NASA Eye-Tracking
19-4052 TCX · Classic Blue
Ruiz HCI Lab · University of Florida
Oct 2024 – Present

I wrote the eye-tracking software for a NASA-funded study on how fighter pilots get fatigued during high-stress flight simulations. It pairs a Pupil Labs Core headset with ArUco marker detection to work out exactly where a pilot is looking on a physical cockpit display, in real time, so we can tell when their attention starts to slip. Getting gaze to map cleanly onto real hardware was the part I found genuinely interesting.

Part of · HCI Research

In the Ruiz HCI Lab at UF I build the software behind human-subjects research, eye-tracking, augmented reality, and how people trust and use AI. That runs from real-time gaze pipelines to full study apps with IRB-compliant data collection, and into the analysis afterward. I like research questions you can only really answer by building the thing a person then sits down and uses.

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PythonOpenCVArUcoPupil LabsZMQNumPyCUDA