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

Yasuo Matsuyama, Nimiko Ochiai, Takashi Hatakeyama, Keita Noguchi

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

    1 Citation (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publication5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010
    Pages173-174
    Number of pages2
    DOIs
    Publication statusPublished - 2010
    Event5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010 - Osaka
    Duration: 2010 Mar 22010 Mar 5

    Other

    Other5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010
    CityOsaka
    Period10/3/210/3/5

      Fingerprint

    Keywords

    • Brain NIRS
    • HMM/SVM-embedded BN
    • Human-humanoid interaction
    • Motion recognition
    • Multimodal
    • Neural spike train
    • Non-verbal
    • Sensory transducing

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Human-Computer Interaction

    Cite this

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