Classification of waist-acceleration signals in a continuous walking record
Classification of waist-acceleration signals in a continuous walking record
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DOI：
10.1016/s1350-4533(00)00041-2
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发表时间：
2000-05-01
影响因子：
2.2
通讯作者：
Fukui, Y
中科院分区：
文献类型：
--
作者：
Sekine, M;Tamura, T;Fukui, Y
我们试图区分行走在平地上走楼梯上使用腰部加速度信号。将三轴加速度计固定在受试者的腰部，并通过便携式数据记录器以256 Hz的采样率记录三个加速度信号。20名健康男性受试者被要求在没有任何指导的情况下，通过走廊和上下楼梯作为一个单一的序列。采用离散小波变换对数据进行分析。步行模式分为两个阶段。在第一阶段中，使用前后加速度（LFA）和垂直加速度（LFV）的低频分量检测步行模式改变的时间。在第二阶段，三种类型的步行模式进行分类，通过比较功率的小波系数在垂直方向（P-WCV）和在前后方向（RPWCA）。步行模式的变化可以通过使用LFA或LFV来检测。下楼梯可与其他类型的步行区分开来，因为它在P-WCV中给出了最大值，上楼梯可使用RPWCA与水平步行区分开来。水平和楼梯步行可以从腰部加速度的连续记录进行分类。(C)2000 IPEM。由爱思唯尔科技有限公司出版。保留所有权利。
We attempted to distinguish walking on level ground from walking on a stairway using waist acceleration signals. A triaxial accelerometer was fixed to the subject's waist and the three acceleration signals were recorded by a portable data logger at a sampling rate of 256 Hz. Twenty healthy male subjects were asked to walk through a corridor and up and down a stairway as a single sequence, without any instruction. The data were analyzed using discrete wavelet transform. Walking patterns were classified in two stages. In the first stage, the times when the walking pattern changed were detected using the low-frequency component of the anteroposterior acceleration (LFA) and of the vertical acceleration (LFV). In the second stage, the three types of walking patterns were classified by comparing powers of wavelet coefficients in the vertical direction (P-WCV) and in the anteroposterior direction (RPWCA). Changes in walking patterns could be detected by using either LFA or LFV. Walking down stairs could be distinguished from the other types of walking as it gave the largest value in P-WCV, and walking up stairs could be discriminated from level walking using RPWCA. Level and stairway walking could be classified from continuous records of waist acceleration. (C) 2000 IPEM. Published by Elsevier Science Ltd. All rights reserved.