• DOI:10.1007/978-3-642-04274-4_79
Corpus ID: 43171515

Multimodal Belief Integration by HMM/SVM-Embedded Bayesian Network: Applications to Ambulating PC Operation by Body Motions and Brain Signals

@inproceedings{Matsuyama2009MultimodalBI,
  title={Multimodal Belief Integration by HMM/SVM-Embedded Bayesian Network: Applications to Ambulating PC Operation by Body Motions and Brain Signals},
  author={Y. Matsuyama and Fumiya Matsushima and Youichi Nishida and T. Hatakeyama and Nimiko Ochiai and Shogo Aida},
  booktitle={ICANN},
  year={2009}
}

Y. Matsuyama, Fumiya Matsushima, +3 authors Shogo Aida

Published in ICANN 2009

Computer Science

Methods to integrate multimodal beliefs by Bayesian Networks (BNs) comprising Hidden Markov Models (HMMs) and Support Vector Machines (SVMs) are presented. The integrated system is applied to the operation of ambulating PCs (biped humanoids) across the network. New features in this paper are twofold. First, the HMM/SVM-embedded BN for the multimodal belief integration is newly presented. Its subsystem also has a new structure such as a committee SVM array. Another new fearure is with the… CONTINUE READING

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