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

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 () and Fei Xu ()
Additional contact information
Hengtian Zhu: Nanjing University
Huan Yang: Nanjing University
Siqi Xu: The First Affiliated Hospital with Nanjing Medical University
Yuanyuan Ma: Nanjing University
Shugeng Zhu: Nanjing University
Zhengyi Mao: Nanjing University
Weiwei Chen: Nanjing University
Zizhong Hu: The First Affiliated Hospital with Nanjing Medical University
Rongrong Pan: Nanjing University
Yurui Xu: Nanjing University
Yifeng Xiong: Nanjing University
Ye Chen: Nanjing University
Yanqing Lu: Nanjing University
Xinghai Ning: Nanjing University
Dechen Jiang: Nanjing University
Songtao Yuan: The First Affiliated Hospital with Nanjing Medical University
Fei Xu: Nanjing University

Nature Communications, 2024, vol. 15, issue 1, 1-13

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

Date: 2024
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DOI: 10.1038/s41467-024-47851-y

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