Literature DB >> 23199897

Spring-like gait mechanics observed during walking in both young and older adults.

Hyunhwa Hong1, Seyoung Kim, Cheolwoong Kim, Soonhyuck Lee, Sukyung Park.   

Abstract

A spring loaded inverted pendulum model successfully demonstrated the oscillatory behavior of the center of mass (CoM) and corresponding ground reaction forces (GRFs) of young healthy subjects. This study questioned whether spring-like leg walking dynamics are consistently observed in the walking of older adults that exhibit different gait characteristics, such as slower gait speed, from the young. Eight young and eight older adult subjects participated in overground walking experiments performed at four different gait speeds, ranging from their self-selected speed to a maximum walking speed. To calculate the effective leg stiffness, the damped compliant leg model with a curved foot was used. The model parameters of leg stiffness and damping constant were optimized to achieve the best fit between model and human GRFs data. We observed that the GRFs data from both age groups were reasonably well fitted by spring-like leg dynamics throughout the broad range of gait speeds. The leg stiffness and damping constant consistently increased as a function of the walking speed in both age groups, but slightly greater variations of the model parameters were observed for the older adults' trials. The results imply that human walking dynamics and the variation with respect to age can be well captured by spring-like leg dynamics.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23199897     DOI: 10.1016/j.jbiomech.2012.10.003

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  4 in total

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Authors:  Michael McGrath; David Howard; Richard Baker
Journal:  Comput Math Methods Med       Date:  2015-06-14       Impact factor: 2.238

2.  Estimation of Three-Dimensional Lower Limb Kinetics Data during Walking Using Machine Learning from a Single IMU Attached to the Sacrum.

Authors:  Myunghyun Lee; Sukyung Park
Journal:  Sensors (Basel)       Date:  2020-11-04       Impact factor: 3.576

3.  Biped Walking Based on Stiffness Optimization and Hierarchical Quadratic Programming.

Authors:  Xuanyang Shi; Junyao Gao; Yizhou Lu; Dingkui Tian; Yi Liu
Journal:  Sensors (Basel)       Date:  2021-03-02       Impact factor: 3.576

4.  Comparing system identification techniques for identifying human-like walking controllers.

Authors:  Dave Schmitthenner; Anne E Martin
Journal:  R Soc Open Sci       Date:  2021-12-22       Impact factor: 2.963

  4 in total

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