Transfer learning-enhanced CNN-GRU-attention model for knee joint torque prediction

Transfer learning-enhanced CNN-GRU-attention model for knee joint torque prediction

IntroductionAccurate prediction of joint torque is critical for preventing injury by providing precise insights into the forces acting on joints during activities. Traditional approaches, including inverse dynamics, EMG-driven neuromusculoskeletal (NMS) models, and standard machine learning methods,...

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Bibliographic Details
Main Authors: Hao Xie, Yingpeng Wang, Tingting Liu, Songhua Yan, Jizhou Zeng, Kuan Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
knee joint torque
convolutional neural network
transfer learning
neuromusculoskeletal model
muscle force
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2025.1530950/full
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https://www.frontiersin.org/articles/10.3389/fbioe.2025.1530950/full

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