Identification of most influential factors in a Virtual Reality tracking system using hybrid method

Authors

  • Fabien Ezedine
  • Jean-Marc Linares
  • Wan Mansor Wan Muhamad
  • Jean-Michel Sprauel

DOI:

https://doi.org/10.21014/acta_imeko.v2i2.136

Abstract

This paper studies the factors that influence the accuracy of Virtual Reality (VR) systems, in particular for applications in a Cave Automatic Virtual Environment (CAVE). The CAVE can be used to train surgeon students. For this purpose, an application for a total knee arthroplasty surgery is investigated. To meet the requirements for a high quality training, the accuracy of the tracking system in the CAVE has to be improved. First, a complete model of the tracking system is created based on the extrinsic and intrinsic parameters of the eight-camera system. With this mode l, the uncertainty of the tracking system is determined for one location in the CAVE. Next, a hybrid method, comprising the Monte Carlo Method and Design Of Experiment, is used to find the most important factors influencing the tracking accuracy in the CAVE.
ACTA IMEKO Vol 2 No 2 (2013)

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Published

2014-01-15

Issue

Vol. 2 No. 2 (2013)

Section

Research Papers

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