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用于切入行走的最小作用量原理。

A least action principle for interceptive walking.

机构信息

Department of Physics and Astronomy and Center for Theoretical Physics, Seoul National University, Seoul, 08826, Korea.

Brain Science Institute, Korea Institute of Science and Technology, Seoul, 02792, Korea.

出版信息

Sci Rep. 2021 Jan 26;11(1):2198. doi: 10.1038/s41598-021-81722-6.

DOI:10.1038/s41598-021-81722-6
PMID:33500433
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7838306/
Abstract

The principle of least effort has been widely used to explain phenomena related to human behavior ranging from topics in language to those in social systems. It has precedence in the principle of least action from the Lagrangian formulation of classical mechanics. In this study, we present a model for interceptive human walking based on the least action principle. Taking inspiration from Lagrangian mechanics, a Lagrangian is defined as effort minus security, with two different specific mathematical forms. The resulting Euler-Lagrange equations are then solved to obtain the equations of motion. The model is validated using experimental data from a virtual reality crossing simulation with human participants. We thus conclude that the least action principle provides a useful tool in the study of interceptive walking.

摘要

最小努力原则被广泛用于解释与人类行为相关的现象,从语言话题到社会系统话题都有涉及。它源自经典力学的拉格朗日表述中的最小作用量原理。在这项研究中,我们提出了一个基于最小作用量原理的人类截停行走模型。受到拉格朗日力学的启发,我们定义了一个拉格朗日量,它等于努力减去安全,有两种不同的具体数学形式。然后求解得到的欧拉-拉格朗日方程,以获得运动方程。该模型使用人类参与者虚拟现实穿越模拟的实验数据进行验证。因此,我们得出结论,最小作用量原理为截停行走研究提供了一个有用的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc69/7838306/8a365285e482/41598_2021_81722_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc69/7838306/7a78ae0c3a0c/41598_2021_81722_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc69/7838306/2f0fe58e3709/41598_2021_81722_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc69/7838306/8a365285e482/41598_2021_81722_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc69/7838306/7a78ae0c3a0c/41598_2021_81722_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc69/7838306/2f0fe58e3709/41598_2021_81722_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc69/7838306/8a365285e482/41598_2021_81722_Fig3_HTML.jpg

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本文引用的文献

1
Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior.使用虚拟现实步行模拟器研究行人行为。
J Vis Exp. 2020 Jun 9(160). doi: 10.3791/61116.
2
Predicting Energy Expenditure During Gradient Walking With a Foot Monitoring Device: Model-Based Approach.基于模型的方法:使用足部监测设备预测梯度行走时的能量消耗。
JMIR Mhealth Uhealth. 2019 Oct 23;7(10):e12335. doi: 10.2196/12335.
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Effects of Initial Starting Distance and Gap Characteristics on Children's and Young Adults' Velocity Regulation When Intercepting Moving Gaps.
初始起始距离和间隙特征对儿童及青年在拦截移动间隙时速度调节的影响。
Hum Factors. 2020 Sep;62(6):1002-1018. doi: 10.1177/0018720819867501. Epub 2019 Aug 12.
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Explaining the unique nature of individual gait patterns with deep learning.利用深度学习解释个体步态模式的独特性。
Sci Rep. 2019 Feb 20;9(1):2391. doi: 10.1038/s41598-019-38748-8.
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The transdiagnostic structure of mental effort avoidance.心理努力回避的跨诊断结构。
Sci Rep. 2019 Feb 8;9(1):1689. doi: 10.1038/s41598-018-37802-1.
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Locomotion as a Powerful Model to Study Integrative Physiology: Efficiency, Economy, and Power Relationship.运动作为研究整合生理学的有力模型:效率、经济性与功率关系
Front Physiol. 2018 Dec 11;9:1789. doi: 10.3389/fphys.2018.01789. eCollection 2018.
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Mechanical energy patterns in nordic walking: comparisons with conventional walking.越野行走中的机械能模式:与传统行走的比较。
Gait Posture. 2017 Jan;51:234-238. doi: 10.1016/j.gaitpost.2016.10.010. Epub 2016 Nov 3.
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