Files related to our manuscript, "Eye Know You Too: Toward Viable End-to-End Eye Movement Biometrics for User Authentication," in IEEE Transactions on Information Forensics and Security, 2022, doi: 10.1109/TIFS.2022.3201369.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 2 of 2 Results
Source Code and Pretrained Models for Eye Know You Too
Aug 30, 2022
Lohr, Dillon; Komogortsev, Oleg V, 2022, "Source Code and Pretrained Models for Eye Know You Too", https://doi.org/10.18738/T8/61ZGZN, Texas Data Repository, V1
Full source code and pre-trained models for Eye Know You Too. Enables downloading datasets, partitioning samples into train/val/test splits, training your own models, embedding eye movement signals (using your own models or our provided pre-trained models), and evaluating biometr...
Minimal Replicable Example for Eye Know You Too
Aug 14, 2022
Lohr, Dillon; Komogortsev, Oleg, 2022, "Minimal Replicable Example for Eye Know You Too", https://doi.org/10.18738/T8/VM14DS, Texas Data Repository, V1, UNF:6:G4W5comGix7gKJrtC5xwZg== [fileUNF]
Small sample of code, models, and data to replicate our primary result of 3.66% EER. Provided with the initial submission of our manuscript to IEEE T-IFS.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.