statusPublished - 2008
Event2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008 - Singapore, Singapore
Duration: 2008 Oct 122008 Oct 15

Other

Other2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008
CountrySingapore
CitySingapore
Period08/10/1208/10/15

Fingerprint

Gesture recognition
Bayesian networks
Costs

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Roh, M. C., & Lee, S. W. (2008). A semi-dynamic bayesian network for human gesture recognition. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (pp. 644-649). [4811350] https://doi.org/10.1109/ICSMC.2008.4811350

A semi-dynamic bayesian network for human gesture recognition. / Roh, Myung Cheol; Lee, Seong Whan.

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2008. p. 644-649 4811350.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Roh, MC & Lee, SW 2008, A semi-dynamic bayesian network for human gesture recognition. in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics., 4811350, pp. 644-649, 2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008, Singapore, Singapore, 08/10/12. https://doi.org/10.1109/ICSMC.2008.4811350
Roh MC, Lee SW. A semi-dynamic bayesian network for human gesture recognition. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2008. p. 644-649. 4811350 https://doi.org/10.1109/ICSMC.2008.4811350
Roh, Myung Cheol ; Lee, Seong Whan. / A semi-dynamic bayesian network for human gesture recognition. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2008. pp. 644-649
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