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
Country/TerritoryUnited 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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