Title :
An adaptive kalman filter for three dimensional attitude tracking
Author :
Hu, Xiaoming ; Li, Qin ; He, Changyu ; Liu, Yue
Author_Institution :
Beijing Inst. of Technol., Beijing, China
Abstract :
An adaptive kalman filter for three dimensional attitude tracking is presented in this paper. Such filter can be used in the low cost system with only a triaxis accelerometer and a triaxis magnetometer where dynamic attitude tracking is needed. An adaptive kalman filter for three dimensional attitude tracking which dynamically updates the measurement variance according to the mode of acceleration is proposed. The proposed filter is implemented and evaluated on a homemade attitude tracking module. Experimental results show that this method can be used for low-cost real time human machine interface.
Keywords :
accelerometers; adaptive Kalman filters; attitude measurement; human computer interaction; magnetometers; sensor fusion; 3D attitude tracking; adaptive Kalman filter; dynamic attitude tracking; measurement variance; real time human machine interface; triaxis accelerometer; triaxis magnetometer; Accelerometers; Kalman filters; Magnetic sensors; Magnetic separation; Magnetometers; Noise; Attitude Determination; Human Machine Interface; Kalman filter;
Conference_Titel :
VR Innovation (ISVRI), 2011 IEEE International Symposium on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0055-2
Electronic_ISBN :
978-1-4577-0054-5
DOI :
10.1109/ISVRI.2011.5759620