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Frontiers of Information Technology & Electronic Engineering >> 2022, Volume 23, Issue 1 doi: 10.1631/FITEE.2000318
EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum
Affiliation(s): Department of Computer Science, Durham University, Durham DH1 3LE, UK; Department of Computer Science and Information Technology, La Trobe University, VIC 3086, Australia; Alibaba Group, Hangzhou 311121, China; Department of Digital Media, Zhejiang University, Hangzhou 310027, China; International Design Institute, Zhejiang University, Hangzhou 310058, China; less
Abstract
Keywords
Visual attention ; Virtual museums ; Eye-tracking datasets ; Gaze detection ; Deep learning
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