Adaptive Step Length Estimation Support Indoor Positioning System using Low-Cost Inertial Measurement Units

被引：2

作者：

Van Thanh Pham ^{[1
,2
]}

Tuan Khai Nguyen ^{[1
]}

Duc Anh Nguyen ^{[2
]}

Nhu Dinh Dang ^{[2
]}

Huu Tue Huynh ^{[3
]}

Duc-Tan Tran ^{[4
]}

机构：

[1] VNU Univ Engn & Technol, Dept Elect & Telecommun, Hanoi, Vietnam

[2] Univ Fire Prevent & Fighting, Dept Automat & Tech Equipment Fire Fighting & Res, Hanoi, Vietnam

[3] VNU Int Univ, Sch Elect Engn, Ho Chi Minh, Vietnam

[4] Phenikaa Univ, Fac Elect & Elect Engn, Hanoi, Vietnam

来源：

IEEE ICCE 2020: 2020 IEEE EIGHTH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND ELECTRONICS (ICCE) | 2021年

关键词：

Step length estimation; Indoor Positioning System; Inertial Measurement Units;

D O I：

10.1109/ICCE48956.2021.9352113

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, the interest in development of navigation systems and health-care devices concerning human movement begins to soar as its growing demand. Along with sophisticated system builds, low-cost tier also appears to he a competitive ground which starts to draw a lot of attention. In this research, w e aim to propose an adaptive way of step length estimation using low-cost Inertial Measurement Units (IMU) for Indoor Positioning System (IPS). Unlike other methods, our algorithm of estimation does not require static axis preset, thus increasing the flexibility, mobility and adaptability for different purposes and circumstances.

引用

页码：268 / 275

页数：8

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