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

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 (<1°), gaze direction estimation, and continuous fixation positioning. Utilizing these lenses, diverse eye-tracking applications are demonstrated, including image identification, reading analysis, and outdoor interaction. This approach advances the development of lightweight, unobtrusive eye-tracking systems and facilitates broader application of gaze-based interaction technology in real-world settings.

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Publication Details

Journal
Nature Communications
Published
2026-02-03
DOI
https://doi.org/10.1038/s41467-026-68918-y
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Zhenning Qi, Songtao Yuan, Yuan Fang, Huan Yang et al.
Nature Communications
Gaze Tracking and Assistive Technology
article

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

Zhenning Qi, Songtao Yuan, Yuan Fang, Huan Yang, Hengtian Zhu, Yining Xu, Fei Xu, Yifeng Xiong, Heyu Huang, Zixu Li
article en

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 (<1°), gaze direction estimation, and continuous fixation positioning. Utilizing these lenses, diverse eye-tracking applications are demonstrated, including image identification, reading analysis, and outdoor interaction. This approach advances the development of lightweight, unobtrusive eye-tracking systems and facilitates broader application of gaze-based interaction technology in real-world settings.

Nature CommunicationsVol. 17(1)
Hefei University (CN), Collaborative Innovation Center of Advanced Microstructures (CN), Nanjing Medical University (CN), Nanjing University (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, National Science and Technology Major Project
Quality Education
Openalex Percentile: Top 72%
Gaze Tracking and Assistive Technology
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