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基于透明、灵活和超持久静电界面的眼动追踪和眼表情解码。

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

机构信息

CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, China.

School of Nanoscience and Engineering, University of Chinese Academy of Sciences, 100049, Beijing, China.

出版信息

Nat Commun. 2023 Jun 7;14(1):3315. doi: 10.1038/s41467-023-39068-2.

DOI:10.1038/s41467-023-39068-2
PMID:37286541
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10247702/
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 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.

摘要

眼动追踪通过观察眼球运动,为分析视觉注意力和潜在思维过程提供了有价值的见解。在这里,提出了一种透明、灵活和超持久的静电感应接口,用于实现基于静电感应效应的主动眼动跟踪 (AET) 系统。通过结合介电双层和粗糙表面 Ag 纳米线 (Ag NW) 电极层的三层结构,静电接口的固有电容和界面俘获密度得到了极大增强,从而具有前所未有的电荷存储能力。该接口的静电电荷密度达到 1671.10 μC·m,在经过 1000 次非接触操作循环后保持率为 96.91%,最终可以实现 5°的眼球转动检测。因此,AET 系统能够实时解码眼球运动,用于记录客户偏好和眼控人机交互,在商业用途、虚拟现实、人机交互和医疗监测方面具有无限潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4ee/10247702/61ec47656850/41467_2023_39068_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4ee/10247702/82d08e0416d1/41467_2023_39068_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4ee/10247702/c658a79b2095/41467_2023_39068_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4ee/10247702/6750fc7e463e/41467_2023_39068_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4ee/10247702/09cc5c673f4d/41467_2023_39068_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4ee/10247702/61ec47656850/41467_2023_39068_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4ee/10247702/82d08e0416d1/41467_2023_39068_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4ee/10247702/c658a79b2095/41467_2023_39068_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4ee/10247702/6750fc7e463e/41467_2023_39068_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4ee/10247702/09cc5c673f4d/41467_2023_39068_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4ee/10247702/61ec47656850/41467_2023_39068_Fig5_HTML.jpg

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