https://github.com/cschell/mops
This repository hosts the code for the paper "Motion Passwords", introducing a novel biometric verification method for XR environments.
https://github.com/cschell/mops
Last synced: 5 months ago
JSON representation
This repository hosts the code for the paper "Motion Passwords", introducing a novel biometric verification method for XR environments.
- Host: GitHub
- URL: https://github.com/cschell/mops
- Owner: cschell
- Created: 2024-08-12T14:18:13.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-04-14T09:34:18.000Z (about 1 year ago)
- Last Synced: 2025-09-10T06:38:51.276Z (9 months ago)
- Language: Python
- Homepage:
- Size: 40.3 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.md
Awesome Lists containing this project
README
# Motion Passwords
This repository hosts the code for the paper "Motion Passwords" by Rack et al., which has been published at [VRST 2024](https://dl.acm.org/doi/10.1145/3641825.3687711). The paper introduces Motion Passwords, a novel biometric verification method for VR environments, where users verify their identity by writing a chosen word in 3D space.
## Setup
After cloning, make sure to install [DVC](https://dvc.org/doc/install) and pull all data files with `dvc pull`.
## Repository Structure
The repository is structured into two subfolders:
- **preprocessing**: Contains the code for preprocessing the Motion Password dataset.
- **training**: Includes machine learning and evaluation code used in the paper.
Both subfolders have dedicated README files with detailed instructions.
## Related Repositories
- [Motion Password Dataset](https://github.com/cschell/MoPs-Dataset): This repository hosts the Motion Password dataset used in the study.
- [Unity Prototype (coming soon)](#): This repository hosts the Unity prototype introduced in the paper.
## Citation
Please use the following BibTeX entry to cite this work:
```bibtex
@conference{rack2024motion,
title = {Motion Passwords},
author = {Rack, Christian and Schach, Lukas and Achter, Felix and Shehada, Yousof and Lin, Jinghuai and Latoschik, Marc Erich},
booktitle = {Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology},
year = {2024},
series = {VRST '24},
address = {New York, NY, USA},
publisher = {Association for Computing Machinery},
note = {accepted},
doi = {10.1145/3641825.3687711}
}
```
For more details, refer to the subfolder READMEs and the linked repositories.