Literature DB >> 12203818

Energetics and optimization of human walking and running: the 2000 Raymond Pearl memorial lecture.

R McNeill Alexander1.   

Abstract

Humans seem to adjust their walking and running gaits to minimise the metabolic energy cost of locomotion. The walking speed that we tend to prefer is the one that minimises energy cost per unit distance, though faster speeds might seem preferable when time is valuable. At speeds up to 2 m/s, walking requires less energy than running, and we walk. At higher speeds, running is more economical, and we run. At each speed we use the stride length that minimises energy costs. A computer model that predicts metabolic rates for all conceivable gaits of a simple biped helps to understand these and other features of human gait. The energy cost of walking is increased on uphill slopes and also on soft ground. Consequently, zigzag paths should be preferred to straight ones, up hills of more than a critical gradient. Also, it may be more economical to divert a path around a hill than to travel along a straight line. Simple theories of optimum diversions are presented, both for hilly ground and for ground interrupted by marshy patches, on which costs of walking are increased. Energy costs are also increased by heavy loads, though it seems possible in some circumstances to carry moderate loads without measurable extra cost. Copyright 2002 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2002        PMID: 12203818     DOI: 10.1002/ajhb.10067

Source DB:  PubMed          Journal:  Am J Hum Biol        ISSN: 1042-0533            Impact factor:   1.937


  35 in total

1.  Fuel oxidation in relation to walking speed: influence of gradient and external load.

Authors:  Pauline L Entin; Colleen Gest; Susan Trancik; J Richard Coast
Journal:  Eur J Appl Physiol       Date:  2010-06-10       Impact factor: 3.078

2.  Reduction of metabolic cost during motor learning of arm reaching dynamics.

Authors:  Helen J Huang; Rodger Kram; Alaa A Ahmed
Journal:  J Neurosci       Date:  2012-02-08       Impact factor: 6.167

3.  Age-associated differences in the gait pattern changes of older adults during fast-speed and fatigue conditions: results from the Baltimore longitudinal study of ageing.

Authors:  Seung-uk Ko; Jeffrey M Hausdorff; Luigi Ferrucci
Journal:  Age Ageing       Date:  2010-09-10       Impact factor: 10.668

4.  Toward Balance Recovery With Leg Prostheses Using Neuromuscular Model Control.

Authors:  Nitish Thatte; Hartmut Geyer
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-25       Impact factor: 4.538

5.  Flat and bouncy walking.

Authors:  R McNeill Alexander
Journal:  J Physiol       Date:  2007-05-17       Impact factor: 5.182

6.  Proprioceptive feedback contributes to the adaptation toward an economical gait pattern.

Authors:  Jill E Hubbuch; Blake W Bennett; Jesse C Dean
Journal:  J Biomech       Date:  2015-04-23       Impact factor: 2.712

7.  Determinants guiding alternate foot placement selection and the behavioral responses are similar when avoiding a real or a virtual obstacle.

Authors:  Renato Moraes; Aftab E Patla
Journal:  Exp Brain Res       Date:  2005-12-21       Impact factor: 1.972

8.  Interaction between step-to-step variability and metabolic cost of transport during human walking.

Authors:  Chase G Rock; Vivien Marmelat; Jennifer M Yentes; Ka-Chun Siu; Kota Z Takahashi
Journal:  J Exp Biol       Date:  2018-11-12       Impact factor: 3.312

Review 9.  Towards physics of neural processes and behavior.

Authors:  Mark L Latash
Journal:  Neurosci Biobehav Rev       Date:  2016-08-04       Impact factor: 8.989

Review 10.  Proprioceptive feedback and preferred patterns of human movement.

Authors:  Jesse C Dean
Journal:  Exerc Sport Sci Rev       Date:  2013-01       Impact factor: 6.230

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.