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
Link To Document