DocumentCode :
1841258
Title :
Performance evaluation of the wireless inertial measurement unit WB-4 with magnetic field calibration
Author :
Zhuohua Lin ; Zecca, M. ; Sessa, S. ; Bartolomeo, L. ; Ishii, Hiroyuki ; Takanishi, A.
Author_Institution :
Grad. Sch. of Creative Sci. & Eng., Waseda Univ., Tokyo, Japan
fYear :
2012
fDate :
11-14 Dec. 2012
Firstpage :
2219
Lastpage :
2224
Abstract :
This paper presents the performance evaluation of our wireless miniature Inertial Measurement Unit (IMU) WB-4 by compared with the Vicon motion capture system. In particular, a magnetic field calibration method is introduced to improve the sensor orientation estimate accuracy. The WB-4 IMU primarily contains a motherboard for motion sensing, a Bluetooth module for wireless data transmission with PC, and a Li-Polymer battery for power supply. The motherboard is provided with a 32-bit microcontroller and 3-axis miniaturized MEMS accelerometer, 3-axis gyroscope and 3-axis magnetometer to estimate the sensor orientation based on an extended Kalman filter algorithm. In our previous research of WB-4 IMU performance evaluation, the factory calibration parameters of the magnetometer were used for the sensor fusion, which resulted in a higher error on the yaw angle in respect to roll and pitch. This study presents a magnetic calibration method for overcoming that limitation. The experimental results showed that the wireless WB-4 IMU could achieve better orientation performance in all the directions after the implementation of the magnetic calibration method. The yaw angle accuracy was significantly improved from previous error 5.46 degree to 1.77 degree.
Keywords :
Bluetooth; Kalman filters; accelerometers; calibration; computerised instrumentation; data communication; gyroscopes; magnetic field measurement; magnetic sensors; magnetometers; microsensors; motion estimation; nonlinear filters; sensor fusion; units (measurement); 3-axis gyroscope; 3-axis magnetometer; 3-axis miniaturized MEMS accelerometer; Bluetooth module; Li-polymer battery; PC; Vicon motion capture system; WB-4 IMU performance evaluation; body motion reconstruction; extended Kalman filter algorithm; magnetic field calibration method; magnetometer; microcontroller; motherboard; motion sensing; power supply; sensor fusion; wireless data transmission; wireless miniature inertial measurement unit WB-4; word length 32 bit; yaw angle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-2125-9
Type :
conf
DOI :
10.1109/ROBIO.2012.6491298
Filename :
6491298
Link To Document :
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