who-is-alyx-code
Code for preprocessing and training models on the Who is Alyx? dataset for XR user identification using behavioral biometrics
Science Score: 67.0%
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Links to: frontiersin.org -
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Low similarity (7.5%) to scientific vocabulary
Repository
Code for preprocessing and training models on the Who is Alyx? dataset for XR user identification using behavioral biometrics
Basic Info
- Host: GitHub
- Owner: cschell
- License: other
- Language: Python
- Default Branch: main
- Size: 46.9 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
Readme.md
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".
Repository Structure
The repository is organized into two main parts:
Data Preparation: Scripts for preparing the Who is Alyx dataset for training. For details, see the data preparation README.
Model Training: Code for training and evaluating the CNN and GRU models. For details, see the training README.
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.
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.
Citation (Citation.cff)
cff-version: 1.2.0
message: "If you use this code, please cite it as below."
authors:
- family-names: "Rack"
given-names: "Christian"
orcid: "https://orcid.org/0000-0002-1870-5781"
- family-names: "Fernando"
given-names: "Tamara"
- family-names: "Yalcin"
given-names: "Murat"
- family-names: "Hotho"
given-names: "Andreas"
orcid: "https://orcid.org/0000-0003-2888-6797"
- family-names: "Latoschik"
given-names: "Marc Erich"
orcid: "https://orcid.org/0000-0001-7907-4950"
title: "Who Is Alyx? Dataset Processing and Models"
version: 1.0.0
doi: 10.3389/frvir.2023.1272234
date-released: 2023-08-15
url: "https://github.com/cschell/Who-Is-Alyx-Code"
preferred-citation:
type: article
authors:
- family-names: "Rack"
given-names: "Christian"
- family-names: "Fernando"
given-names: "Tamara"
- family-names: "Yalcin"
given-names: "Murat"
- family-names: "Hotho"
given-names: "Andreas"
- family-names: "Latoschik"
given-names: "Marc Erich"
doi: "10.3389/frvir.2023.1272234"
journal: "Frontiers in Virtual Reality"
title: "Who Is Alyx? A New Behavioral Biometric Dataset for User Identification in XR"
volume: 4
year: 2023
license: CC-BY-NC-SA-4.0
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Dependencies
- nvidia/cuda 11.4.1-cudnn8-runtime-ubuntu20.04 build
- faiss-gpu *
- hydra-colorlog *
- hydra-core >=1.2.0
- matplotlib *
- numpy *
- pandas *
- pudb *
- pyarrow *
- python-dotenv *
- pytorch-lightning *
- pytorch-metric-learning *
- rich *
- scikit-learn *
- scipy *
- seaborn *
- sh *
- tables *
- torch *
- torchvision *
- tqdm *
- wandb *