Bio-signal integration for humanoid operation: Gesture and brain signal recognition by HMM/SVM-Embedded BN

Yasuo Matsuyama*, Fumiya Matsushima, Youichi Nishida, Takashi Hatakeyama, Koji Sawada, Takatoshi Kato

*この研究の対応する著者

    研究成果

    1 被引用数 (Scopus)

    抄録

    Joint recognition of bio-signals emanated from human(s) is discussed. The bio-signals in this paper include camera-captured gestures and brain signals of hemoglobin change ΔO 2 H b . The recognition of the integrated data is applied to the operation of a biped humanoid. Hidden Markov Models (HMMs) and Support Vector Machines (SVMs) undertake the first stage recognition of individual signal. These subsystems are regarded as soft command issuers. Then, such low-level commands are integrated by a Bayesian Network (BN). Therefore, the total system is a novel HMM/SVM-embedded BN. Using this new recognition system, human operators can control the biped humanoid through the network by realizing more motion classes than methods of HMM-alone, SVM-alone and BN-alone.

    本文言語English
    ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ページ352-360
    ページ数9
    5506 LNCS
    PART 1
    DOI
    出版ステータスPublished - 2009
    イベント15th International Conference on Neuro-Information Processing, ICONIP 2008 - Auckland
    継続期間: 2008 11 252008 11 28

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    番号PART 1
    5506 LNCS
    ISSN(印刷版)03029743
    ISSN(電子版)16113349

    Other

    Other15th International Conference on Neuro-Information Processing, ICONIP 2008
    CityAuckland
    Period08/11/2508/11/28

    ASJC Scopus subject areas

    • コンピュータ サイエンス(全般)
    • 理論的コンピュータサイエンス

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