HMM-embedded Bayesian network for heterogeneous command integration: applications to biped humanoid operation over the network

@inproceedings{Matsuyama2008HMMembeddedBN,
  title={HMM-embedded Bayesian network for heterogeneous command integration: applications to biped humanoid operation over the network},
  author={Y. Matsuyama and Youichi Nishida},
  booktitle={CSTST},
  year={2008}
}
  • Y. Matsuyama, Youichi Nishida
  • Published in CSTST 2008
  • Computer Science
  • A method to combine a Bayesian Network (BN) and Hidden Markov Models (HMMs) is presented. This compound system is applied to robot operations. The addressed problem and presented methods are novel with the following features: (1) BN and HMMs make a total decision system by accepting evidences from HMMs to the BN. (2) The HMM-embedded BN is applied to the human motion recognition for the biped humanoid operation. (3) Besides the motion recognition, the image recognition is incorporated by adding… CONTINUE READING
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