• DocumentCode
    3017124
  • Title

    Online intention recognition for computer-assisted teleoperation

  • Author

    Stefanov, Nikolay ; Peer, Angelika ; Buss, Martin

  • Author_Institution
    Inst. of Autom. Control Eng., Tech. Univ. Munchen, München, Germany
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    5334
  • Lastpage
    5339
  • Abstract
    An online intention recognition algorithm for computer-assisted teleoperation is introduced. The algorithm is able to distinguish between phases of a typical object manipulation task. It adopts a new advanced feature extraction algorithm which extracts features from haptic data and uses a Hidden Markov Model for stochastic classification. The method is implemented and validated on a real hardware setup. The obtained results reveal a robust and fast intention recognition.
  • Keywords
    control engineering computing; feature extraction; hidden Markov models; telerobotics; computer-assisted teleoperation; feature extraction algorithm; haptic data; hidden Markov model; online intention recognition; real hardware setup; stochastic classification; Automatic control; Data mining; Feature extraction; Haptic interfaces; Hidden Markov models; Humans; Peer to peer computing; Robotics and automation; Robust stability; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509432
  • Filename
    5509432
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3017124