气候变化领域集成服务门户(CCPortal): A unified energy-optimality criterion predicts human navigation paths and speeds

CCPortal

DOI	10.1073/pnas.2020327118
	A unified energy-optimality criterion predicts human navigation paths and speeds
	Brown G.L.; Seethapathi N.; Srinivasan M.
发表日期	2021
ISSN	0027-8424
卷号	118 期号:29
英文摘要	Navigating our physical environment requires changing directions and turning. Despite its ecological importance, we do not have a unified theoretical account of non-straight-line human movement. Here, we present a unified optimality criterion that predicts disparate non-straight-line walking phenomena, with straight-line walking as a special case. We first characterized the metabolic cost of turning, deriving the cost landscape as a function of turning radius and rate. We then generalized this cost landscape to arbitrarily complex trajectories, allowing the velocity direction to deviate from body orientation (holonomic walking). We used this generalized optimality criterion to mathematically predict movement patterns in multiple contexts of varying complexity: walking on prescribed paths, turning in place, navigating an angled corridor, navigating freely with end-point constraints, walking through doors, and navigating around obstacles. In these tasks, humans moved at speeds and paths predicted by our optimality criterion, slowing down to turn and never using sharp turns. We show that the shortest path between two points is, counterintuitively, often not energy-optimal, and, indeed, humans do not use the shortest path in such cases. Thus, we have obtained a unified theoretical account that predicts human walking paths and speeds in diverse contexts. Our model focuses on walking in healthy adults; future work could generalize this model to other human populations, other animals, and other locomotor tasks. © 2021 National Academy of Sciences. All rights reserved.
英文关键词	Optimization \| locomotion \| human movement \| predictive theory \| metabolic energy
语种	英语
scopus关键词	adult; animal experiment; animal model; article; female; human; male; nonhuman; theoretical study; velocity; walking
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/238469
作者单位	Mechanical and Aerospace Engineering, Ohio State University, Columbus, OH 43210, United States; Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, United States; Program in Biophysics, Ohio State University, Columbus, OH 43210, United States
推荐引用方式 GB/T 7714	Brown G.L.,Seethapathi N.,Srinivasan M.. A unified energy-optimality criterion predicts human navigation paths and speeds[J],2021,118(29).
APA	Brown G.L.,Seethapathi N.,&Srinivasan M..(2021).A unified energy-optimality criterion predicts human navigation paths and speeds.Proceedings of the National Academy of Sciences of the United States of America,118(29).
MLA	Brown G.L.,et al."A unified energy-optimality criterion predicts human navigation paths and speeds".Proceedings of the National Academy of Sciences of the United States of America 118.29(2021).