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Presentation
Eye-Tracking in Practice: A first Analysis of a Study on Human Postures
2017 Joint Statistical Meetings
  • Jurgen Symanzik, Utah State University
  • Chunyang Li, Utah State University
  • Boyu Zhang, Utah State University
  • Breanna Erin Studenka, Utah State University
  • Eric McKinney, Utah State University
Document Type
Presentation
Publisher
American Statistical Association
Location
Baltimore, MD
Publication Date
8-2-2017
Disciplines
Abstract
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.
Citation Information
Symanzik, J., *Li, C., Zhang, B., Studenka, B. E., & *McKinney, E., Eye-Tracking in Practice: A first Analysis of a Study on Human Postures. (August, 2017). Talk given at the Joint Statistical Meetings (JSM). Baltimore, Maryland.