Using Deep Learning Models to Predict Prosthetic Ankle Torque

Inverse dynamics from motion capture is the most common technique for acquiring biomechanical kinetic data. However, this method is time-intensive, limited to a gait laboratory setting, and requires a large array of reflective markers to be attached to the body. A practical alternative must be devel...

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Detalles Bibliográficos
Autores principales: Prasanna, Christopher, Realmuto, Jonathan, Anderson, Anthony, Rombokas, Eric, Klute, Glenn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535406/
https://www.ncbi.nlm.nih.gov/pubmed/37765769
http://dx.doi.org/10.3390/s23187712

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535406/
https://www.ncbi.nlm.nih.gov/pubmed/37765769
http://dx.doi.org/10.3390/s23187712

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