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arXiv · 2512.11592

Compact Eye Tracking for VR/AR Displays via Deep Learned MicroLED Projection and Single-Pixel Sensing

Graeme E. Johnstone·Catherine F. Higham·Aisha Kanwal·Johannes Herrnsdorf·Robert K. Henderson·Martin D. Dawson·Roderick Murray-Smith·Michael J. Strain
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Abstract

Fast and accurate eye tracking in a virtual reality or augmented reality headset could lead to better display performance and enable novel methods of user interaction with the system. However, it remains a challenge for a system to combine the required operational speed and accuracy of eye tracking with a technology that has a small enough form factor and weight to be easily integrated into a user-friendly headset. By using small, lightweight hardware comprising a high frame rate microLED array and fast single pixel detector, we report a model eye tracking system based on single pixel tracking and a specially developed set of deep learned illumination patterns. This model system is used to demonstrate eye tracking with an angular accuracy of better than one degree and a measurement rate of up to $3.59 \,$ kHz.

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Graeme E. Johnstone, Catherine F. Higham, Aisha Kanwal, Johannes Herrnsdorf, Robert K. Henderson, Martin D. Dawson, Roderick Murray-Smith, Michael J. Strain. 2025-12-12. Compact Eye Tracking for VR/AR Displays via Deep Learned MicroLED Projection and Single-Pixel Sensing. https://arxiv.org/abs/2512.11592

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