Predicting Individualized Joint Kinematics Over Continuous Variations of Walking, Running, and Stair Climbing

Goal: Accounting for gait individuality is important to positive outcomes with wearable robots, but manually tuning multi-activity models is time-consuming and not viable in a clinic. Generalizations can possibly be made to predict gait individuality in unobserved conditions. Methods: Kinematic indi...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928215/
https://www.ncbi.nlm.nih.gov/pubmed/36819935
http://dx.doi.org/10.1109/OJEMB.2023.3234431

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928215/
https://www.ncbi.nlm.nih.gov/pubmed/36819935
http://dx.doi.org/10.1109/OJEMB.2023.3234431

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