Polynomial based approach in analysis and detection of surgeon's motions

In the paper a problem of analyzing surgeon's right hand wrist trajectory during laparoscopic operation is considered. Based on the results of the analysis detection algorithms to recognize six motions are developed. The motions can be considered as primitives of a surgery from the human scrub...

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Bibliographic Details
Main Authors: Jakubiak, J., Nomm, S., Vain, J., Miyawaki, F.
Format: Conference Proceeding
Language:English
Subjects:
AdaBoost
Algorithm design and analysis
decision trees
Detection algorithms
Human motion recognition
Humans
Kohonen map
Laparoscopes
Motion analysis
Motion detection
Polynomials
scrub-nurse robot
Surgery
Surges
Wrist
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Summary:In the paper a problem of analyzing surgeon's right hand wrist trajectory during laparoscopic operation is considered. Based on the results of the analysis detection algorithms to recognize six motions are developed. The motions can be considered as primitives of a surgery from the human scrub nurse point of view. In the analysis, to represent motions the third order polynomials are used. The two proposed algorithms are based on Kohonen maps and boosted decision trees. The performance of the algorithms is tested on surgical operation data.
DOI:10.1109/ICARCV.2008.4795588