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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2024
License: CC BY
Data sources: Sygma
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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XR training and gameplay 6DoF mobility dataset

Authors: De Kunst, Sam; Marinšek Alexander; Callebaut, Gilles; De Strycker, Lieven; Van der Perre, Liesbet;

XR training and gameplay 6DoF mobility dataset

Abstract

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]

Compiled tracking data into a single dataset. We recommend using Xarray and Dask for opening the tracking and controller input data, stored in `cacerumd.h5` and `cacerumdcontroller.h5`, respectively. Dask allows for lazy loading (without occupying memory), while Xarray is handy in manipulating the multi-dimensional data. The file `cacerumd_continuous_intervals.csv` describes the intervals on which data is continuously sampled at 250 Hz. The supplied photo, `cacerumd.png` shows a user conducting the T-pose in the measurement environment.

Related Organizations
Keywords

vr, vive, tundra, xr, extended reality, body tracking, steamvr, mobility, head-mounted display, openvr, tracking data, virtual reality

  • BIP!
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average