Dataset Open Access

Self-Attribution of Distorted Reaching Movements in Immersive Virtual Reality Dataset

Galvan Debarba, Henrique; Boulic, Ronan; Salomon, Roy; Blanke, Olaf; Herbelin, Bruno

This dataset accompanies the paper “Self-Attribution of Distorted Reaching Movements in Immersive Virtual Reality” published in the Computer and Graphics journal from Elsevier. It contains 3 datasets related to the experiments described in the paper. All datasets are in “.csv” format and can be easily loaded by statistical analysis tools (e.g. a dataset can be loaded in r using the command read.csv(“filename.csv”)). It also contains the C# Unity implementation of the distortion function presented in the paper.

Paper reference:

Galvan Debarba H, Boulic R, Salomon R, Blanke O, Herbelin B. Self-Attribution of Distorted Reaching Movements in Immersive Virtual Reality. Computers & Graphics. 2018; ISSN 0097-8493. Elsevier.

DOI: doi.org/10.1016/j.cag.2018.09.001

Files (1.0 MB)
Name Size
ApplyDistortion.cs
md5:c8126df4dce6e36e2da8667fd17c7abf
1.0 kB Download
characterization.csv
md5:a1b9c8dc730eff08b3668da12eb047cc
3.3 kB Download
Databook.pdf
md5:4e8ea48aa4af21d7582e854b8e444761
92.1 kB Download
DistortionModel.cs
md5:e7bd1e0137ee3ee28ee4168287669758
2.6 kB Download
experiment_1.csv
md5:b33c768ad9c2699afafd2634bc2b4479
818.3 kB Download
experiment_2.csv
md5:56b0f463b4ab5e5fbb837bd6fdf46ff6
99.5 kB Download
61
76
views
downloads
All versions This version
Views 6161
Downloads 7676
Data volume 13.3 MB13.3 MB
Unique views 5050
Unique downloads 3737

Share

Cite as