Date of Award:
8-2022
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Mathematics and Statistics
Committee Chair(s)
Jürgen Symanzik
Committee
Jürgen Symanzik
Committee
Adele Cutler
Committee
Sarah Schwartz
Committee
Breanna Studenka
Abstract
Eye tracking is a technology used to track where someone is looking. Eye-tracking technology is often used to study what people focus on when looking at a photo of another person. The eye-tracking technology records points on a photo that a person is looking at. When the photo being looked at shows a person, the points can be categorized by body part such as head, right hand, left hand, and torso. This thesis presents the use of partially circular areas to define the body parts of the person in the photo and therefore categorize the points collected by the eye-tracker. The participants for this study consisted of 20 people who practiced yoga and 20 people who did not practice yoga. These participants were asked to look at 22 pictures of a person standing in different postures. In this thesis, we analyze differences in how those who practice yoga look at the pictures compared to those who do not practice yoga using the partially circular areas to define where the points belong.
Checksum
dcc768052720a1747edd1c3efb185413
Recommended Citation
Coltrin, Joanna D., "Defining Areas of Interest Using Voronoi and Modified Voronoi Tesselations to Analyze Eye-Tracking Data" (2022). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 8508.
https://digitalcommons.usu.edu/etd/8508
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