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Activity Number: 353 - Data Science
Type: Contributed
Date/Time: Tuesday, July 31, 2018 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract #330604 Presentation
Title: Eye-Tracking in Practice: Results from a Study on Human Postures
Author(s): Juergen Symanzik* and Eric McKinney and Breanna Studenka
Companies: Utah State University and Utah State University and Utah State University
Keywords: Eye-Tracking Data; Image Processing; Visualization; Software; EyeTrackR R Package; Syrjala Test

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.

Authors who are presenting talks have a * after their name.

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