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353 – Data Science
Eye-Tracking in Practice: Results from a Study on Human Postures
Sponsor: Section on Statistical Computing
Keywords: Eye-Tracking Data, Image Processing, Visualization, Software, EyeTrackR R Package, Syrjala Test
Juergen Symanzik
Utah State University
Eric McKinney
Utah State University
Breanna Studenka
Utah State University
Brennan Bean
Utah State University
Melanie Athens
Utah State University
Madison Hansen
Utah State University
In this article, we present preliminary results of a study that tries to determine where people are looking when ranking the stability of a model holding certain postures. A portable eye-tracker is used to record the original video data of people looking at human postures. Image processing is used to extract statistical information from the video data. Visualization and the Syrjala test are used for the statistical analyses.