Musculoskeletal Inverse Kinematics Tool for Inertial Motion Capture Data Based on the Adaptive Unscented Kalman Smoother: An Implementation for OpenSim

Purpose Conventional tools for human kinematics estimation presume that observations are subject to uncorrelated, zero-mean Gaussian noise, and they provide no estimate for the uncertainty of their solutions. This paper presents AUKSMIKT—a tool for whole-body kinematics estimation in the Bayesian fr...

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Vydané v:	Annals of biomedical engineering Ročník 53; číslo 11; s. 2966 - 2982
Hlavní autori:	Kortelainen, Matti J., Vartiainen, Paavo, Beattie, Alexander, Lavikainen, Jere, Karjalainen, Pasi A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.11.2025 Springer Nature B.V
Predmet:	Adult Algorithms Angular position Angular velocity Application programming interface Bayes Theorem Bayesian analysis Biochemistry Biological and Medical Physics Biomechanical Phenomena Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Body kinematics Classical Mechanics Errors Estimates Female Humans Inverse kinematics Kalman filters Kinematics Male Models, Biological Motion Capture Open source software Original Article Random noise Software Time series Walking - physiology Inertial sensors Motion estimation Kalman filters Open source software
ISSN:	0090-6964, 1573-9686, 1573-9686
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