Head Rotation Model for VR System Level Simulations
Steve Blandino, Tanguy Ropitault, Raied Caromi, Nada T. Golmie
The paper proposes a flexible mathematical time-correlated model, by leveraging experimental data adopted from recent measurements, to describe the head rotation in virtual reality applications. Virtual Reality (VR) promises immersive experience in diverse areas such as gaming, entertainment, education, healthcare, and remote monitoring. In VR environments, users can navigate 360-degree content by moving or looking around in all directions, by rotating their heads, as in real life. A rapid head rotation can corrupt the wireless link, degrading the user experience. Due to the lack of proper head rotation models, test-beds are usually required to analyze VR systems. In this paper, we propose a simple, yet flexible, mathematical time-correlated model, by leveraging experimental data adopted from a recent dataset. We show that the probability density function of head rotation pitch and roll angles can be modeled as Gaussian distributions, while the probability density function of yaw angles can be modeled as a Gaussian mixture distribution. To introduce temporal correlation, we extrapolate the power spectral density of the angular processes, which are modeled with a bi-exponential decay. Finally, we show how the model can support and accelerate the design of future VR systems by proposing analysis of a distributed MIMO system and situational awareness ML-based beamforming training.
, Ropitault, T.
, Caromi, R.
and Golmie, N.
Head Rotation Model for VR System Level Simulations, IEEE International Symposium on Multimedia, Napoli, IT, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932774
(Accessed March 1, 2024)