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

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 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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Submitted on : Tuesday, December 6, 2016 - 11:39:40 AM
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Fabien Ezedine, Jean-Marc Linares, Wan Mansor Wan Muhamad, Jean-Michel Sprauel. Identification of most influential factors in a Virtual Reality tracking system using hybrid method. ACTA IMEKO, International Measurement Confederation (IMEKO), 2014, 2 (2), pp.20 - 27. ⟨10.21014/acta_imeko.v2i2.136⟩. ⟨hal-01409793⟩

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