Multimodal human-humanoid interaction using motions, brain NIRS and spike trains

Yasuo Matsuyama, Nimiko Ochiai, Takashi Hatakeyama, Keita Noguchi

    研究成果: Conference contribution

    1 引用 (Scopus)

    抜粋

    Heterogeneous bio-signals including human motions, brain NIRS and neural spike trains are utilized for operating biped humanoids. The Bayesian network comprising Hidden Markov Models and Support Vector Machines is designed for the signal integration. By this method, the system complexity is reduced so that that total operation is within the scope of PCs. The designed system is capable of transducing original sensory meaning to another. This leads to prosthesis, rehabilitation and gaming. In addition to the supervised mode, the humanoid can act autonomously for its own designed tasks.

    元の言語English
    ホスト出版物のタイトル5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010
    ページ173-174
    ページ数2
    DOI
    出版物ステータスPublished - 2010
    イベント5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010 - Osaka
    継続期間: 2010 3 22010 3 5

    Other

    Other5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010
    Osaka
    期間10/3/210/3/5

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Human-Computer Interaction

    フィンガープリント Multimodal human-humanoid interaction using motions, brain NIRS and spike trains' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Matsuyama, Y., Ochiai, N., Hatakeyama, T., & Noguchi, K. (2010). Multimodal human-humanoid interaction using motions, brain NIRS and spike trains. : 5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010 (pp. 173-174) https://doi.org/10.1145/1734454.1734529