• DocumentCode
    2776794
  • Title

    Understanding and learning of gestures through human-robot interaction

  • Author

    Kuno, Yoshinori ; Murashima, Teruhisa ; Shimada, Nobutaka ; Shirai, Yoshiaki

  • Author_Institution
    Dept. of Comput.-Controlled Mech. Syst., Osaka Univ., Japan
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2133
  • Abstract
    Humans can communicate with each other by gestures. This paper presents a robot system with such capability. The robot detects its user by recognizing his/her face. It can accept his/her commands given by gestures. The user may use unknown gestures to the robot. If the robot does not respond to his/her gesture, the user usually iterates the same gesture. The robot detects this repetitive pattern as an intentional gesture by which the user wants to give it some order. Then it shows a little action according to the meaning of the gesture that the robot guesses. It observes the user´s reaction to its action. If he/she continues the same pattern gesture, the robot considers that its understanding is right, completing the action. It also registers the pattern as a gesture of the guessed meaning. Otherwise, it iterates the same procedure by taking another action as a candidate of the meaning. We have implemented such interactive capability on our intelligent wheelchair
  • Keywords
    computer vision; face recognition; gesture recognition; handicapped aids; interactive systems; learning systems; man-machine systems; robots; face recognition; gesture understanding; human-robot interaction; intelligent wheelchair; learning system; pattern recognition; Face detection; Face recognition; Humans; Intelligent robots; Intelligent sensors; Learning systems; Mechanical systems; Mobile robots; Natural languages; Wheelchairs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2000. (IROS 2000). Proceedings. 2000 IEEE/RSJ International Conference on
  • Conference_Location
    Takamatsu
  • Print_ISBN
    0-7803-6348-5
  • Type

    conf

  • DOI
    10.1109/IROS.2000.895286
  • Filename
    895286