https://github.com/ubisoft/ubisoft-laforge-lookat
https://github.com/ubisoft/ubisoft-laforge-lookat
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/ubisoft/ubisoft-laforge-lookat
- Owner: ubisoft
- License: other
- Created: 2023-10-27T21:58:43.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-11-07T16:12:32.000Z (over 2 years ago)
- Last Synced: 2025-07-28T04:16:22.286Z (11 months ago)
- Language: Roff
- Size: 18.6 KB
- Stars: 5
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# LookAt-Data
This repository contains the motion capture data pertraining to our work [Generating Emotionally Expressive Look-At Animation](https://dl.acm.org/doi/10.1145/3623264.3624438).
## File Naming
Files are named in the format `[RecordingNumber]_[EngagingStyle][EngagingStyleIntensity]_[DisengagingStyle][DisengagingStyleIntensity]`. The style names are herby abbreviated to a single letter based on the following mapping:
- C = Confrontational
- D = Down
- F = Fearful
- G = Disgust
- H = Happy
- I = Interested
- S = Surprise
- N1 = Bored
- N2 = Neutral
- N3 = Distracted
Each style except the 'N' styles (neutral, bored, distracted) was captured with 2 intensity, for example, 'C2' and 'C3' refer to medium and high level expression of confrontation, respectively.
When recoding of a style combination was repeated, _000 and _001 are added to the file name for the first and second repeat, respectively.
## File Contents
Each file contains the full body motion-capture plus the tracked motion of the two look-at targets. The actor alternates between the two targets, which are moved after each look-at take.
Start frame of each look-at take at 120fps are listed in `all_frame_ranges.csv`. End frames are simply listed as the start frame of the next take.
## Using this data
This dataset is for non-commercial research purposes only. If you use this dataset, you must cite the paper:
```
@inproceedings{ferstl2023generating,
title={Generating Emotionally Expressive Look-At Animation},
author={Ferstl, Ylva},
booktitle={Proceedings of the 16th ACM SIGGRAPH Conference on Motion, Interaction and Games},
pages={1--6},
year={2023}
}
```
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