An affordable real-time assessment system for surgical skill training

Gazi Islam, Baoxin Li, Kanav Kahol

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

Abstract

This research proposes a novel computer-vision-based approach for skill assessment by observing a surgeon's hand and surgical tool movements in minimally invasive surgical training, which can be extended to the evaluation in real surgeries. Videos capturing the surgical field are analyzed using a system composed of a series of computer vision algorithms. The system automatically detects major skill measuring features from surgical task videos and provides real-time performance feedback on objective and quantitative measurement of surgical skills.

Original languageEnglish (US)
Title of host publicationIUI 2013 Companion - Proceedings of the 18th International Conference on Inteligent User Interfaces
Pages111-112
Number of pages2
DOIs
StatePublished - Mar 19 2013
Event18th International Conference on Intelligent User Interfaces, IUI 2013 - Santa Monica, CA, United States
Duration: Mar 19 2013Mar 22 2013

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference18th International Conference on Intelligent User Interfaces, IUI 2013
CountryUnited States
CitySanta Monica, CA
Period3/19/133/22/13

Keywords

  • Computer vision
  • Feature detection
  • Skill assessment
  • Surgical training

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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