Spatial-chromatic encoding cosmetic contact lenses for enhanced natural eye tracking

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Authors: Hengtian Zhu, Heyu Huang, Huan Yang, Zixu Li, Zhenning Qi, Yuan Fang, Yining Xu, Yifeng Xiong, Ye Chen, Songtao Yuan, Fei Xu
Cited by: 1
References: 45

Abstract

Vision-based analysis of ocular features represents the predominant approach for eye tracking. However, these features are highly susceptible to interference from illumination, eyelid/eyelash occlusion, and individual variations, leading to low recognition rates and diminished tracking accuracy. To address these limitations, eye movement feature enhanced cosmetic contact lenses are proposed, implementing a spatial-chromatic encoding strategy. Employing a head-mounted eye tracker integrated with RGB cameras, this system enables accurate and robust gaze tracking in natural environments. Under challenging illumination, the lenses achieve a 93% feature recognition rate, significantly surpassing pupil recognition and tolerating highly off-axis camera placement. Eye movement model and human eye tracking demonstrate superior accuracy (

Fields of Study & Subjects

Gaze Tracking and Assistive Technology Visual Attention and Saliency Detection Ophthalmology and Visual Impairment Studies

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
3 February 2026
Language
EN