Self-Attribution of Distorted Reaching Movements in Immersive Virtual Reality Dataset
- 1. Immersive Interaction Group, EPFL
- 2. Gonda Multidisciplinary Brain Research Center, Bar-Ilan University
- 3. Laboratory of Cognitive Neuroscience, EPFL
- 4. Center for Neuroprosthetics, EPFL
Description
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
characterization.csv
Files
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Additional details
Funding
- Swiss National Science Foundation
- Immersive Embodied Interactions in Virtual Environments 200020_159968