Zhang Yanshun, Li Yingyue, Peng Chuang, Mou Dong, Li Ming, Wang Wei
School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China.
Electronic Engineering Research Institute, China Academy of Engineering Physics, Mianyang 621900, China.
Sensors (Basel). 2018 Mar 30;18(4):1039. doi: 10.3390/s18041039.
In order to tackle the inaccurate step length measurement of people with different heights and in different motion states, a height-adaptive method of step length measurement based on motion parameters is proposed in this paper. This method takes people's height, stride frequency, and changing accelerometer output while walking into integrated consideration, and builds a dynamic and parameterized model of their step length. In this study, these parameters were calibrated with thirty sets of experiment data from people with different heights and in different motion states, which were then verified experimentally by motion data of randomly selected subjects, regardless of speed and height. The experiment results indicate that the height-adaptive step length measurement was realized, thus eliminating the influence of height exerted on step length measurement.
为了解决不同身高和不同运动状态的人步长测量不准确的问题,本文提出了一种基于运动参数的步长测量高度自适应方法。该方法综合考虑了人的身高、步频以及行走时加速度计输出的变化,建立了步长的动态参数化模型。在本研究中,利用30组来自不同身高和不同运动状态人群的实验数据对这些参数进行了校准,然后通过随机选择的受试者的运动数据进行了实验验证,且不考虑速度和身高。实验结果表明,实现了高度自适应步长测量,从而消除了身高对步长测量的影响。