XR training and gameplay 6DoF mobility dataset ...
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 mobili...
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Online Access: | https://dx.doi.org/10.5281/zenodo.8224633 https://zenodo.org/doi/10.5281/zenodo.8224633 |
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ftdatacite:10.5281/zenodo.8224633 2024-04-28T08:40:52+00:00 XR training and gameplay 6DoF mobility dataset ... De Kunst, Sam Marinšek Alexander Callebaut, Gilles De Strycker, Lieven Van der Perre, Liesbet 2023 https://dx.doi.org/10.5281/zenodo.8224633 https://zenodo.org/doi/10.5281/zenodo.8224633 unknown Zenodo https://dx.doi.org/10.5281/zenodo.8224632 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 virtual reality extended reality vive tundra body tracking steamvr openvr vr xr mobility tracking data dataset Dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.822463310.5281/zenodo.8224632 2024-04-02T11:43:35Z 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] ... Dataset Tundra DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
topic |
virtual reality extended reality vive tundra body tracking steamvr openvr vr xr mobility tracking data |
spellingShingle |
virtual reality extended reality vive tundra body tracking steamvr openvr vr xr mobility tracking data De Kunst, Sam Marinšek Alexander Callebaut, Gilles De Strycker, Lieven Van der Perre, Liesbet XR training and gameplay 6DoF mobility dataset ... |
topic_facet |
virtual reality extended reality vive tundra body tracking steamvr openvr vr xr mobility tracking data |
description |
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] ... |
format |
Dataset |
author |
De Kunst, Sam Marinšek Alexander Callebaut, Gilles De Strycker, Lieven Van der Perre, Liesbet |
author_facet |
De Kunst, Sam Marinšek Alexander Callebaut, Gilles De Strycker, Lieven Van der Perre, Liesbet |
author_sort |
De Kunst, Sam |
title |
XR training and gameplay 6DoF mobility dataset ... |
title_short |
XR training and gameplay 6DoF mobility dataset ... |
title_full |
XR training and gameplay 6DoF mobility dataset ... |
title_fullStr |
XR training and gameplay 6DoF mobility dataset ... |
title_full_unstemmed |
XR training and gameplay 6DoF mobility dataset ... |
title_sort |
xr training and gameplay 6dof mobility dataset ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.8224633 https://zenodo.org/doi/10.5281/zenodo.8224633 |
genre |
Tundra |
genre_facet |
Tundra |
op_relation |
https://dx.doi.org/10.5281/zenodo.8224632 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.5281/zenodo.822463310.5281/zenodo.8224632 |
_version_ |
1797571352594481152 |