AI-Enabled Piezoelectric Wearable for Joint Torque Monitoring

被引：0
|
作者：
Jinke Chang [1 ]
Jinchen Li [2 ]
Jiahao Ye [2 ]
Bowen Zhang [1 ]
Jianan Chen [2 ]
Yunjia Xia [3 ]
Jingyu Lei [2 ]
Tom Carlson [2 ]
Rui Loureiro [2 ]
Alexander M. Korsunsky [2 ]
Jin-Chong Tan [2 ]
Hubin Zhao [4 ]
机构：
[1] University of Oxford,Multifunctional Materials and Composites (MMC) Laboratory, Department of Engineering Science
[2] University College London,HUB of Intelligent Neuro
[3] Xi’an Jiaotong University,Engineering (HUBIN), Aspire CREATe, DSIS
[4] University of Oxford,State Key Laboratory for Manufacturing System Engineering, School of Mechanical Engineering
来源：
Nano-Micro Letters | 2025年 / 17卷 / 1期
关键词：
Artificial intelligence wearables; Joint torque monitoring; Boron nitride nanotubes; Piezoelectric devices; Inverse design;
D O I：
10.1007/s40820-025-01753-w
中图分类号：
学科分类号：
摘要：
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.
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