Identification of most influential factors in a Virtual Reality tracking system using hybrid method
Résumé
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 model, 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.
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