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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Bibliographic Details
Main Authors: De Kunst, Sam, Marinšek Alexander, Callebaut, Gilles, De Strycker, Lieven, Van der Perre, Liesbet
Format: Dataset
Language:unknown
Published: Zenodo 2023
Subjects:
vr
xr
Online Access:https://dx.doi.org/10.5281/zenodo.8224633
https://zenodo.org/doi/10.5281/zenodo.8224633
id ftdatacite:10.5281/zenodo.8224633
record_format openpolar
spelling 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)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id 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