Noise Reduction for a MEMS-Gyroscope-Based Head Mouse

被引：4
|
作者：
Du, Jiaying [1 ,2 ]
Gerdtman, Christer [2 ]
Linden, Maria [1 ]
机构：
[1] Malardalen Univ, Sch Innovat Design & Engn, Box 883, SE-72123 Vasteras, Sweden
[2] Mot Control Vasteras AB, Vasteras, Sweden
来源：
PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON WEARABLE MICRO AND NANO TECHNOLOGIES FOR PERSONALIZED HEALTH (PHEALTH 2015) | 2015年 / 211卷
关键词：
Kalman filter; LMS; low-pass filter; MEMS-gyroscope; WFLC; TREMOR;
D O I：
10.3233/978-1-61499-516-6-98
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, four different signal processing algorithms which can be applied to reduce the noise from a MEMS-gyroscope-based computer head mouse are presented. MEMS-gyroscopes are small, light, cheap and widely used in many electrical products. MultiPos, a MEMS-gyroscope-based computer head mouse system was designed for persons with movement disorders. Noise such as physiological tremor and electrical noise is a common problem for the MultiPos system. In this study four different signal processing algorithms were applied and evaluated by simulation in MATLAB and implementation in a dsPIC, with aim to minimize the noise in MultiPos. The algorithms were low-pass filter, Least Mean Square (LMS) algorithm, Kalman filter and Weighted Fourier Linear Combiner (WFLC) algorithm. Comparisons and system tests show that these signal processing algorithms can be used to improve the MultiPos system. The WFLC algorithm was found the best method for noise reduction in the application of a MEMS-gyroscope-based head mouse.
引用
收藏
页码：98 / 104
页数：7
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