Prediction of gait trajectories based on the Long Short Term Memory neural networks.

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Prediction of gait trajectories based on the Long Short Term Memory neural networks.

The forecasting of lower limb trajectories can improve the operation of assistive devices and minimise the risk of tripping and balance loss. The aim of this work was to examine four Long Short Term Memory (LSTM) neural network architectures (Vanilla, Stacked, Bidirectional and Autoencoders) in pred...

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Bibliographic Details
Main Authors:	Abdelrahman Zaroug, Alessandro Garofolini, Daniel T H Lai, Kurt Mudie, Rezaul Begg
Format:	article
Language:	EN
Published:	Public Library of Science (PLoS) 2021
Subjects:	Medicine R Science Q
Online Access:	https://doaj.org/article/a5de0cf3941c41b585df56e04a3f2f87
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