Chen Jiangang, Fernandes Jayer, Ke Jianwei, Lu Francis, King Barbara, Hu Yu Hen, Jiang Hongrui
Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706 USA.
School of Nursing, University of Wisconsin-Madison, Madison, WI 53706 USA.
IEEE Sens J. 2024 Mar;24(5):6888-6897. doi: 10.1109/jsen.2024.3351566. Epub 2024 Jan 15.
We developed an ankle-worn gait monitoring system for tracking gait parameters, including length, width, and height. The system utilizes ankle bracelets equipped with wide-angle infrared (IR) stereo cameras tasked with monitoring a marker on the opposing ankle. A computer vision algorithm we have also developed processes the imaged marker positions to estimate the length, width, and height of the person's gait. Through testing on multiple participants, the prototype of the proposed gait monitoring system exhibited notable performance, achieving an average accuracy of 96.52%, 94.46%, and 95.29% for gait length, width, and height measurements, respectively, despite distorted wide-angle images. The OptiGait system offers a cost-effective and user-friendly alternative compared to existing gait parameter sensing systems, delivering comparable accuracy in measuring gait length and width. Notably, the system demonstrates a novel capability in measuring gait height, a feature not previously reported in the literature.
我们开发了一种用于跟踪步态参数（包括步长、步宽和步高）的脚踝穿戴式步态监测系统。该系统利用配备了广角红外（IR）立体摄像头的脚踝手环，这些摄像头负责监测对侧脚踝上的一个标记物。我们还开发了一种计算机视觉算法，用于处理成像的标记物位置，以估计人的步态的长度、宽度和高度。通过对多名参与者的测试，所提出的步态监测系统的原型表现出显著的性能，尽管存在广角图像失真的情况，但在步态长度、宽度和高度测量方面分别实现了96.52%、94.46%和95.29%的平均准确率。与现有的步态参数传感系统相比，OptiGait系统提供了一种经济高效且用户友好的替代方案，在测量步态长度和宽度方面具有相当的准确性。值得注意的是，该系统在测量步态高度方面展示了一种新颖的能力，这是文献中此前未报道过的一个特征。
