Development of computer vision algorithm for surgical skill assessment

Gazi Islam, Kanav Kahol, John Ferrara, Richard Gray

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

5 Scopus citations


Advances in medical field have introduced new and progressive ways to intensify surgical resident training and surgical skills learning by developing systematic simulator training programs alongside traditional training. Both training methods need constant presence of a competent surgeon to subjectively assess the surgical dexterity of the trainee. Several studies have been done to measure user's skill objectively and quantitatively, but all use sensors which could interfere with skill execution. Also the sterilization process in an actual surgery makes the use of sensors impossible. This paper proposes a novel video-based approach for observing surgeon's hand and surgical tool movements in both surgical operation and training. Data is captured by video camera and then explored using computer vision algorithm. Finally by analyzing basic statistical parameters, observer-independent model has been developed through objective and quantitative measurement of surgical skills.

Original languageEnglish (US)
Title of host publicationAmbient Media and Systems - Second International ICST Conference, AMBI-SYS 2011, Revised Selected Papers
Number of pages8
StatePublished - 2011
Event2nd International ICST Conference on Ambient Media and Systems, AMBI-SYS 2011 - Porto, Portugal
Duration: Mar 24 2011Mar 25 2011

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume70 LNICST
ISSN (Print)1867-8211


Other2nd International ICST Conference on Ambient Media and Systems, AMBI-SYS 2011


  • Computer Vision
  • Motion Tracking
  • Skill Assessment
  • Surgical Training

ASJC Scopus subject areas

  • Computer Networks and Communications


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