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An ultralight, flexible, and biocompatible all-fiber motion sensor for artificial intelligence wearable electronics

Engineering and Technology

An ultralight, flexible, and biocompatible all-fiber motion sensor for artificial intelligence wearable electronics

S. Lin, S. Hu, et al.

Discover an innovative all-fiber motion sensor that marries flexibility, biocompatibility, and advanced motion recognition. Created by an expert team, this sensor not only excels in wearable technology but also leverages machine learning to identify throat conditions with impressive accuracy. The future of intelligent medicine is here.

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~3 min • Beginner • English
Abstract
New-generation human body motion sensors for wearable electronics and intelligent medicine are required to comply with stringent requirements in terms of ultralight weight, flexibility, stability, biocompatibility, and extreme precision. However, conventional sensors are hard to fulfill all these criteria due to their rigid structure, high-density sensing materials used as the constituents, as well as hermetical and compact assembly strategy. Here, we report an ultralight sensing material based on radial anisotropic porous silver fiber (RAPSF), which has been manufactured by phase separation and temperature-controlled grain growth strategy on a modified blow-spinning system. The resistance of RAPSF could be dynamically adjusted depending on the deflected shape. Furthermore, an all-fiber motion sensor (AFMS) with an ultra-low density of 68.70 mg cm⁻³ and an overall weight of 7.95 mg was fabricated via layer-by-layer assembly. The sensor exhibited outstanding flexibility, breathability, biocompatibility, and remarkable body motion recognition ability. Moreover, the AFMS was shown to have great potential as an artificial intelligence throat sensor for throat state identification at the accuracy above 85%, allowing one to spot the early onset of the viral throat illness.
Publisher
npj Flexible Electronics
Published On
Apr 28, 2022
Authors
Sen Lin, Shuang Hu, Wei Song, Miaoqing Gu, Junchen Liu, Jianan Song, Zhenglian Liu, Ziwei Li, Kun Huang, Yufeng Wu, Ming Lei, Hui Wu
Tags
motion sensor
biocompatible
wearable electronics
machine learning
throat conditions
flexibility
sensor technology
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