A Fuzzy Reasoning System for Computer-Guided Laparoscopy Training
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A_Fuzzy_Reasoning_System_for_C ...
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Final Accepted Manuscript
Affiliation
University of Arizona, Department of Electrical and Computer EngineeringIssue Date
2020-10-11
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IEEECitation
M. Hong, K. Meisner, S. Lee, A. M. Schreiber and J. W. Rozenblit, "A Fuzzy Reasoning System for Computer-Guided Laparoscopy Training," 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, 2020, pp. 1712-1717, doi: 10.1109/SMC42975.2020.9283423.Rights
© 2020 IEEE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
A system called the Computer-Assisted Surgical Trainer (CAST) that provides force, visual, and audio guidance with objective assessments for laparoscopic surgery skills training in a non-patient training setup was developed. To support the guidance and assessment of trainees, given an object transfer task, a fuzzy reasoning system is proposed to estimate states of objects as well as the completion of basic actions. A peg transfer task is implemented as a target application. Based on a modeling approach of this peg transfer task, fuzzy production rules are defined and a reasoning process is designed. The experimental test results show the effectiveness of the proposed fuzzy reasoning system. © 2020 IEEE.ISSN
2168-2216Version
Final accepted manuscriptSponsors
National Science Foundationae974a485f413a2113503eed53cd6c53
10.1109/smc42975.2020.9283423
