Design and Fabrication of mmWave Radar-Based Eye Tracking Smart Glasses

Eye tracking is becoming a central input modality for extended-reality and smart-glasses systems. In virtual reality, gaze can support foveated rendering, avatar eye contact, and hands-free selection. On AR or everyday smart glasses, gaze has an additional role: it tells what the wearer is paying attention to in the surrounding world. When a user asks, ''What is this?'', the answer depends on whether the user is looking at a sign, a warning light, a product label, or a person in the scene. This context is especially important for on-device AI agents. A front-facing camera can capture the scene, but it does not by itself reveal the user's attention. Gaze can disambiguate speech, focus perception, and enable low-effort interaction without asking the wearer to point or touch a controller. The challenge is that smart glasses have a much tighter hardware budget than headsets. Sensors must be small, low power, robust to outdoor conditions, and unobtrusive enough to fit into eyewear.

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Publication Details

Journal
GetMobile Mobile Computing and Communications
Published
2026-11-05
DOI
https://doi.org/10.1145/3860945.3860947
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Design and Fabrication of mmWave Radar-Based Eye Tracking Smart Glasses

Ruichun Ma, John S. Ho, Yasuo Morimoto, Jiang Zhu
GetMobile Mobile Computing and Communications
Gaze Tracking and Assistive Technology
article

Design and Fabrication of mmWave Radar-Based Eye Tracking Smart Glasses

Ruichun Ma, John S. Ho, Yasuo Morimoto, Jiang Zhu
article en

Abstract

Eye tracking is becoming a central input modality for extended-reality and smart-glasses systems. In virtual reality, gaze can support foveated rendering, avatar eye contact, and hands-free selection. On AR or everyday smart glasses, gaze has an additional role: it tells what the wearer is paying attention to in the surrounding world. When a user asks, ''What is this?'', the answer depends on whether the user is looking at a sign, a warning light, a product label, or a person in the scene. This context is especially important for on-device AI agents. A front-facing camera can capture the scene, but it does not by itself reveal the user's attention. Gaze can disambiguate speech, focus perception, and enable low-effort interaction without asking the wearer to point or touch a controller. The challenge is that smart glasses have a much tighter hardware budget than headsets. Sensors must be small, low power, robust to outdoor conditions, and unobtrusive enough to fit into eyewear.

GetMobile Mobile Computing and CommunicationsVol. 30(3)
Microsoft (United States) (US)
Openalex Percentile: Top 13%
Gaze Tracking and Assistive Technology
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