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Journal article

Deep learning models for webcam eye-tracking in online experiments

Abstract

Eye-tracking is prevalent in scientific and commercial applications. Recent computer vision and deep learning methods enable eye-tracking with off-the-shelf webcams and reduce dependence on expensive, restrictive hardware. However, such deep learning methods have not yet been applied and evaluated for remote, online psychological experiments. In this study, we tackle important challenges faced in remote eye-tracking setups and systematically …

Authors

Saxena S; Fink L; Lange EB

Journal

, , ,

Publisher

Center for Open Science

DOI

10.31219/osf.io/42qej