Lower Limb Kinematics Trajectory Prediction Using Long Short-Term Memory Neural Networks

Lower Limb Kinematics Trajectory Prediction Using Long Short-Term Memory Neural Networks

This study determined whether the kinematics of lower limb trajectories during walking could be extrapolated using long short-term memory (LSTM) neural networks. It was hypothesised that LSTM auto encoders could reliably forecast multiple time-step trajectories of the lower limb kinematics, specific...

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Bibliographic Details
Main Authors: Abdelrahman Zaroug, Daniel T. H. Lai, Kurt Mudie, Rezaul Begg
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
LSTM
neural networks
machine learning
forecasting
gait
walking
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2020.00362/full

Internet

https://www.frontiersin.org/article/10.3389/fbioe.2020.00362/full

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