• DocumentCode
    2007977
  • Title

    All gestures you can: A memory game against a humanoid robot

  • Author

    Gori, I. ; Fanello, S.R. ; Metta, G. ; Odone, F.

  • Author_Institution
    Robot., Brain & Cognitive Sci. Dept., Ist. Italiano di Tecnol., Genoa, Italy
  • fYear
    2012
  • fDate
    Nov. 29 2012-Dec. 1 2012
  • Firstpage
    330
  • Lastpage
    336
  • Abstract
    We address the problem of real-time gesture recognition, and we prove that our system can be used in real scenarios presenting an original memory game; the object of the game is to perform the longest sequence of gestures that it is possible to remember. We explore the human-robot interaction field, letting the player confront a humanoid robot, iCub. Our main contribution is two-fold: on one hand, we present a robust and real-time gesture recognition system; on the other hand, we place the presented system in a real scenario, where its reliability and its effectiveness are remarkably stressed. This game has ranked 2nd at ChaLearn Kinect Demonstration Competition1.
  • Keywords
    computer games; gesture recognition; humanoid robots; ChaLearn Kinect Demonstration Competition; iCub humanoid robot; memory game; realtime gesture recognition system; Encoding; Games; Gesture recognition; Histograms; Real-time systems; Robots; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Humanoid Robots (Humanoids), 2012 12th IEEE-RAS International Conference on
  • Conference_Location
    Osaka
  • ISSN
    2164-0572
  • Type

    conf

  • DOI
    10.1109/HUMANOIDS.2012.6651540
  • Filename
    6651540