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Using machine learning to detect events in eye-tracking data

2017192 citationsJournal Articlebronze Open Access

Authors

Raimondas Zemblys · Šiauliai University

Diederick C. Niehorster · Lund University

Oleg V. Komogortsev · Texas State University

Kenneth Holmqvist · Lund University

Topics & Keywords

Gaze Tracking and Assistive Technology Glaucoma and retinal disorders Retinal Imaging and Analysis

UN Sustainable Development Goals

Life in Land

Publication Details

Published in: Behavior Research Methods

Volume 50, Issue 1, pp. 160-181

DOI: 10.3758/s13428-017-0860-3

Field-Weighted Citation Impact: 13.19

Using machine learning to detect events in eye-tracking data | Researchclopedia