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