Fatigue measurement via a wearable on-eyelid magnetoelastic sensor

IF 40.9 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

Nature Electronics Pub Date : 2025-08-20 DOI:10.1038/s41928-025-01419-w

引用次数: 0

Abstract

An ultrathin, ultrasoft and ultrastretchable magnetoelastic on-eyelid sensor is developed to track eye movements. Decoding the eye blinking signals collected from this sensor, a one-dimensional convolutional neural network combined with an unsupervised clustering model classifies the level of cognitive fatigue with an accuracy of 96.4%.

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基于可穿戴式眼睑磁弹性传感器的疲劳测量

研制了一种超薄、超软、超可伸缩的磁弹性眼睑传感器，用于跟踪眼球运动。通过对该传感器采集到的眨眼信号进行解码，一维卷积神经网络结合无监督聚类模型对认知疲劳程度进行分类，准确率达到96.4%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature Electronics Engineering-Electrical and Electronic Engineering

CiteScore

47.50

自引率

2.30%

发文量

159

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