Performance of Deep Learning Models in Forecasting Gait Trajectories of Children with Neurological Disorders

Performance of Deep Learning Models in Forecasting Gait Trajectories of Children with Neurological Disorders

Forecasted gait trajectories of children could be used as feedforward input to control lower limb robotic devices, such as exoskeletons and actuated orthotic devices (e.g., Powered Ankle Foot Orthosis—PAFO). Several studies have forecasted healthy gait trajectories, but, to the best of our knowledge...

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Bibliographic Details
Main Authors: Rania Kolaghassi, Mohamad Kenan Al-Hares, Gianluca Marcelli, Konstantinos Sirlantzis
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
deep learning
forecasting
prediction
gait
children
kinematics
Online Access:https://www.mdpi.com/1424-8220/22/8/2969

Internet

https://www.mdpi.com/1424-8220/22/8/2969

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