• DocumentCode
    2527961
  • Title

    Accurate micromanipulation induced by performing in unstable dynamics

  • Author

    Su, Eileen Lee Ming ; Ganesh, Gowrishankar ; Yeong, Che Fai ; Burdet, Etienne

  • Author_Institution
    Dept. of Bioeng., Imperial Coll. London, London, UK
  • fYear
    2010
  • fDate
    13-15 Sept. 2010
  • Firstpage
    762
  • Lastpage
    766
  • Abstract
    This study examines effects of learning 3D micromanipulation in an unstable dynamic environment. A test group trained in an unstable divergent force field while a control group trained the movement in the null force field. The subjects in the test group increased the success rate, in contrast to the control group which had similar rate after training. The error and its standard deviation decreased in the test group but not in the control group. In summary, training in unstable dynamics enable subjects to become more accurate, in contrast to training using only visual feedback.
  • Keywords
    learning systems; micromanipulators; stability; 3D micromanipulation; accurate micromanipulation; null force field; unstable divergent force field; unstable dynamics; visual feedback; Accuracy; Force; Haptic interfaces; Surgery; Training; Trajectory; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RO-MAN, 2010 IEEE
  • Conference_Location
    Viareggio
  • ISSN
    1944-9445
  • Print_ISBN
    978-1-4244-7991-7
  • Type

    conf

  • DOI
    10.1109/ROMAN.2010.5598674
  • Filename
    5598674