Using Statistical Clustering of Trajectory Data to Support Analysis of Subject Movement in a Virtual Environment

Author

Martín Alejandro Galicia Avila, The University of Texas Rio Grande Valley

Date of Award

12-2023

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Engineering Management

First Advisor

Alley Butler

Second Advisor

Douglas Timmer

Third Advisor

Benjamin Peters

Abstract

The rising use of virtual reality software requires new methods of spatiotemporal analysis to enhance the user experience. This investigation is focused on forming clusters from spatiotemporal trajectories within a virtual environment and analyzing them in search of human immersion and behavior insights. The cluster centroids are plotted and analyzed to identify associations with the trajectories and user demographics.

Comments

Copyright 2023 Martín Alejandro Galicia Avila. All Rights Reserved.

https://go.openathens.net/redirector/utrgv.edu?url=https://www.proquest.com/pqdtglobal1/dissertations-theses/using-statistical-clustering-trajectory-data/docview/2928100197/sem-2?accountid=7119

Recommended Citation

Galicia Avila, Martín Alejandro, "Using Statistical Clustering of Trajectory Data to Support Analysis of Subject Movement in a Virtual Environment" (2023). Theses and Dissertations. 1438.
https://scholarworks.utrgv.edu/etd/1438