DocumentCode :
3215055
Title :
Validation of a passive dynamic walker model for human gait analysis
Author :
Handzic, Ismet ; Reed, Kyle B.
Author_Institution :
Dept. of Mech. Eng., Univ. of South Florida, Tampa, FL, USA
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
6945
Lastpage :
6948
Abstract :
While the dynamics and mathematics of passive dynamic walking (PDW) models have been extensively researched, it has not been until recently that they have been used for practical applications in rehabilitation and gait analysis. In this study, we evaluate the validity of using a two dimensional PDW for human gait analysis. Here, a PDW model is compared to recorded kinematic and kinetic walking data under normal conditions. We also study asymmetric gait by imposing a shank mass asymmetry and comparing it to a PDW model under the same asymmetric conditions. Kinematic and kinetic data for normal gait was taken from one subject using a motion capture system and a force plate, respectively. Gait under the asymmetric shank mass conditions was recorded by measuring the drifting radius of curvature from five participants walking blindfolded with a mass attached to their shank. While the PDW model lacks ankles (dorsiflexion), joint damping, and joint stiffness, the kinematics, kinetics, and gait asymmetry were comparable. Kinetic comparisons show agreement in general ground reaction force magnitude and profile. Kinematic results yield a good match in temporal and spatial gait characteristics. Asymmetric analysis of gait demonstrated that the PDW model can accurately predict the direction of step asymmetry.
Keywords :
gait analysis; kinematics; 2D PDW models; force plate; human gait analysis; kinematic walking data; kinetic walking data; motion capture system; passive dynamic walker model; rehabilitation; shank mass asymmetry; step asymmetry; Foot; Hip; Joints; Kinematics; Kinetic theory; Knee; Legged locomotion;
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.2013.6611155
Filename :
6611155
Link To Document :
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