XR training and gameplay 6DoF mobility dataset

• Main Authors: De Kunst, Sam, Marinšek Alexander, Callebaut, Gilles, De Strycker, Lieven, Van der Perre, Liesbet
• Format: Other/Unknown Material
• Language: unknown
• Published: Zenodo 2023
• Subjects: virtual reality; extended reality; vive; tundra; body tracking; steamvr; openvr; vr; xr; mobility; tracking data; Tundra
• Online Access: https://doi.org/10.5281/zenodo.8224633

User mobility in extended reality (XR) can have a major impact on millimeter-wave (mmWave) links and may require dedicated mitigation strategies to ensure reliable connections and avoid service outages. The available prior art has predominantly focused on XR applications with constrained user mobility and limited impact on mmWave channels. We have performed dedicated experiments to extend the characterisation of relevant future XR use cases featuring a high degree of user mobility. To this end, we have carried out a tailor-made measurement campaign. For a description, for analysis results, and for citing the dataset, view [coming soon]