AI-Enabled Piezoelectric Wearable for Joint Torque Monitoring

AI-Enabled Piezoelectric Wearable for Joint Torque Monitoring

Highlights Artificial intelligence-enabled wearable device with boron nitride nanotubes (BNNTs)-based piezoelectric film for accurate joint torque sensing. Inverse-designed structure optimizes biomechanical compatibility for enhanced knee motion tracking. High-sensitivity BNNTs/polydimethylsiloxane...

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Bibliographic Details
Main Authors: Jinke Chang, Jinchen Li, Jiahao Ye, Bowen Zhang, Jianan Chen, Yunjia Xia, Jingyu Lei, Tom Carlson, Rui Loureiro, Alexander M. Korsunsky, Jin-Chong Tan, Hubin Zhao
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:Nano-Micro Letters
Subjects:
Artificial intelligence wearables
Joint torque monitoring
Boron nitride nanotubes
Piezoelectric devices
Inverse design
Online Access:https://doi.org/10.1007/s40820-025-01753-w
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Summary:Highlights Artificial intelligence-enabled wearable device with boron nitride nanotubes (BNNTs)-based piezoelectric film for accurate joint torque sensing. Inverse-designed structure optimizes biomechanical compatibility for enhanced knee motion tracking. High-sensitivity BNNTs/polydimethylsiloxane composite enables precise and dynamic knee motion signal detection. Lightweight neural network processes complex signals for accurate torque, angle, and load estimation. Real-time monitoring system provides instant knee torque assessment for daily use.
ISSN:2311-6706
2150-5551

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