A Fuzzy Reasoning System for Computer-Guided Laparoscopy Training

Minsik Hong, Kai Meisner, Seung Hyun Lee, Andre M. Schreiber, Jerzy W. Rozenblit

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1712-1717
Number of pages6
Volume2020-October
ISBN (Electronic)9781728185262
DOIs
StatePublished - Oct 11 2020
Event2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 - Toronto, Canada
Duration: Oct 11 2020Oct 14 2020

Conference

Conference2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020
CountryCanada
CityToronto
Period10/11/2010/14/20

Keywords

  • fuzzy reasoning
  • guidance system
  • surgical training

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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