https://arxiv.org/abs/2403.19768 We are happy to share our paper, Using Deep Learning to Increase Eye-Tracking Robustness, Accuracy, and Precision in Virtual Reality, which was accepted to ETRA 2024 Full Papers! In it, we explore the use of several high-performing deep learning eye feature detection networks and their effect on the downstream gaze estimation performance of Pupil Labs Core.

Hello! I’m engaged in a research on Visual behavior of ski athletes. Currently I’m searching for relevant articles, where I can find any keys for data recording and processing . I’ve just found a short video on Tobii YouTube channel about recoding data with eye-tracker glasses. But they don’t provide any links or papers. It’ll be great if someone could share with similar articles/notes by PupilLabs or anyone else.

Hi @user-1e429b 👋 ! We maintain a publications list on our webpage. You can filter by eyetracker, year, and/or research area and run a search.

You might also be interested in our blog post about race car drivers and our other one about motorcycle racers. Although not ski athletes, they are also moving at high speeds, navigating a course, and wearing helmets, so those articles could provide some ideas about potential lines of investigation.

Otherwise, our online docs contain information about how to use our eyetrackers, including tips on working with the data. If you would like, we can organize a Demo and Q&A call to show you how our eyetrackers work and answer some questions in real-time. Just send me a DM or send us an email [email removed] if you are interested.