Literature DB >> 8953764

Biomechanical analysis of the development of human bipedal walking by a neuro-musculo-skeletal model.

N Yamazaki1, K Hase, N Ogihara, N Hayamizu.   

Abstract

A new computer simulation method, using a neuro-musculo-skeletal model, is used to clarify the process of acquisition of erect bipedal walking during human ontogeny. Walking was autonomously generated as a dynamic interaction called 'mutual entrainment' between the neural oscillation and the pendular movement of differently proportioned bodies. Walking patterns of humans with 8 different sets of alternative body proportions, varying from those of 8-month-old children to those of 22 years old adults, were simulated. The development of bipedal walking is characterized as the change from a forced oscillation controlled by the nervous system to the natural oscillation of pendular motion, determined by body proportions. Body proportions are the fundamental factor in the development of bipedal walking.

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Year:  1996        PMID: 8953764     DOI: 10.1159/000157199

Source DB:  PubMed          Journal:  Folia Primatol (Basel)        ISSN: 0015-5713            Impact factor:   1.246


  4 in total

1.  Estimating dinosaur maximum running speeds using evolutionary robotics.

Authors:  William Irvin Sellers; Phillip Lars Manning
Journal:  Proc Biol Sci       Date:  2007-11-07       Impact factor: 5.349

Review 2.  Evaluating alternative gait strategies using evolutionary robotics.

Authors:  William I Sellers; Louise A Dennis; Wang W -J; Robin H Crompton
Journal:  J Anat       Date:  2004-05       Impact factor: 2.610

3.  Forward dynamic simulation of Japanese macaque bipedal locomotion demonstrates better energetic economy in a virtualised plantigrade posture.

Authors:  Hideki Oku; Naohiko Ide; Naomichi Ogihara
Journal:  Commun Biol       Date:  2021-03-08

Review 4.  March of the titans: the locomotor capabilities of sauropod dinosaurs.

Authors:  William Irvin Sellers; Lee Margetts; Rodolfo Aníbal Coria; Phillip Lars Manning
Journal:  PLoS One       Date:  2013-10-30       Impact factor: 3.240

  4 in total

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