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2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) (2018)
Tuebingen/Reutlingen, Germany
March 18, 2018 to March 22, 2018
ISBN: 978-1-5386-3366-3
pp: 1-2
Tobias Feigl , Erlangen-Nürnberg (FAU), Programming Systems Group Friedrich-Alexander University
Christopher Mutschler , Fraunhofer IIS, Machine Learning and Information Fusion Group
Michael Philippsen , Erlangen-Nürnberg (FAU), Programming Systems Group Friedrich-Alexander University
ABSTRACT
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 positional 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.
INDEX TERMS
Magnetic heads, Feature extraction, Head, Tracking, Legged locomotion, Reliability, Estimation
CITATION

T. Feigl, C. Mutschler and M. Philippsen, "Head-to-Body-Pose Classification in No-Pose VR Tracking Systems," 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Tuebingen/Reutlingen, Germany, 2018, pp. 1-2.
doi:10.1109/VR.2018.8446495
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