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Activity Number: 518 - Software for Statistical Computing
Type: Contributed
Date/Time: Wednesday, August 2, 2017 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract #324773 View Presentation
Title: Eye-Tracking in Practice: A First Analysis of a Study on Human Postures
Author(s): Jurgen Symanzik* and Chunyang Li and Boyu Zhang and Breanna Studenka and Eric McKinney
Companies: Utah State University and and Utah State University and Utah State University and Utah State University
Keywords: Eye-Tracking Data ; Image Processing ; Visualization ; Machine Learning ; Software ; EyeTrackR R Package

In this article, we present our first results of a study that tries to determine where people are looking when ranking the stability of an actor holding certain postures. A mobile eye-tracker is used to record the original video data of people looking at human postures. Image processing methods are employed to extract statistical information from the video data. The statistical analyses are based on visualization and machine learning approaches.

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

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