A Novel Step Length Estimator Based on Foot-Mounted MEMS Sensors

被引：4
|
作者：
Zhu, Zhuangsheng [1 ]
Wang, Shibo [1 ]
机构：
[1] Beihang Univ, Sch Instrumentat & Optoelect Engn, Beijing 100191, Peoples R China
来源：
SENSORS | 2018年 / 18卷 / 12期
基金：
中国国家自然科学基金;
关键词：
pedestrian navigation; step length; inertial navigation; human motion; INERTIAL NAVIGATION; ALGORITHM DESIGN; SYSTEM;
D O I：
10.3390/s18124447
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Pedestrian Dead Reckoning (PDR)-based pedestrian navigation technology is an important part of indoor and outdoor seamless positioning services. To improve the performance of PDR, we have conducted research on a step length estimator. Firstly, based on the basic theory of inertial navigation, we analyze in detail the errors in traditional Strapdown Inertial Navigation Systems (SINSs) caused by the unique motion state of pedestrians. Then, according to the fact that the inertial data from the foot can directly reflect the gait characteristics, we conduct a step length estimator that does not rely on SINS. The experimental results show that accuracy of the proposed method is between 0.6% and 1.4% with a standard deviation of 0.25%.
引用
收藏
页数：20
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