Evaluation of Error-State Kalman Filter Method for Estimating Human Lower-Limb Kinematics during Various Walking Gaits

Inertial measurement units (IMUs) offer an attractive way to study human lower-limb kinematics without traditional laboratory constraints. We present an error-state Kalman filter method to estimate 3D joint angles, joint angle ranges of motion, stride length, and step width using data from an array...

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Detalles Bibliográficos
Autores principales: Potter, Michael V., Cain, Stephen M., Ojeda, Lauro V., Gurchiek, Reed D., McGinnis, Ryan S., Perkins, Noel C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654083/
https://www.ncbi.nlm.nih.gov/pubmed/36366096
http://dx.doi.org/10.3390/s22218398

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654083/
https://www.ncbi.nlm.nih.gov/pubmed/36366096
http://dx.doi.org/10.3390/s22218398

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