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Frequency-encoded eye tracking smart contact lens for human–machine interaction

Authors :
Hengtian Zhu
Huan Yang
Siqi Xu
Yuanyuan Ma
Shugeng Zhu
Zhengyi Mao
Weiwei Chen
Zizhong Hu
Rongrong Pan
Yurui Xu
Yifeng Xiong
Ye Chen
Yanqing Lu
Xinghai Ning
Dechen Jiang
Songtao Yuan
Fei Xu
Source :
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Eye tracking techniques enable high-efficient, natural, and effortless human-machine interaction by detecting users’ eye movements and decoding their attention and intentions. Here, a miniature, imperceptible, and biocompatible smart contact lens is proposed for in situ eye tracking and wireless eye-machine interaction. Employing the frequency encoding strategy, the chip-free and battery-free lens successes in detecting eye movement and closure. Using a time-sequential eye tracking algorithm, the lens has a great angular accuracy of

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.23e8ad7ad30845edaa0a4bea2b87a443
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-024-47851-y