Recognition of the surgeon's motions during endoscopic operation by statistics based algorithm and n

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 17, Issue 1 PART 1, 2008, Pages

  Nomm, Sven ^a   Petlenkov, Eduard ^a   Vain, Jüri ^a   Belikov, Juri ^a   Miyawaki, Fuijo ^a   Yoshimitsu, Kitaro ^a  

^a NONE

Author keywords

Modeling of human performance; Modelling; Neural networks technology

Indexed keywords

ENDOSCOPIC OPERATIONS; HAND MOTION; MODELING OF HUMAN PERFORMANCE; MODELLING; NONLINEAR MODELING;

NEURAL NETWORKS;

EID: 79961020009     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20080706-5-KR-1001.3389     Document Type: Conference Paper

References (14)

1. A.Yilmaz and M.Shah. Differential geometric approach to representing human actions. Computer Vision and Image Understanding, 2007.
2. S. A. Billings and M. B. Fadzil. The practical identification of systems with nonlinearities. Proc. of 7th IFAC/IFORS Symp. Identification Syst. Parameter Estimation, pages 155 160, 1985.
3. F. Declercq and R. De Keyser. Comparative study of neural predictors in model based predictive control. In Proc. of Neural Networks for Identification, Control, Robotics, and Signal/Image Processing International Workshop on, pages 20 28. Bratislava, 1996.
4. U. Kotta, S. Nomm, and F.N. Chowdhury. On a new typr of neural-network-based input-output model: The anarma structure. Prock of the 5th IFAC Symposium on nonlinear control systems NOLCOS, St. Petersbourg, Russia, July 2001.
5. U. Kotta, F. Chowdhury, and S. Nomm. On realizability of neural networks-based input-output models in the classical state space form. Automatica, 42(6):1211-1216, 2006. (Pubitemid 43767484)
6. F. Miyawaki, K. Masamune, S. Suzuki, K. Yoshimitsu, and J. Vain. Scrub nurse robot system - intraoperative motion analysis of a scrub nurse and timed-automatabased model for surgery. IEEE Industrial Electronics Transaction on, 5(52):1227 1235, 2005.
7. T. B. Moeslund, A. Hilton, and V. Krüger. Asurvey of advances in vision based human motion capture and analysis. Computer Vision and Image Understanding, (104):90 126, 2006.
8. S. Nomm, E. Petlenkov, J. Vain, K. Yoshimitsu, K. Ohnuma, T. Sadahiro, and F. Miyawaki. Nn-based anarx model of the surgeon's hand for the motion recognition. In Proceedings of the 4th COE Workshop on Human Adaptive Mechatronics (HAM), pages 19 24. Tokyo Denki University, Tokyo, Japan, March 2007.
9. K. Ohnuma, K. Masamune, K. Yoshimitsu, J. Vain, Y. Fukui, and F. Miyawaki. Analysis and recognition of a surgeon-smotions in laparoscopic cholecystectomy giving a scrub nurse robot suitable timings for instrument exchange. In Proc. of the 3rd COE HAM Workshop, pages 1 5. Tokyo Denki University, Japan, March 2006.
10. E. Petlenkov. Nn-anarx structure based dynamic output feedback linearization for control of nonlinear mimo systems. In Proc. Of the 15th Mediterranean Conference on Control and Automation (MED'07). June.
11. E. Petlenkov, S. Nomm, and U. Kotta. Neural networks based anarx structure for identification and model based control. In Proceedings of the 9th IEEE International Conference on Control, Automation, Robotics and Vision, pages 22842288. Singapore, December 2006.
12. M.S. Shin, L.V. Tsap, and D.B. Goldgof. Gesture recognition using bezier curves for visualization navigation from registrated 3-d data. Pattern Recognition, (37): 10111024, 2004.
13. Y. Yacoob and M.J. Black. Parametrized modeling and recognition of activities. Computer Vision and Image Understanding, 73(2):232 247, 1999.
14. C.Y. Yam, M.S. Nixon, and J.N. Carter. Automated person recognition by walking and running via modelbased approaches. Pattern Recognition, (37):10571072, 2004.