DocumentCode :
637011
Title :
Generalization of a muscle-reflex control model to 3D walking
Author :
Seungmoon Song ; Geyer, Hartmut
Author_Institution :
Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
7463
Lastpage :
7466
Abstract :
The neural controller that generates human locomotion can currently not be measured directly, and researchers often resort to forward dynamic simulations of the human neuromuscular system to propose and test different controller architectures. However, most of these models are restricted to locomotion in the sagittal plane, which limits the ability to study and compare proposed neural controls for 3D-related motions. Here we generalize a previously identified reflex control model for sagittal plane walking to 3D locomotion. The generalization includes additional degrees of freedom at the hips in the lateral plane, their actuation and control by hip abductor and adductor muscles, and 3D compliant ground contact dynamics. The resulting 3D model of human locomotion generates normal walking while producing human-like ground reaction forces and moments, indicating that the proposed neural controller based on muscle reflexes generalizes well to 3D locomotion.
Keywords :
gait analysis; medical computing; muscle; neurocontrollers; neurophysiology; physiological models; 3D compliant ground contact dynamics; 3D locomotion; 3D model; 3D walking; 3D-related motion; adductor muscle; controller architecture; degrees of freedom; forward dynamic simulation; hip abductor; human locomotion; human neuromuscular system; human-like ground moments; human-like ground reaction forces; lateral plane; muscle-reflex control model; neural controller; normal walking; sagittal plane locomotion; sagittal plane walking; Computational modeling; Hip; Joints; Legged locomotion; Muscles; Solid modeling; Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6611284
Filename :
6611284
Link To Document :
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