title: Automated real time peg and tool detection for the FLS trainer box.
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.
authors.affiliation: Center for Modeling, Simulation and Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, Troy, NY, USA. des@rpi.edu
authors.forename: Arun
authors.initials: A
authors.lastname: Nemani
authors.forename: Ganesh
authors.initials: G
authors.lastname: Sankaranarayanan
mesh_terms: D003198:Computer Simulation; D010535:Laparoscopy; D010363:Pattern Recognition, Automated; D013647:Task Performance and Analysis; D014584:User-Computer Interface