OpenGaze toolkit released

We are very happy to announce that, today, we released OpenGaze, the first open source toolkit for camera-based gaze estimation and interaction. Gaze estimation methods that only require an off-the-shelf camera have significantly improved and promise a wide range of new applications in gaze-based interaction and attentive user interfaces. However, these methods are not yet widely used in the human-computer interaction (HCI) community. With OpenGaze, we aim to democratize their use in HCI and therefore designed the toolkit specifically for gaze interface designers.

OpenGaze is described in more detail in the following paper:

1. 

   Evaluation of Appearance-Based Methods and Implications for Gaze-Based Applications

   Xucong Zhang, Yusuke Sugano, Andreas Bulling

   Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 1–13, 2019.

   Abstract Links BibTeX Project

   Appearance-based gaze estimation methods that only require an off-the-shelf camera have significantly improved but they are still not yet widely used in the human-computer interaction (HCI) community. This is partly because it remains unclear how they perform compared to model-based approaches as well as dominant, special-purpose eye tracking equipment. To address this limitation, we evaluate the performance of state-of-the-art appearance-based gaze estimation for interaction scenarios with and without personal calibration, indoors and outdoors, for different sensing distances, as well as for users with and without glasses. We discuss the obtained findings and their implications for the most important gaze-based applications, namely explicit eye input, attentive user interfaces, gaze-based user modelling, and passive eye monitoring. To democratise the use of appearance-based gaze estimation and interaction in HCI, we finally present OpenGaze (www.opengaze.org), the first software toolkit for appearance-based gaze estimation and interaction.

   doi: 10.1145/3290605.3300646

   Paper: zhang19_chi.pdf

   Code: http://www.opengaze.org/

   @inproceedings{zhang19_chi, author = {Zhang, Xucong and Sugano, Yusuke and Bulling, Andreas}, title = {Evaluation of Appearance-Based Methods and Implications for Gaze-Based Applications}, booktitle = {Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI)}, year = {2019}, doi = {10.1145/3290605.3300646}, pages = {1--13} }

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