Signal Processing Algorithms for Position Measurement with MEMS-Based Accelerometer

被引：0

作者：

Du, J. ^{[1
,2
]}

Gerdtman, C. ^{[2
]}

Linden, Maria ^{[1
]}

机构：

[1] Malardalen Univ, Sch Innovat Design & Engn, Gurksaltargatan 9, S-72218 Vasteras, Sweden

[2] Mot Control & Vasteras AB, S-72130 Vasteras, Sweden

来源：

16TH NORDIC-BALTIC CONFERENCE ON BIOMEDICAL ENGINEERING | 2015年 / 48卷

关键词：

Accelerometer; integration; MEMS; signal processing; drift;

D O I：

10.1007/978-3-319-12967-9_10

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper presents signal processing algorithms for position measurements with MEMS-accelerometers in a motion analysis system. The motion analysis system is intended to analyze the human motion with MEMS-based-sensors which is a part of embedded sensor systems for health. MEMS-accelerometers can be used to measure acceleration and theoretically the velocity and position can be derived from the integration of acceleration. However, there normally is drift in the measured acceleration, which is enlarged under integration. In this paper, the signal processing algorithms are used to minimize the drift during integration by MEMS-based accelerometer. The simulation results show that the proposed algorithms improved the results a lot. The algorithm reduced the drift in one minute by about 20 meters in the simulation. It can be seen as a reference of signal processing for the motion analysis system with MEMS-based accelerometer in the future work.

引用

页码：36 / 39

页数：4