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首页> 外文期刊>Biomedical Engineering: Applications, Basis and Communications >A FOOTPRINT TRACKING METHOD FOR GAIT ANALYSIS
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A FOOTPRINT TRACKING METHOD FOR GAIT ANALYSIS

机译：步态分析的脚印跟踪方法

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摘要

Gait analysis is popular in many clinical and biomechanical applications, such as diagnosis of diabetic neuropathy, rehabilitation evaluation of stroke patients and performance measurement of sports training. With the rapid and in-depth development of flexible sensing technology, a large-area pressure-sensitive floor can be easily installed in many locations. Complex movement besides linear walking can be designed on large-area floors for gait analysis in clinical or sports research. To conduct those researches, as a basic step, a computational approach is necessary to track each footprint correctly during the movement process. A multi-stage methodology is proposed to solve two main subtasks in the tracking process: (1) the labeling of different footprints and (2) the detection of basic foot gestures in the movement process. The methodology consists of an initial clusters creating stage, a cluster labeling stage and an overlapped footprints separating process. Tai Chi Chuan, one of complex foot movements, was used as an example to evaluate the proposed approach. An overall accuracy of 99.07% for footprint labeling and 90.39% for basic foot gesture detecting were achieved by the method.
机译：步态分析在许多临床和生物力学应用中都很流行，例如糖尿病性神经病的诊断，中风患者的康复评估以及运动训练的表现测量。随着柔性传感技术的迅速深入发展，大面积的压敏地板可以轻松地安装在许多地方。除了线性行走外，还可以在大面积地板上设计复杂的运动，以用于临床或运动研究中的步态分析。为了进行这些研究，作为基本步骤，必须采用一种计算方法来正确跟踪运动过程中的每个足迹。提出了一种多阶段方法来解决跟踪过程中的两个主要子任务：（1）标记不同的足迹，以及（2）在运动过程中检测基本的脚部手势。该方法包括一个初始的群集创建阶段，一个群集标记阶段和一个重叠的足迹分离过程。以太极拳（一种复杂的脚部运动）为例来评估所提出的方法。该方法实现了脚印标记的整体精度为99.07％，基本脚手势检测的整体精度为90.39％。

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