People's eye movements when navigating obstacle-filled environments are more complex than one might assume at first glance. People often multi-task when navigating an environment and only occasionally glance at the ground to avoid any obstacles in their path. The goal of this project is to explore the motivations behind human gaze movements during specific scenarios. An eye-tracking system, along with a depth camera, will be used in the data collection process. These data collection systems will be set up in a way to ensure that they do not impact the biomechanics of walking. The collected data will be labelled and pre-processed to assist in the creation of a machine-learning based system that can mimic and predict a human’s gaze movements in specific tasks such as navigation.