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Jurgen Symanzik

Utah State University



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Chunyang Li

Utah State University



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Boyu Zhang

Utah State University



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Breanna Studenka

Utah State University



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Eric McKinney

Utah State University



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518 – Software for Statistical Computing

Eye-Tracking in Practice: A First Analysis of a Study on Human Postures

Sponsor: Section on Statistical Computing
Keywords: Eye-Tracking Data, Image Processing, Visualization, Machine Learning, Software, EyeTrackR R Package

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.

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