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.
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