https://github.com/cschell/mops
This repository hosts the code for the paper "Motion Passwords", introducing a novel biometric verification method for XR environments.
Science Score: 49.0%
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○CITATION.cff file
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Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: acm.org -
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○Scientific vocabulary similarity
Low similarity (8.7%) to scientific vocabulary
Repository
This repository hosts the code for the paper "Motion Passwords", introducing a novel biometric verification method for XR environments.
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
Readme.md
Motion Passwords
This repository hosts the code for the paper "Motion Passwords" by Rack et al., which has been published at VRST 2024. 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 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: 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.
Owner
- Name: Christian Schell
- Login: cschell
- Kind: user
- Location: Würzburg, Bavaria
- Company: Chair for Human Computer Interaction, University of Würzburg, Bavaria
- Repositories: 23
- Profile: https://github.com/cschell
I'm a Phd student from Würzburg, Bavaria, focussing on applying deep learning techniques on biometric data.
GitHub Events
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- Push event: 1
Last Year
- Push event: 1
Dependencies
- matplotlib *
- motion-learning-toolbox >=1.0.6
- numpy *
- pandas *
- pyarrow *
- seaborn *
- tqdm *
- dvc <3.48.1
- dvc-ssh *
- lightning *
- motion-learning-toolbox >=1.0.6
- numpy *
- pandas *
- pyarrow *
- pytorch-metric-learning *
- rootutils *
- scikit-learn *
- seaborn *
- torch *
- torchmetrics *
- tqdm *
- tslearn *
- wandb *