Gait Trajectory Prediction on an Embedded Microcontroller Using Deep Learning

Achieving a normal gait trajectory for an amputee’s active prosthesis is challenging due to its kinematic complexity. Accordingly, lower limb gait trajectory kinematics and gait phase segmentation are essential parameters in controlling an active prosthesis. Recently, the most practiced algorithm in...

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Detalles Bibliográficos
Autores principales: Karakish, Mohamed, Fouz, Moustafa A., ELsawaf, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654157/
https://www.ncbi.nlm.nih.gov/pubmed/36366139
http://dx.doi.org/10.3390/s22218441

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654157/
https://www.ncbi.nlm.nih.gov/pubmed/36366139
http://dx.doi.org/10.3390/s22218441

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