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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Detalles Bibliográficos
Autores principales: Kolaghassi, Rania, Al-Hares, Mohamad Kenan, Marcelli, Gianluca, Sirlantzis, Konstantinos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9033153/
https://www.ncbi.nlm.nih.gov/pubmed/35458954
http://dx.doi.org/10.3390/s22082969

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9033153/
https://www.ncbi.nlm.nih.gov/pubmed/35458954
http://dx.doi.org/10.3390/s22082969

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