AEye: Artificial Intelligence for Eye Tracking Data: Deep Learning Methods for the Automated Analysis of Cognitive Processes

The goal of this Junior Research Group is the development of machine learning methods (mainly deep neural network architectures) for the analysis of eye-tracking data for different application areas such as the diagnosis of developmental language disorders, biometry, driver monitoring and adaptive e-learning.

This project is located at the Department of Computer Science at the University of Potsdam, Germany and is funded by the German Federal Ministry for Education and research. For details see  Artificial Intelligence for Eye Tracking Data and our AEye-lab repository on Github.

Project duration: 2020-2024

 

Principal Investigator

Prof. Dr. Lena A. Jäger

 

Researchers

Dr. Paul Prasse

Dr. Maja Stegenwallner-Schütz

Chiara Tschirner

David R. Reich

Shuwen Deng

Daniel Krakowczyk

 

Research assistants

Jakob Chwastek

Assunta Süss

Publications

Detection of ADHD based on Eye Movements during Natural ViewingECML/PKDD 2022
Shuwen Deng, Paul Prasse, David R. Reich, Sabine Dziemian, Maja Stegenwallner-Schütz, Daniel Krakowczyk, Silvia Makowski, Nicolas Langer, Tobias Scheffer, and Lena A. Jäger

Inferring Native and Non-Native Human Reading Comprehension and Subjective Text Difficulty from Scanpaths in ReadingETRA 2022
David R. Reich, Paul Prasse, Chiara Tschirner, Patrick Haller, Frank Goldhammer, and Lena A. Jäger
[http | video bib]

Fairness in Oculomotoric Biometric IdentificationETRA 2022
Paul Prasse, David R. Reich, Silvia Makowski, Lena A. Jäger, and Tobias Scheffer
[http | video | bib]

DeepEyedentificationLive: Oculomotoric Biometric Identification and Presentation-Attack Detection using Deep Neural Networks, IEEE Transactions on Biometrics, Behavior, and Identity Science 2021
Silvia Makowski, Paul Prasse, David R. Reich, Daniel Krakowczyk, Lena A. Jäger and Tobias Scheffer
[ http | bib]

On the Relationship between Eye Tracking Resolution and Performance of Oculomotoric Biometric Identification, Procedia Computer Science 2020
Paul Prasse, Lena A. Jäger, Silvia Makowski, Moritz Feuerpfeil, and Tobias Scheffer
[ http | bib]

Discriminative Viewer Identification using Generative Models of Eye Gaze, Procedia Computer Science 2020
Silvia Makowski, Lena A. Jäger, Lisa Schwetlick, Hans Trukenbrod, Ralf Engbert, and Tobias Scheffer
[ http | bib]

Biometric Identification and Presentation-Attack Detection using Micro- and Macro-Movements of the Eyes, IJCB 2020
Silvia Makowski, Lena A. Jäger, Paul Prasse, and Tobias Scheffer
[ pdf | http | bib]