• DocumentCode
    2343494
  • Title

    Hybrid approach to detection of the surgeon´s hand motions during endoscope surgery

  • Author

    Nõmm, Sven ; Vain, Jüri ; Petlenkov, Eduard ; Miyawaki, Fujio ; Yoshimitsu, Kitaro

  • Author_Institution
    Inst. of Cybern., Tallinn Univ. of Technol., Tallinn
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    3488
  • Lastpage
    3492
  • Abstract
    Present paper explores possibilities to apply hybrid recognition technique to detect different types of surgeons´s write hand motions during endoscope surgery. Proposed technique uses finite time automata which switches between three different detection techniques; neural networks based detection, statistical based method and Kohonen-map based technique. Such approach allows to avoid errors peculiar to certain technique.
  • Keywords
    finite automata; handwriting recognition; image recognition; Kohonen-map based technique; endoscope surgery; finite time automata; hybrid recognition technique; neural networks based detection; statistical based method; surgeon hand motion detection; Detection algorithms; Endoscopes; Humans; Motion detection; Neural networks; Robot kinematics; Surgery; Surges; Surgical instruments; Switches; Human motion recognition; motion recognition; scrub-nurse robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138854
  • Filename
    5138854