Event-based sensing for efficient contextual AI in gaze-contingent smart eyewear

Kevin C. Boyle

doi:10.1117/12.3024886

13 March 2024 Event-based sensing for efficient contextual AI in gaze-contingent smart eyewear

Kevin C. Boyle

Proceedings Volume 12914, SPIE AR, VR, MR Invited Talks 2024; 129140D (2024) https://doi.org/10.1117/12.3024886
Event: SPIE AR | VR | MR, 2024, San Francisco, California, United States

Abstract

Zinn Labs leverages event sensors to bring gaze tracking to a new class of low-power smart frames and head-mounted displays. Gaze provides rich contextual data for AI systems that interact with users, enabling applications from understanding intent, or building a user interface, to optimizing display and lens systems. Zinn’s event-based gaze tracking system delivers fast and accurate performance for these applications, without the high computational cost or power of image-based approaches. This low-power, high-performance system brings a ubiquitous gaze signal to intelligent wearable devices that is enabling new applications like foveated rendering and context-aware virtual assistants that see what you see.

Conference Presentation

Citation Download Citation

Kevin C. Boyle "Event-based sensing for efficient contextual AI in gaze-contingent smart eyewear", Proc. SPIE 12914, SPIE AR, VR, MR Invited Talks 2024, 129140D (13 March 2024); https://doi.org/10.1117/12.3024886

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