XR Training and Gameplay 6DoF Mobility Dataset

A dataset captures user mobility in extended reality (XR) applications, specifically head, hand, and body movements in six degrees of freedom (6DoF). It was created by Sam De Kunst from KU Leuven to characterize future XR use cases with high user mobility and its impact on millimeter-wave (mmWave) wireless links. The dataset is described in an IEEE Magazine paper and a longer Arxiv version, with a usage example provided in a Jupyter Notebook.

Use Cases

• Modeling mmWave channel behavior based on recorded 6DoF user movement patterns.
• Developing link mitigation strategies for XR applications based on high-mobility scenarios.
• Benchmarking wireless network algorithms using real-world XR user mobility data.
• Characterizing the impact of head, hand, and body motion on wireless signal reliability.

Strengths

• Focuses on high-mobility XR use cases, an area noted as under-represented in prior art.
• Includes movement data for the head, hands, and body in six degrees of freedom (6DoF).
• Associated with peer-reviewed publication in IEEE Magazine and a detailed Arxiv paper.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from the provided papers and notebook.
• Last update date is unknown; freshness unverified.

Provenance

Source

KU Leuven

Collection Method

Tailor-made XR mobility measurement campaign.