Literature DB >> 11319893

Multiple walking speed-frequency relations are predicted by constrained optimization.

J E Bertram1, A Ruina.   

Abstract

A person constrained to walk at a given speed v on a treadmill, chooses a particular step frequency f and step length d=v/f. Testing over a range of speeds generates a speed-frequency (v-f) relationship. This relationship is commonly posited as a basic feature of human gait. It is often further posited that this curve follows from minimum energy cost strategy. We observed that individuals walking under different constraint circumstances--walking to a range of fixed metronome frequencies (fixed f) or over a range of spaced markers (fixed d)--produce speed-frequency relations distinct from the constrained v relation. We show here that three distinct speed-frequency curves, similar to those observed, are predicted by the assumption that a walking person optimizes an underlying objective function F (v, f) that has a minimum at the preferred gait. Further, the metabolic cost of transport is a reasonable approximate candidate for the function F. Copyright 2001 Academic Press.

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Mesh:

Year:  2001        PMID: 11319893     DOI: 10.1006/jtbi.2001.2279

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


  65 in total

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Authors:  Jeremy D Wong; Shawn M O'Connor; Jessica C Selinger; J Maxwell Donelan
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2.  Why not walk faster?

Authors:  James Richard Usherwood
Journal:  Biol Lett       Date:  2005-09-22       Impact factor: 3.703

3.  A direct comparison of local dynamic stability during unperturbed standing and walking.

Authors:  Hyun Gu Kang; Jonathan B Dingwell
Journal:  Exp Brain Res       Date:  2006-01-24       Impact factor: 1.972

4.  Walking on a moving surface: energy-optimal walking motions on a shaky bridge and a shaking treadmill can reduce energy costs below normal.

Authors:  Varun Joshi; Manoj Srinivasan
Journal:  Proc Math Phys Eng Sci       Date:  2015-02-08       Impact factor: 2.704

5.  Relative contribution of walking velocity and stepping frequency to the neural control of locomotion.

Authors:  Yasuhiro Osaki; Mikhail Kunin; Bernard Cohen; Theodore Raphan
Journal:  Exp Brain Res       Date:  2007-10-19       Impact factor: 1.972

6.  Comparing the efficacy of metronome beeps and stepping stones to adjust gait: steps to follow!

Authors:  Paulina J M Bank; Melvyn Roerdink; C E Peper
Journal:  Exp Brain Res       Date:  2011-01-08       Impact factor: 1.972

7.  Locomotor constraints favour the evolution of the human pygmy phenotype in tropical rainforests.

Authors:  Vivek V Venkataraman; Andrew K Yegian; Ian J Wallace; Nicholas B Holowka; Ivan Tacey; Michael Gurven; Thomas S Kraft
Journal:  Proc Biol Sci       Date:  2018-11-07       Impact factor: 5.349

8.  The metabolic cost of changing walking speeds is significant, implies lower optimal speeds for shorter distances, and increases daily energy estimates.

Authors:  Nidhi Seethapathi; Manoj Srinivasan
Journal:  Biol Lett       Date:  2015-09       Impact factor: 3.703

9.  How automatic speed control based on distance affects user behaviours in telepresence robot navigation within dense conference-like environments.

Authors:  Anil Ufuk Batmaz; Jens Maiero; Ernst Kruijff; Bernhard E Riecke; Carman Neustaedter; Wolfgang Stuerzlinger
Journal:  PLoS One       Date:  2020-11-19       Impact factor: 3.240

10.  Two explanations for the compliant running paradox: reduced work of bouncing viscera and increased stability in uneven terrain.

Authors:  Monica A Daley; James R Usherwood
Journal:  Biol Lett       Date:  2010-03-24       Impact factor: 3.703

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