Head-to-Body-Pose Classification in No-Pose VR Tracking Systems

  • Post published:October 16, 2020

Feigl T., Mutschler C., Philippsen M.:

In: Proceedings of the 25th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), Reutlingen, Germany, 2018.

Pose tracking does not yet reliably work in large-scale interactive multi-user VR. Our novel head orientation estimation combines a single inertial sensor located at the user’s head with inaccurate posi- tional tracking. We exploit that users tend to walk in their viewing direction and classify head and body motion to estimate heading drift. This enables low-cost long-time stable head orientation. We evaluate our method and show that we sustain immersion.

DOI: 10.1109/VR.2018.8446495
URL: http://www2.informatik.uni-erlangen.de/publication/download/IEEE-VR2018b.pdf
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