...
首页> 外文期刊>Journal of Biomechanics >Reliability and comparison of Kinect-based methods for estimating spatiotemporal gait parameters of healthy and post-stroke individuals
【24h】

Reliability and comparison of Kinect-based methods for estimating spatiotemporal gait parameters of healthy and post-stroke individuals

机译:基于Kinect的抑制性能和卒中后个体的时滞参数的可靠性和比较

获取原文
获取原文并翻译 | 示例
           

摘要

Different studies have analyzed the potential of the off-the-shelf Microsoft Kinect, in its different versions, to estimate spatiotemporal gait parameters as a portable markerless low-cost alternative to laboratory grade systems. However, variability in populations, measures, and methodologies prevents accurate comparison of the results. The objective of this study was to determine and compare the reliability of the existing Kinect-based methods to estimate spatiotemporal gait parameters in healthy and post-stroke adults. Forty-five healthy individuals and thirty-eight stroke survivors participated in this study. Participants walked five meters at a comfortable speed and their spatiotemporal gait parameters were estimated from the data retrieved by a Kinect v2, using the most common methods in the literature, and by visual inspection of the videotaped performance. Errors between both estimations were computed. For both healthy and post-stroke participants, highest accuracy was obtained when using the speed of the ankles to estimate gait speed (3.6-5.5 cm/s), stride length (2.5-5.5 cm), and stride time (about 45 ms), and when using the distance between the sacrum and the ankles and toes to estimate double support time (about 65 ms) and swing time (60-90 ms). Although the accuracy of these methods is limited, these measures could occasionally complement traditional tools. (C) 2018 Elsevier Ltd. All rights reserved.
机译:不同的研究已经分析了其不同版本,以其不同的版本,以估计时空步态参数的潜力作为实验室级系统的便携式无价值的低成本替代品。然而,群体的可变性,措施和方法可以防止对结果进行准确比较。本研究的目的是确定并比较现有基于Kinect的方法的可靠性,以估计健康和后卒中成年人的时空步态参数。四十五个健康的个人和三十八个中风幸存者参加了这项研究。参与者以舒适的速度走了五米,从Kinect V2检索的数据估计了它们的时空步态参数,使用文献中最常见的方法,并通过视觉检查录像化性能。计算两个估计之间的错误。对于健康和中风后参与者来说,在使用脚踝的速度估计步态速度(3.6-5.5cm / s)时获得最高精度(3.6-5.5cm / s),步幅长度(2.5-5.5cm)和步幅(约45毫秒) ,并且在使用骶骨和脚踝之间的距离和脚趾之间以估计双支撑时间(约65ms)和摆动时间(60-90ms)。虽然这些方法的准确性有限,但这些措施偶尔会补充传统工具。 (c)2018年elestvier有限公司保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号