• DocumentCode
    566693
  • Title

    Using mobile-phone accelerometer for gestural control of soccer robots

  • Author

    Serafimov, Kire ; Angelkov, Dimitrija ; Koceska, Natasa ; Koceski, Saso

  • Author_Institution
    Fac. of Comput. Sci., Univ. “Goce Delcev”, Stip, Macedonia
  • fYear
    2012
  • fDate
    19-21 June 2012
  • Firstpage
    140
  • Lastpage
    143
  • Abstract
    With the increasing number of robots and robot applications, it is important to find intuitive modes of interaction that require as little training as possible of the users. In this paper we are proposing proximate HRI methodology based on human gestures using mobile phone accelerometer. The proposed methodology is experimentally evaluated on soccer robot control. The results show shown that the methodology is accurate enough and quite robust. The proposed HRI methodology is also very appreciated and preferred by the users over the other (even more accurate) forms of robot interaction methods.
  • Keywords
    accelerometers; gesture recognition; human-robot interaction; mobile computing; mobile handsets; mobile robots; HRI; human gesture control; human-robot interaction; intuitive mode; mobile phone accelerometer; soccer robot control; Accelerometers; Clocks; Computational modeling; Hidden Markov models; Radiation detectors; Robots; Software; accelerometer; control; gesture; human-robot interaction; mobile phone;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Computing (MECO), 2012 Mediterranean Conference on
  • Conference_Location
    Bar
  • Print_ISBN
    978-1-4673-2366-6
  • Type

    conf

  • Filename
    6268945