A markerless system based on smartphones and webcam for the measure of step length, width and duration on treadmill

A markerless system based on smartphones and webcam for the measure of step length, width and duration on treadmill
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基于智能手机和网络摄像头的无标记系统,用于测量跑步机上的步长、宽度和持续时间

DOI:
10.1016/j.cmpb.2015.12.003
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发表时间:
2016
影响因子:
6.1
通讯作者:
S. Fioretti
S. Fioretti
中科院分区:
工程技术2区
文献类型:
--
作者:
V. Barone;F. Verdini;L. Burattini;F. Nardo;S. Fioretti

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背景与目的研制了一种低成本、无标记的人体步态时空参数测量系统,该系统可以测量人体步态的步长、步频和步频等参数。只有一个智能手机和一个高清晰度的网络摄像头已经used.MethodsThe由嵌入在智能手机中的加速度计获得的信号被用来识别脚跟撞击事件,而脚的位置通过图像处理的网络摄像头流计算。步长和宽度计算在跑步机上的步态试验在不同的速度(3,4和5公里/小时)。ResultsSix科目已被测试,共504步。将结果与通过立体摄影测量系统(Elite,BTS Engineering)获得的结果进行比较。在5 km/h的速度下,右步长和右步宽的最大平均误差分别为3.7cm(5.36%)和1.63cm(15.16%)。步骤持续时间的最大平均误差为0.02秒(1.69%),在5公里/小时的权利steps.ConclusionThe系统的特点是一个非常高的自动化水平,允许其使用的非专家用户在非结构化的环境。能够在跑步机行走期间自动提供对一些步态事件和参数的可靠且可重复的评估的低成本系统从临床的角度来看也是相关的,因为它允许分析数百步并因此分析它们的可变性。
Background and objectiveA markerless low cost prototype has been developed for the determination of some spatio-temporal parameters of human gait: step-length, step-width and cadence have been considered. Only a smartphone and a high-definition webcam have been used.MethodsThe signals obtained by the accelerometer embedded in the smartphone are used to recognize the heel strike events, while the feet positions are calculated through image processing of the webcam stream. Step length and width are computed during gait trials on a treadmill at various speeds (3, 4 and 5 km/h).ResultsSix subjects have been tested for a total of 504 steps. Results were compared with those obtained by a stereo-photogrammetric system (Elite, BTS Engineering). The maximum average errors were 3.7 cm (5.36%) for the right step length and 1.63 cm (15.16%) for the right step width at 5 km/h. The maximum average error for step duration was 0.02 s (1.69%) at 5 km/h for the right steps.ConclusionThe system is characterized by a very high level of automation that allows its use by non-expert users in non-structured environments. A low cost system able to automatically provide a reliable and repeatable evaluation of some gait events and parameters during treadmill walking, is relevant also from a clinical point of view because it allows the analysis of hundreds of steps and consequently an analysis of their variability.
DOI: 10.1016/j.jbiomech.2014.11.048
发表时间: 2015-02-05
影响因子: 2.4
作者:
Krishnan, Chandramouli;Washabaugh, Edward P.;Seetharaman, Yogesh
通讯作者: Seetharaman, Yogesh
自愿更改步长或步长会影响人步行的动态稳定性。
DOI: 10.1016/j.gaitpost.2011.11.010
发表时间: 2012-03
期刊: GAIT & POSTURE
影响因子: 2.4
作者:
Young, Patricia M. McAndrew;Dingwell, Jonathan B.
通讯作者: Dingwell, Jonathan B.