Hu Huacheng, Zheng Jianbin, Zhan Enqi, Yu Lie
School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China.
School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan 430073, China.
Sensors (Basel). 2019 Jul 23;19(14):3235. doi: 10.3390/s19143235.
This paper proposed a new novel method to adaptively detect gait patterns in real time through the ground contact forces (GCFs) measured by load cell. The curve similarity model (CSM) is used to identify the division of off-ground and on-ground statuses, and differentiate gait patterns based on the detection rules. Traditionally, published threshold-based methods detect gait patterns by means of setting a fixed threshold to divide the GCFs into on-ground and off-ground statuses. However, the threshold-based methods in the literature are neither an adaptive nor a real-time approach. In this paper, the curve is composed of a series of continuous or discrete ordered GCF data points, and the CSM is built offline to obtain a training template. Then, the testing curve is compared with the training template to figure out the degree of similarity. If the computed degree of similarity is less than a given threshold, they are considered to be similar, which would lead to the division of off-ground and on-ground statuses. Finally, gait patterns could be differentiated according to the status division based on the detection rules. In order to test the detection error rate of the proposed method, a method in the literature is introduced as the reference method to obtain comparative results. The experimental results indicated that the proposed method could be used for real-time gait pattern detection, detect the gait patterns adaptively, and obtain a low error rate compared with the reference method.
本文提出了一种新的新颖方法，通过称重传感器测量的地面接触力（GCF）实时自适应地检测步态模式。曲线相似性模型（CSM）用于识别离地和着地状态的划分，并根据检测规则区分步态模式。传统上，已发表的基于阈值的方法通过设置固定阈值将GCF划分为着地和离地状态来检测步态模式。然而，文献中的基于阈值的方法既不是自适应方法也不是实时方法。在本文中，曲线由一系列连续或离散的有序GCF数据点组成，并且CSM是离线构建以获得训练模板。然后，将测试曲线与训练模板进行比较以确定相似程度。如果计算出的相似程度小于给定阈值，则认为它们相似，这将导致离地和着地状态的划分。最后，可以根据基于检测规则的状态划分来区分步态模式。为了测试所提出方法的检测错误率，引入文献中的一种方法作为参考方法以获得比较结果。实验结果表明，所提出的方法可用于实时步态模式检测，自适应地检测步态模式，并且与参考方法相比具有较低的错误率。
