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:

1. Data Preparation: Scripts for preparing the Who is Alyx dataset for training. For details, see the data preparation README.

2. 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:

@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.