Predicting Coordination Variability of Selected Lower Extremity Couplings during a Cutting Movement: An Investigation of Deep Neural Networks with the LSTM Structure

Predicting Coordination Variability of Selected Lower Extremity Couplings during a Cutting Movement: An Investigation of Deep Neural Networks with the LSTM Structure

There are still few portable methods for monitoring lower limb joint coordination during the cutting movements (CM). This study aims to obtain the relevant motion biomechanical parameters of the lower limb joints at 90°, 135°, and 180° CM by collecting IMU data of the human lower limbs, and utilizin...

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Bibliographic Details
Main Authors: Enze Shao, Qichang Mei, Jingyi Ye, Ukadike C. Ugbolue, Chaoyi Chen, Yaodong Gu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Bioengineering
Subjects:
cutting movement
vector coding technique
inertial sensor
deep neural network
Online Access:https://www.mdpi.com/2306-5354/9/9/411

Internet

https://www.mdpi.com/2306-5354/9/9/411

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