Accuracy of classifying the movement strategy in the functional reach test using a markerless motion capture system

被引:10
|
作者
Tanaka R. [1 ,2 ]
Ishikawa Y. [2 ]
Yamasaki T. [2 ]
Diez A. [3 ]
机构
[1] Graduate School of Integrated Arts and Sciences, Hiroshima University, Higashihiroshima
[2] Department of Rehabilitation, Hiroshima International University, Higashihiroshima
[3] System Friend Inc, Hiroshima
来源
关键词
accidental falls; articular; data accuracy; movement; Postural balance; range of motion;
D O I
10.1080/03091902.2019.1626504
中图分类号
学科分类号
摘要
The purpose of this study was to examine the accuracy of classifying the movement strategy in the functional reach test (FRT) using a markerless motion capture system (MLS) on the basis of values acquired with a marker-based motion capture system (MBS). Sixty young, injury-free individuals participated in this study. The task action involved reaching forward in the standing position. Using the Microsoft Kinect v2 as an MLS and Vicon as a MBS, the coordinates of the hip joints, knee joints and ankle joints were measured. The hip and ankle joint angles during the task were calculated from the coordinate data. These angles between MLS and MBS were compared using a paired t-test. The accuracy of movement strategy defined using MLS was examined based on the MBS. A t-test showed a significant difference in both the hip and ankle joint angles between systems (p <.01). However, in case of using data of left ankle joint, indices of the classification accuracy of MLS were 0.825 for sensitivity, 1.000 for specificity, infinity for positive likelihood ratio and 0.175 for negative likelihood ratio. The results for the right joint angle were similar to those of the left joint angle. Although the absolute measures in the hip and joint angles obtained using MLS differ from MBS, the MLS may be useful for accurately classifying the movement strategy adopted in the FRT. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
引用
收藏
页码:133 / 138
页数:5
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