Literature DB >> 19566272

Optimal speeds for walking and running, and walking on a moving walkway.

Manoj Srinivasan1.   

Abstract

Many aspects of steady human locomotion are thought to be constrained by a tendency to minimize the expenditure of metabolic cost. This paper has three parts related to the theme of energetic optimality: (1) a brief review of energetic optimality in legged locomotion, (2) an examination of the notion of optimal locomotion speed, and (3) an analysis of walking on moving walkways, such as those found in some airports. First, I describe two possible connotations of the term "optimal locomotion speed:" that which minimizes the total metabolic cost per unit distance and that which minimizes the net cost per unit distance (total minus resting cost). Minimizing the total cost per distance gives the maximum range speed and is a much better predictor of the speeds at which people and horses prefer to walk naturally. Minimizing the net cost per distance is equivalent to minimizing the total daily energy intake given an idealized modern lifestyle that requires one to walk a given distance every day--but it is not a good predictor of animals' walking speeds. Next, I critique the notion that there is no energy-optimal speed for running, making use of some recent experiments and a review of past literature. Finally, I consider the problem of predicting the speeds at which people walk on moving walkways--such as those found in some airports. I present two substantially different theories to make predictions. The first theory, minimizing total energy per distance, predicts that for a range of low walkway speeds, the optimal absolute speed of travel will be greater--but the speed relative to the walkway smaller--than the optimal walking speed on stationary ground. At higher walkway speeds, this theory predicts that the person will stand still. The second theory is based on the assumption that the human optimally reconciles the sensory conflict between the forward speed that the eye sees and the walking speed that the legs feel and tries to equate the best estimate of the forward speed to the naturally preferred speed. This sensory conflict theory also predicts that people would walk slower than usual relative to the walkway yet move faster than usual relative to the ground. These predictions agree qualitatively with available experimental observations, but there are quantitative differences.

Entities:  

Mesh:

Year:  2009        PMID: 19566272     DOI: 10.1063/1.3141428

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  17 in total

1.  Evaluation of the minimum energy hypothesis and other potential optimality criteria for human running.

Authors:  Ross H Miller; Brian R Umberger; Joseph Hamill; Graham E Caldwell
Journal:  Proc Biol Sci       Date:  2011-11-09       Impact factor: 5.349

2.  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

3.  Sideways walking: preferred is slow, slow is optimal, and optimal is expensive.

Authors:  Matthew L Handford; Manoj Srinivasan
Journal:  Biol Lett       Date:  2014-01-15       Impact factor: 3.703

4.  Lower safety factor for old adults during walking at preferred velocity.

Authors:  Lida Mademli; Adamantios Arampatzis
Journal:  Age (Dordr)       Date:  2014-03-09

5.  Fifteen observations on the structure of energy-minimizing gaits in many simple biped models.

Authors:  Manoj Srinivasan
Journal:  J R Soc Interface       Date:  2010-06-11       Impact factor: 4.118

6.  Running in the wild: Energetics explain ecological running speeds.

Authors:  Jessica C Selinger; Jennifer L Hicks; Rachel W Jackson; Cara M Wall-Scheffler; Derek Chang; Scott L Delp
Journal:  Curr Biol       Date:  2022-04-28       Impact factor: 10.900

7.  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

8.  Walking, running, and resting under time, distance, and average speed constraints: optimality of walk-run-rest mixtures.

Authors:  Leroy L Long; Manoj Srinivasan
Journal:  J R Soc Interface       Date:  2013-01-30       Impact factor: 4.118

9.  Is there any Proffitt in stair climbing? A headcount of studies testing for demographic differences in choice of stairs.

Authors:  Frank F Eves
Journal:  Psychon Bull Rev       Date:  2014-02

10.  Adaptive Remodeling of Achilles Tendon: A Multi-scale Computational Model.

Authors:  Stuart R Young; Bruce Gardiner; Arash Mehdizadeh; Jonas Rubenson; Brian Umberger; David W Smith
Journal:  PLoS Comput Biol       Date:  2016-09-29       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.