https://github.com/cschell/who-is-alyx-code
Code for preprocessing and training models on the Who is Alyx? dataset for XR user identification using behavioral biometrics
https://github.com/cschell/who-is-alyx-code
Last synced: 5 months ago
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Code for preprocessing and training models on the Who is Alyx? dataset for XR user identification using behavioral biometrics
- Host: GitHub
- URL: https://github.com/cschell/who-is-alyx-code
- Owner: cschell
- License: other
- Created: 2024-12-28T16:00:43.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-28T16:04:35.000Z (over 1 year ago)
- Last Synced: 2025-09-05T15:12:11.379Z (9 months ago)
- Language: Python
- Size: 46.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: Readme.md
- License: License.md
- Citation: Citation.cff
Awesome Lists containing this project
README
# Who Is Alyx? Dataset Processing and Models
This repository contains the code used for preprocessing and training the models described in our paper ["Who Is Alyx? A New Behavioral Biometric Dataset for User Identification in XR"](https://www.frontiersin.org/articles/10.3389/frvir.2023.1272234).
## Repository Structure
The repository is organized into two main parts:
1. **Data Preparation**: Scripts for preparing the Who is Alyx dataset for training. For details, see the [data preparation README](data_preparation/Readme.md).
2. **Model Training**: Code for training and evaluating the CNN and GRU models. For details, see the [training README](machine_learning/Readme.md).
## Citation
If you use this code in your research, please cite our paper:
```bibtex
@article{RackWhoAlyxNew2023,
title = {{{Who Is Alyx}}? A New Behavioral Biometric Dataset for User Identification in {{XR}}},
author = {Rack, Christian and Fernando, Tamara and Yalcin, Murat and Hotho, Andreas and Latoschik, Marc Erich},
date = {2023},
journaltitle = {Frontiers in Virtual Reality},
volume = {4},
issn = {2673-4192},
doi = {10.3389/frvir.2023.1272234},
url = {https://www.frontiersin.org/articles/10.3389/frvir.2023.1272234}
}
```
## License
This work by Christian Rack, Tamara Fernando, Murat Yalcin, Andreas Hotho and Marc E. Latoschik is licensed under CC BY-NC-SA 4.0.