WEyeDS: A desktop webcam dataset for gaze estimation
Article No.: 52, Pages 1 - 2
Abstract
We introduce the Webcam Eye Dataset (WEyeDS) 1, a dataset of images collected from desktops and laptops. WEyeDS will be openly available with the goal of providing researchers a dataset for training gaze estimation models. Our preliminary dataset was collected from 38 participants who completed prosaccade tasks on their personal desktop or laptop computer. We benchmarked the dataset using a convolutional neural network. The results of our benchmark model demonstrate some challenges in accuracy due to variability across devices and small sample size. Future work will significantly expand the number of participants and frames.
References
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Tobiasz Kaduk, Caspar Goeke, Holger Finger, and Peter König. 2023. Webcam eye tracking close to laboratory standards: Comparing a new webcam-based system and the EyeLink 1000.Behavior research methods (2023). https://doi.org/10.3758/s13428-023-02237-8
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Kyle Krafka, Aditya Khosla, Petr Kellnhofer, Harini Kannan, Suchendra Bhandarkar, Wojciech Matusik, and Antonio Torralba. 2016. Eye Tracking for Everyone. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
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- WEyeDS: A desktop webcam dataset for gaze estimation
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June 2024
525 pages
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Association for Computing Machinery
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Published: 04 June 2024
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ETRA '24: The 2024 Symposium on Eye Tracking Research and Applications
June 4 - 7, 2024
Glasgow, United Kingdom
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