Article

A Hidden Markov Model for Analyzing Eye-Tracking of Moving Objects

2019-06-09

Abstract excerpt

<p>Eye-tracking provides an opportunity to generate and analyze high-density data relevant to understanding cognition. However, while events in the real world are often dynamic, eye-tracking paradigms are typically limited to assessing gaze toward static objects. In this study, we propose a generative framework, based on a hidden Markov model (HMM), for using eye-tracking data to analyze behavior in the context of...

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Literature Corpus work: 484f1a9e-d774-5730-9e0a-f7316ffd1e5a
DOI: 10.31234/osf.io/mqpnf

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