実体を伴うプロアクティブヒューマンインタフェースのためのジェスチャの早期認識・予測に関する検討 Early Recognition and Prediction of Gestures for Embodied Proactive Human Interface

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著者

    • 森 明慧 MORI Akihiro
    • 九州大学大学院システム情報科学府 Graduate School of Information Science and Electrical Engineering, Kyushu University
    • 内田 誠一 UCHIDA Seiichi
    • 九州大学大学院システム情報科学研究院 Faculty of Information Science and Electrical Engineering, Kyushu University
    • 倉爪 亮 [他] KURAZUME Ryo
    • 九州大学大学院システム情報科学研究院 Faculty of Information Science and Electrical Engineering, Kyushu University
    • 長谷川 勉 HASEGAWA Tsutomu
    • 九州大学大学院システム情報科学研究院 Faculty of Information Science and Electrical Engineering, Kyushu University
    • 迫江 博昭 SAKOE Hiroaki
    • 九州大学大学院システム情報科学研究院 Faculty of Information Science and Electrical Engineering, Kyushu University

抄録

This paper concerns three topics for realizing embodied ``proactive'' human interface, where a humanoid is used as an interface capable of making some reaction against to user's gesture input in advance to the termination of the gesture. The first topic is early recognition of gestures: the recognition result of a gesture is provided at the beginning part of the gesture. The second topic is motion prediction: the subsequent posture of the person who makes a gesture is predicted by using the result of early recognition. The third topic is a network model constructed for improving the performance of early recognition and motion prediction. The effectiveness of these methods was shown by experimental results.

This paper concerns three topics for realizing embodied"proactive"human interface, where a humanoid is used as an interface capable of making some reaction against to user's gesture input in advance to the termination of the gesture. The first topic is early recognition of gestures: the recognition result of a gesture is provided at the beginning part of the gesture. The second topic is motion prediction: the subsequent posture of the person who makes a gesture is predicted by using the result of early recognition. The third topic is a network model constructed for improving the performance of early recognition and motion prediction. The effectiveness of these methods was shown by experimental results.

収録刊行物

  • 日本ロボット学会誌 = Journal of Robotics Society of Japan

    日本ロボット学会誌 = Journal of Robotics Society of Japan 24(8), 954-963, 2006-11-15

    日本ロボット学会

参考文献:  20件中 1-20件 を表示

被引用文献:  8件中 1-8件 を表示

各種コード

  • NII論文ID(NAID)
    10019375398
  • NII書誌ID(NCID)
    AN00141189
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    02891824
  • NDL 記事登録ID
    8577876
  • NDL 雑誌分類
    ZN11(科学技術--機械工学・工業)
  • NDL 請求記号
    Z16-1325
  • データ提供元
    CJP書誌  CJP引用  NDL  IR  J-STAGE 
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