Title :
A low-cost motion tracker and its error analysis
Author :
Dong, Wei ; Lim, Kwang Yong ; Goh, Young Koon ; Nguyen, Kim Doang ; Chen, I-Ming ; Yeo, Song Huat ; Duh, Been-Lirn
Author_Institution :
Robot. Res. Centre, Nanyang Technol. Univ., Singapore
Abstract :
This paper develops a physical model of an inertial/magnetic measurement unit by effectively integrating an accelerometer, a magnetometer, and two gyroscopes for low-g motion tracking applications. The proposed model breaks down the errors contributed by individual components, then determines error elimination methods based on sensor behavior and characteristics, and finally constructs a feedback loop for continuous self-calibration. Measurement errors are reduced by adopting a systematic design methodology: 1) tilt errors are minimized through a careful selection of A/D convertor resolution and by making compensation on sensor bias and scale factor; 2) heading errors are reduced by cancelling out nearby ferrous distortions and making tilt-compensation on the magnetometer; 3) errors from gyroscope measurements are eliminated via the least squares algorithm and continuous corrections using orientation data at the steady-state position. Preliminary tests for low-g motion sensing show that the motion tracker can achieve less than plusmn0.5deg accuracy in tilt and less than plusmn1deg accuracy in yaw angle measurement with above-mentioned methods.
Keywords :
accelerometers; analogue-digital conversion; angular measurement; error analysis; gyroscopes; least squares approximations; magnetometers; A-D convertor resolution; accelerometer; continuous self-calibration; error analysis; error elimination methods; gyroscopes; inertial-magnetic measurement unit; least squares algorithm; magnetometer; magnetometer tilt-compensation; motion tracker; motion tracking applications; yaw angle measurement; Accelerometers; Error analysis; Error correction; Gyroscopes; Magnetic sensors; Magnetic variables measurement; Magnetometers; Motion analysis; Sensor phenomena and characterization; Tracking;
Conference_Titel :
Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
Conference_Location :
Pasadena, CA
Print_ISBN :
978-1-4244-1646-2
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2008.4543226