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518 – Software for Statistical Computing
Eye-Tracking in Practice: A First Analysis of a Study on Human Postures
Jurgen Symanzik
Utah State University
Chunyang Li
Utah State University
Boyu Zhang
Utah State University
Breanna Studenka
Utah State University
Eric McKinney
Utah State University
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.