Abstract—In order to create interaction, immersive VR rooms can receive various types of inputs from a user. One of these input types are the gestures and movements of the user in the CAVE, which can be captured with sensors such as the Microsoft Kinect. However, the large scale of an immersive room implies the use of multiple Kinects to provide optimal coverage. This multi-Kinect set-up requires an effective selection method to determine the most accurate Kinects depending on the user’s position. The example of VR environment described in this paper is a CAVE named “Le SAS” that currently supports 4 Kinects. This paper describes the SAS’s features as well as the constraints the implemented solution had to take into account. It will justify the technical choices and provide experiment results.
Index Terms—CAVE, Kinect selection algorithm, multi-Kinect.
The authors are with the Paragraph Laboratory, Université Paris 8, France (e-mail: saleh.salous@citu.fr, soosaine@ece.fr, Safwan.chendeb@citu.fr, Laure.leroy@citu.fr).
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Cite:S. Salous, J. Newton, L. Leroy, and S. Chendeb, "Dynamic Sensor Selection Based on Joint Data Quality in the Context of a Multi-Kinect Module inside the CAVE “Le SAS”," International Journal of Computer Theory and Engineering vol. 8, no. 6, pp. 471-474, 2016.
