几种常用步态检测典型算法的设计比较

基于步态检测技术是影响行人导航定位系统精度的一项关键因素,在研究了相关行人导航文献后,对行人步行状态建立模型,并选取了三种常见的步态检测算法,峰值检测算法、自适应峰值检测算法和零点检测算法,介绍分析了这几种算法的基本原理和设计思路。随后,在相同的环境下,基于同样的设备和测试者,设置几组不同的步行状态,分别使用三种算法对行人的运动步数进行测试统计。最后,比较测试结果,分析说明了三种算法的精确度以及各自的优缺点。

The Comparison of Several Typical Gait Detection Algorithms

Gait detection technology is one of the key factors that affect the accuracy of pedestrian navigation system. After studying the relevant literatures, the pedestrian walking status was modeled and three common gait detection algorithms, peak detection algorithm, adaptive peak detection algorithm and zero detection algorithm were selected. At the same time, the basic principles of these algorithms were introduced and analyzed. Subsequently, in the same environment, several sets of different walking states were set up based on the same equipment and experimenter, in which three kinds of algorithms were respectively used to measure pedestrian movement steps. Finally, the results were compared, and the accuracy of the three algorithms and their advantages and disadvantages were analyzed and explained.