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Eye tracking and eye expression decoding based on transparent, flexible and ultra-persistent electrostatic interface

Engineering and Technology

Eye tracking and eye expression decoding based on transparent, flexible and ultra-persistent electrostatic interface

Y. Shi, P. Yang, et al.

Discover the revolutionary electrostatic sensing interface designed for active eye-tracking systems by Yuxiang Shi, Peng Yang, Rui Lei, Zhaoqi Liu, Xuanyi Dong, Xinglin Tao, Xiangcheng Chu, Zhong Lin Wang, and Xiangyu Chen. This innovative technology enables precise detection of eye movements with an impressive 5° angular resolution, opening doors for real-time human-computer interaction and consumer preference analysis.

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~3 min • Beginner • English
Abstract
Eye tracking provides valuable insight for analyzing visual attention and underlying thinking progress through the observation of eye movements. Here, a transparent, flexible and ultra-persistent electrostatic sensing interface is proposed for realizing active eye tracking (AET) system based on the electrostatic induction effect. Through a triple-layer structure combined with a dielectric bilayer and a rough-surface Ag nanowire (Ag NW) electrode layer, the inherent capacitance and interfacial trapping density of the electrostatic interface has been strongly enhanced, contributing to an unprecedented charge storage capability. The electrostatic charge density of the interface reached 1671.10 µC·m−2 with a charge-keeping rate of 96.91% after 1000 non-contact operation cycles, which can finally realize oculogyric detection with an angular resolution of 5°. Thus, the AET system enables real-time decoding eye movements for customer preference recording and eye-controlled human-computer interaction, supporting its limitless potentiality in commercial purpose, virtual reality, human computer interactions and medical monitoring.
Publisher
Nature Communications
Published On
Jun 07, 2023
Authors
Yuxiang Shi, Peng Yang, Rui Lei, Zhaoqi Liu, Xuanyi Dong, Xinglin Tao, Xiangcheng Chu, Zhong Lin Wang, Xiangyu Chen
Tags
electrostatic sensing
eye-tracking
real-time decoding
human-computer interaction
consumer preference
technology innovation
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