Literature DB >> 15572057

Spring-mass running: simple approximate solution and application to gait stability.

Hartmut Geyer1, Andre Seyfarth, Reinhard Blickhan.   

Abstract

The planar spring-mass model is frequently used to describe bouncing gaits (running, hopping, trotting, galloping) in animal and human locomotion and robotics. Although this model represents a rather simple mechanical system, an analytical solution predicting the center of mass trajectory during stance remains open. We derive an approximate solution in elementary functions assuming a small angular sweep and a small spring compression during stance. The predictive power and quality of this solution is investigated for model parameters relevant to human locomotion. The analysis shows that (i), for spring compressions of up to 20% (angle of attack > or = 60 degree, angular sweep < or = 60 degree) the approximate solution describes the stance dynamics of the center of mass within a 1% tolerance of spring compression and 0.6 degree tolerance of angular motion compared to numerical calculations, and (ii), despite its relative simplicity, the approximate solution accurately predicts stable locomotion well extending into the physiologically reasonable parameter domain. (iii) Furthermore, in a particular case, an explicit parametric dependency required for gait stability can be revealed extending an earlier, empirically found relationship. It is suggested that this approximation of the planar spring-mass dynamics may serve as an analytical tool for application in robotics and further research on legged locomotion.

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Year:  2005        PMID: 15572057     DOI: 10.1016/j.jtbi.2004.08.015

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  18 in total

1.  Lower limb mechanical properties: significant references omitted.

Authors:  Jean-Benoit Morin; Olivier Girard; Jean Slawinski; Giuseppe Rabita; Georges Dalleau; Matt Brughelli
Journal:  Sports Med       Date:  2013-02       Impact factor: 11.136

2.  Voluntary changes in step width and step length during human walking affect dynamic margins of stability.

Authors:  Patricia M McAndrew Young; Jonathan B Dingwell
Journal:  Gait Posture       Date:  2012-04-01       Impact factor: 2.840

3.  Running over rough terrain reveals limb control for intrinsic stability.

Authors:  Monica A Daley; Andrew A Biewener
Journal:  Proc Natl Acad Sci U S A       Date:  2006-10-10       Impact factor: 11.205

4.  Gait re-training to alleviate the symptoms of anterior exertional lower leg pain: a case series.

Authors:  David T Breen; John Foster; Eanna Falvey; Andrew Franklyn-Miller
Journal:  Int J Sports Phys Ther       Date:  2015-02

5.  Dynamic margins of stability during human walking in destabilizing environments.

Authors:  Patricia M McAndrew Young; Jason M Wilken; Jonathan B Dingwell
Journal:  J Biomech       Date:  2012-02-09       Impact factor: 2.712

6.  A simple mass-spring model with roller feet can induce the ground reactions observed in human walking.

Authors:  Ben R Whittington; Darryl G Thelen
Journal:  J Biomech Eng       Date:  2009-01       Impact factor: 2.097

Review 7.  Human and avian running on uneven ground: a model-based comparison.

Authors:  R Müller; A V Birn-Jeffery; Y Blum
Journal:  J R Soc Interface       Date:  2016-09       Impact factor: 4.118

8.  Don't break a leg: running birds from quail to ostrich prioritise leg safety and economy on uneven terrain.

Authors:  Aleksandra V Birn-Jeffery; Christian M Hubicki; Yvonne Blum; Daniel Renjewski; Jonathan W Hurst; Monica A Daley
Journal:  J Exp Biol       Date:  2014-11-01       Impact factor: 3.312

9.  From spontaneous motor activity to coordinated behaviour: a developmental model.

Authors:  Hugo Gravato Marques; Arjun Bharadwaj; Fumiya Iida
Journal:  PLoS Comput Biol       Date:  2014-07-24       Impact factor: 4.475

10.  Dynamic Imbalance Analysis and Stability Control of Galloping Gait for a Passive Quadruped Robot.

Authors:  Chunlei Wang; Ting Zhang; Xiaohui Wei; Yongjun Long; Shigang Wang
Journal:  Appl Bionics Biomech       Date:  2015-06-21       Impact factor: 1.781

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