This repository contains the code for two gaze-enabled AR applications along with eye tracking data sets:
The folder GEAR-4-HAR contains supplementary material of the publication:
Kenan Bektaş, Jannis Strecker, Simon Mayer, Kimberly Garcia, Jonas Hermann, Kay Erik Jenss, Yasmine Sheila Antille, and Marc Elias Solèr. 2023. GEAR: Gaze-enabled augmented reality for human activity recognition. In 2023 Symposium on Eye Tracking Research and Applications (ETRA ’23), May 30-June 2, 2023, Tübingen, Germany. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3588015.3588402
The folder GEAR2 contains an updated version of the other application with an extended dataset for the publication:
Kenan Bektaş, Jannis Strecker, Simon Mayer, and Kimberly Garcia. 2024. Gaze-enabled activity recognition for augmented reality feedback. Computers & Graphics (March 2024), 103909. https://doi.org/10.1016/j.cag.2024.103909
If you have questions about this research, feel free to contact Kenan Bektaş: [email protected].
This research has been done by the group of Interaction- and Communication-based Systems (interactions.ics.unisg.ch) at the University of St.Gallen (unisg.ch).
The code in this repository is licensed under the Apache License 2.0 (see LICENSE) if not stated differently in the individual files and folders.