Automated real time peg and tool detection for the FLS trainer box

Stud Health Technol Inform. 2012;173:304-6.

Abstract

This study proposes a method that effectively tracks trocar tool and peg positions in real time to allow real time assessment of the peg transfer task of the Fundamentals of Laparoscopic Surgery (FLS). By utilizing custom code along with OpenCV libraries, tool and peg positions can be accurately tracked without altering the original setup conditions of the FLS trainer box. This is achieved via a series of image filtration sequences, thresholding functions, and Haar training methods.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Computer Simulation*
  • Laparoscopy*
  • Pattern Recognition, Automated*
  • Task Performance and Analysis
  • User-Computer Interface*