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使用体素数据进行步态分析与验证。

Gait analysis and validation using voxel data.

作者信息

Wang Fang, Stone Erik, Dai Wenqing, Skubic Marjorie, Keller James

机构信息

Electrical and Computer Engineering Department, University of Missouri, Columbia, MO 65211, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6127-30. doi: 10.1109/IEMBS.2009.5334706.

Abstract

In this paper, we present a method for extracting gait parameters including walking speed, step time and step length from a three-dimensional voxel reconstruction, which is built from two calibrated camera views. These parameters are validated with a GAITRite Electronic mat and a Vicon motion capture system. Experiments were conducted in which subjects walked across the GAITRite mat at various speeds while the Vicon cameras recorded the motion of reflective markers attached to subjects' shoes, and our two calibrated cameras captured the images. Excellent agreements were found for walking speed. Step time and step length were also found to have good agreement given the limitation of frame rate and voxel resolution.

摘要

在本文中,我们提出了一种从三维体素重建中提取步态参数(包括步行速度、步时和步长)的方法,该三维体素重建由两个校准的相机视图构建而成。这些参数通过GAITRite电子垫和Vicon运动捕捉系统进行了验证。进行了实验,让受试者以不同速度走过GAITRite垫子,同时Vicon相机记录附着在受试者鞋子上的反光标记的运动,我们的两个校准相机拍摄图像。在步行速度方面发现了极佳的一致性。考虑到帧率和体素分辨率的限制,步时和步长也被发现具有良好的一致性。

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