Data underlying the BSc thesis: Writing in VR with a word-gesture keyboard and matching gestures using Bezier curves
doi:10.4121/2e0d26b2-74a0-4896-839f-af0319e48d02.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/2e0d26b2-74a0-4896-839f-af0319e48d02
doi: 10.4121/2e0d26b2-74a0-4896-839f-af0319e48d02
Datacite citation style:
Nanovski, Stiliyan; Marroquim, Ricardo; Zaidi, Amir (2024): Data underlying the BSc thesis: Writing in VR with a word-gesture keyboard and matching gestures using Bezier curves. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/2e0d26b2-74a0-4896-839f-af0319e48d02.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
CC0
This dataset contains the anonymised writing data of 21 people using a word-gesture keyboard in VR. Each user sample contains 16 phrases that were written using the keyboard and whose gestures were matched against one of two types of perfect gestures graphs (PGGs) - PGGs consisting of straight lines or consisting of Bezier curves. The keyboard is publicly available at https://github.com/snanovski/bezier-word-gesture-keyboard
history
- 2024-06-28 first online, published, posted
publisher
4TU.ResearchData
format
text/plain
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science
DATA
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