DaRUS

Metrics

3,803,049 Downloads

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

License: MIT License

1,241 to 1,250 of 1,647 Results

compute_full_matrix_eff.m Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices Plain Text - 907 B - MD5: 2954d4415510f4f71d8a47df49e55cd4 efficient algorithm for full matrix
compute_full_matrix_ref.m Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices Plain Text - 659 B - MD5: 22f20a3cfc19519a2553461acc0b213e reference method for full matrix
generate_system_3d_frame.m Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices Plain Text - 7.8 KB - MD5: dc7dbde7eabb99aef6b64a85d39f6b15 generate data for example 3
generate_system_mero_roof.m Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices Plain Text - 5.1 KB - MD5: 333a06641fdac10d8288ec54fa933dd8 generate data for example 2
generate_system_truss_cylinder.m Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices Plain Text - 5.4 KB - MD5: 64636eecc921eacea9e4a5e1bd535b75 generate data for example 1
LICENSE.txt Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices Plain Text - 1.4 KB - MD5: 6ca1cc528070943a7d930345d878fd1d
main.m Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices Plain Text - 3.2 KB - MD5: 84db747d55f55f53143117a0cf584530
Replication Data for: Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments Jun 12, 2023 - EXC IntCDC Research Project 28 'Visual Support for Architectural Design and Construction' Pathmanathan, Nelusa; Öney, Seyda; Becher, Michael; Sedlmair, Michael; Weiskopf, Daniel; Kurzhals, Kuno, 2023, "Replication Data for: Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments", https://doi.org/10.18419/DARUS-3383, DaRUS, V1 The file contains a Unity project, which allows to test the desktop-based visualization techniques introduced in the Paper "Been there, Seen that: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments". It allows you to analyze 3D gaze and movement data sets recorded using the HoloLens 2. It provides you with a gaze replay...
BTST-main.zip Jun 12, 2023 - Replication Data for: Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments ZIP Archive - 30.4 MB - MD5: fcc189c5efc2ffbd24feb30c32b1a90e This file contains the Unity project for the desktop-based visualization techniques introduced in the paper "Been There, Seen That (BTST): Visualization of 3D eye tracking data from real world environments"
Replication Data for: Visual Gaze Labeling for Augmented Reality Studies Jun 12, 2023 - EXC IntCDC Research Project 10 'Co-Design from Architectural, Social and Computational Perspectives' Öney, Seyda; Pathmanathan, Nelusa; Becher, Michael; Sedlmair, Michael; Weiskopf, Daniel; Kurzhals, Kuno, 2023, "Replication Data for: Visual Gaze Labeling for Augmented Reality Studies", https://doi.org/10.18419/DARUS-3384, DaRUS, V1 This .zip file contains the Unity project of the visualization tool described in the paper "Visual Gaze Labeling for Augmented Reality Studies" which was accepted at EuroVis 2023 Conference. This tool can be used to annotate gaze data from Augmented Reality (AR) scenarios to perform AOI based eye-tracking analysis. The visualization tool consists o...

compute_full_matrix_eff.m

Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices

Plain Text - 907 B -

efficient algorithm for full matrix

compute_full_matrix_ref.m

Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices

Plain Text - 659 B -

reference method for full matrix

generate_system_3d_frame.m

Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices

Plain Text - 7.8 KB -

generate data for example 3

generate_system_mero_roof.m

Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices

Plain Text - 5.1 KB -

generate data for example 2

generate_system_truss_cylinder.m

Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices

Plain Text - 5.4 KB -

generate data for example 1

LICENSE.txt

Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices

Plain Text - 1.4 KB -

main.m

Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices

Plain Text - 3.2 KB -

Replication Data for: Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments

Jun 12, 2023 - EXC IntCDC Research Project 28 'Visual Support for Architectural Design and Construction'

Pathmanathan, Nelusa; Öney, Seyda; Becher, Michael; Sedlmair, Michael; Weiskopf, Daniel; Kurzhals, Kuno, 2023, "Replication Data for: Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments", https://doi.org/10.18419/DARUS-3383, DaRUS, V1

The file contains a Unity project, which allows to test the desktop-based visualization techniques introduced in the Paper "Been there, Seen that: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments". It allows you to analyze 3D gaze and movement data sets recorded using the HoloLens 2. It provides you with a gaze replay...

BTST-main.zip

Jun 12, 2023 - Replication Data for: Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments

ZIP Archive - 30.4 MB -

This file contains the Unity project for the desktop-based visualization techniques introduced in the paper "Been There, Seen That (BTST): Visualization of 3D eye tracking data from real world environments"

Replication Data for: Visual Gaze Labeling for Augmented Reality Studies

Jun 12, 2023 - EXC IntCDC Research Project 10 'Co-Design from Architectural, Social and Computational Perspectives'

Öney, Seyda; Pathmanathan, Nelusa; Becher, Michael; Sedlmair, Michael; Weiskopf, Daniel; Kurzhals, Kuno, 2023, "Replication Data for: Visual Gaze Labeling for Augmented Reality Studies", https://doi.org/10.18419/DARUS-3384, DaRUS, V1

This .zip file contains the Unity project of the visualization tool described in the paper "Visual Gaze Labeling for Augmented Reality Studies" which was accepted at EuroVis 2023 Conference. This tool can be used to annotate gaze data from Augmented Reality (AR) scenarios to perform AOI based eye-tracking analysis. The visualization tool consists o...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications