AI-Enabled Piezoelectric Wearable for Joint Torque Monitoring

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

doi:10.1007/s40820-025-01753-w

Nano-Micro Letters (May 2025)

AI-Enabled Piezoelectric Wearable for Joint Torque Monitoring

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

Affiliations

Jinke Chang: Multifunctional Materials and Composites (MMC) Laboratory, Department of Engineering Science, University of Oxford
Jinchen Li: HUB of Intelligent Neuro-Engineering (HUBIN), Aspire CREATe, DSIS, University College London
Jiahao Ye: Multifunctional Materials and Composites (MMC) Laboratory, Department of Engineering Science, University of Oxford
Bowen Zhang: HUB of Intelligent Neuro-Engineering (HUBIN), Aspire CREATe, DSIS, University College London
Jianan Chen: HUB of Intelligent Neuro-Engineering (HUBIN), Aspire CREATe, DSIS, University College London
Yunjia Xia: HUB of Intelligent Neuro-Engineering (HUBIN), Aspire CREATe, DSIS, University College London
Jingyu Lei: HUB of Intelligent Neuro-Engineering (HUBIN), Aspire CREATe, DSIS, University College London
Tom Carlson: HUB of Intelligent Neuro-Engineering (HUBIN), Aspire CREATe, DSIS, University College London
Rui Loureiro: HUB of Intelligent Neuro-Engineering (HUBIN), Aspire CREATe, DSIS, University College London
Alexander M. Korsunsky: Trinity College, University of Oxford
Jin-Chong Tan: Multifunctional Materials and Composites (MMC) Laboratory, Department of Engineering Science, University of Oxford
Hubin Zhao: HUB of Intelligent Neuro-Engineering (HUBIN), Aspire CREATe, DSIS, University College London

DOI: https://doi.org/10.1007/s40820-025-01753-w
Journal volume & issue: Vol. 17, no. 1
pp. 1 – 20

Abstract

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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.

Published in Nano-Micro Letters

ISSN: 2311-6706 (Print); 2150-5551 (Online)
Publisher: SpringerOpen
Country of publisher: Germany
LCC subjects: Technology
Website: http://www.springer.com/40820

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