Comparison of Several Muscle Modeling Alternatives for Computationally Intensive Algorithms in Human Motion Dynamics
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Comparison of Several Muscle Modeling Alternatives for Computationally Intensive Algorithms in Human Motion DynamicsData
2022-04-05Cita bibliográfica
Lamas, M., Mouzo, F., Michaud, F. et al. Comparison of several muscle modeling alternatives for computationally intensive algorithms in human motion dynamics. Multibody Syst Dyn 54, 415–442 (2022). https://doi.org/10.1007/s11044-022-09819-y
Resumo
[Abstract] Several approaches are currently employed to address the predictive simulation of human motion, having in common their high computational demand. Muscle modeling seems to be an essential ingredient to provide human likeness to the obtained movements, at least
for some activities, but it increases even more the computational load. This paper studies
the efficiency and accuracy yielded by several alternatives of muscle modeling in the
forward-dynamics analysis of captured motions, as a method that encompasses the computationally intensive character of predictive simulation algorithms with a known resulting motion which simplifies the comparisons. Four muscle models, the number of muscles, muscle torque generators, muscular synergies, and look-up tables for musculotendon lengths and moment arms are considered and analyzed, seeking to provide criteria on how to include the muscular component in human multibody models so that its effect on the resulting motion is captured while keeping a reasonable computational cost. Gait and vertical jump are considered as examples of slow- and fast-dynamics motions. Results suggest that: (i) the rigid-tendon model with activation dynamics offers a good balance between accuracy and efficiency, especially for short-tendon muscles; (ii) including muscles in the model leads to a decrease in efficiency which is highly dependent on the muscle model employed and the
number of muscles considered; (iii) muscle torque generators keep the efficiency of skeletal
models; (iv) muscular synergies offer almost no advantage for this problem; and (v) look-up
tables for configuration-dependent kinematic magnitudes have a non-negligible impact on
the efficiency, especially for simplified muscle models.
Palabras chave
Muscle modeling
Muscle torque generator
Synergies
Gait
Vertical jump
Biomechanics
Efficiency
Muscle torque generator
Synergies
Gait
Vertical jump
Biomechanics
Efficiency
Descrición
Financiado para publicación en acceso aberto: Universidade da Coruña/CISUG
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Dereitos
Creative Commons Attribution 4.0 International License
ISSN
1573-272X