人类行走的波动(四)

IF 0.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Complex Systems Pub Date : 2008-02-27 DOI:10.1063/1.2897889
T. Obata, T. Mashiyama, T. Kogure, S. Itakura, T. Sato, K. Takahashi, H. Oshima, Hiroaki Hara
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引用次数: 0

摘要

在一个宽阔的场地上进行了环漂移的现场实验。被蒙住眼睛和被阻止的受试者被观察到做环形漫游而不是随机行走。这个实验模拟了登山者在雪山中遇到的环漂移现象。报告了13个受试者的15个步行样本。他们的步行时间约为40分钟或2小时。通过GPS接收器,每秒钟采集一次行走数据。利用赫斯特R/S分析和傅立叶谱分析,对数据的离散速度v(t)和离散角速度ω(t)进行了分析。v(t)的Hurst指数显示出长期相关性。ω(t)的Hurst指数在短期表现为反相关,在长期表现为相关。这些赫斯特指数在当前数据中的特征以及本研究系列中以前的数据都很好地描述了环漂移现象。步行40分钟和步行2小时之间没有显著差异。
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Fluctuations in Human's Walking (IV)
A field experiment of ring‐wandering is executed on a wide playground. Blindfolded and stoppled subjects are observed to do ring‐wandering rather than random‐walking. This experiment simulates the phenomenon of ring‐wandering that climbers encounter in snowy mountains. 15 samples of walking for 13 subjects are reported. Their walking periods are about 40 minutes or 2 hours. The walking data are acquired every second, using a GPS receiver. The discrete velocity v(t) and discrete angular velocity ω(t) of the data are analyzed, using Hurst's R/S analysis and Fourier spectrum analysis. The Hurst exponents of v(t) show long‐range correlations. The Hurst exponents of ω(t) show anti‐correlations in short‐ranges and correlations in long‐ranges. These characteristics of the Hurst exponents in the present data in addition to previous data in this study series describe the ring‐wandering phenomena very well. Significant differences are not seen between 40‐minutes walking and 2‐hours walking.
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来源期刊
Complex Systems
Complex Systems MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
1.80
自引率
25.00%
发文量
18
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