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A closed loop musculoskeletal model of postural coordination dynamics

Vincent Bonnet 1 Philippe Fraisse 2 Nacim Ramdani 1, 2 Julien Lagarde 3 Sofiane Ramdani 3 Benoit G. Bardy 4
1 DEMAR - Artificial movement and gait restoration
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
2 IDH - Interactive Digital Humans
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : A closed-loop model with actuator dynamics and sensory feedback has been developed to capture the complex postural behaviors observed in a human head tracking task. In motor-control literature, spindle feedback gains are scaled by the central nervous system to adapt muscle stiffness depending on the postural task. We propose to identify spindle reflex equivalent feedback gains for several target's frequency values. Comparison with experimental results on human shows the relevance of this modeling, since our musculoskeletal model is able to exhibit reasonably well the behavioral invariants observed in human postures.
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Vincent Bonnet, Philippe Fraisse, Nacim Ramdani, Julien Lagarde, Sofiane Ramdani, et al.. A closed loop musculoskeletal model of postural coordination dynamics. CDC/CCC'09: 48th IEEE Conference on Decision and Control, held jointly with the 28th Chinese Control Conference, Dec 2009, Shanghai, China. pp.6207-6212, ⟨10.1109/CDC.2009.5400945⟩. ⟨lirmm-00798599⟩

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