HMM-embedded Bayesian network for heterogeneous command integration

Applications to biped humanoid operation over the network

Yasuo Matsuyama, Youichi Nishida

    研究成果: Conference contribution

    3 引用 (Scopus)

    抄録

    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 a BN subsystem. Thus, the total HMM-embedded BN can be regarded as an integrator of heterogeneous commands. (4) The human operator and the biped humanoid can be located on the other side of the network each other. (5) The piped humanoid follows various commands of human motions without falling down by showing better sophistication and operation success than HMM-alone and BN-alone systems. In addition to the above, an information supply to the BN from brain signals is realized through a combination with a Support Vector Machine (SVM).

    元の言語English
    ホスト出版物のタイトル5th International Conference on Soft Computing as Transdisciplinary Science and Technology, CSTST '08 - Proceedings
    ページ138-145
    ページ数8
    DOI
    出版物ステータスPublished - 2008
    イベント5th International Conference on Soft Computing As Transdisciplinary Science and Technology, CSTST '08 - Cergy-Pontoise
    継続期間: 2008 10 282008 10 31

    Other

    Other5th International Conference on Soft Computing As Transdisciplinary Science and Technology, CSTST '08
    Cergy-Pontoise
    期間08/10/2808/10/31

    Fingerprint

    Bayesian networks
    Hidden Markov models
    Bayesian Networks
    Markov Model
    Motion
    Decision System
    Image recognition
    Image Recognition
    Support vector machines
    Brain
    Support Vector Machine
    Subsystem
    Robot
    Robots
    Operator
    Human

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Theoretical Computer Science

    これを引用

    Matsuyama, Y., & Nishida, Y. (2008). HMM-embedded Bayesian network for heterogeneous command integration: Applications to biped humanoid operation over the network. : 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, CSTST '08 - Proceedings (pp. 138-145) https://doi.org/10.1145/1456223.1456256

    HMM-embedded Bayesian network for heterogeneous command integration : Applications to biped humanoid operation over the network. / Matsuyama, Yasuo; Nishida, Youichi.

    5th International Conference on Soft Computing as Transdisciplinary Science and Technology, CSTST '08 - Proceedings. 2008. p. 138-145.

    研究成果: Conference contribution

    Matsuyama, Y & Nishida, Y 2008, HMM-embedded Bayesian network for heterogeneous command integration: Applications to biped humanoid operation over the network. : 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, CSTST '08 - Proceedings. pp. 138-145, 5th International Conference on Soft Computing As Transdisciplinary Science and Technology, CSTST '08, Cergy-Pontoise, 08/10/28. https://doi.org/10.1145/1456223.1456256
    Matsuyama Y, Nishida Y. HMM-embedded Bayesian network for heterogeneous command integration: Applications to biped humanoid operation over the network. : 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, CSTST '08 - Proceedings. 2008. p. 138-145 https://doi.org/10.1145/1456223.1456256
    Matsuyama, Yasuo ; Nishida, Youichi. / HMM-embedded Bayesian network for heterogeneous command integration : Applications to biped humanoid operation over the network. 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, CSTST '08 - Proceedings. 2008. pp. 138-145
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