DocumentCode
2831779
Title
Research on posture recognition based on Kalman filter and quaternion
Author
Lai, Xiao-chen ; Liu, Quan-li ; Wang, Wei ; Li, Li-kun
Author_Institution
Fac. of Electron. Inf. & Electr. Eng., Dalian Univ. of Technol., Dalian, China
fYear
2012
fDate
June 30 2012-July 2 2012
Firstpage
211
Lastpage
216
Abstract
The accuracy of quaternion method in strap-down inertial navigation used for posture recognition is subjected to sensor data drift. Analysis shows that quaternion is a state variable in discrete time linear constant system. A method based on Kalman filter to correct the error is proposed. Recursive calculations on state variables can effectively reduce system error. Experiments show that this method significantly increases the accuracy of posture recognition.
Keywords
Kalman filters; discrete time systems; inertial navigation; linear systems; object recognition; Kalman filter; discrete time linear constant system; posture recognition; quaternion method; sensor data drift; strap-down inertial navigation; Accuracy; Angular velocity; Equations; Gyroscopes; Kalman filters; Noise; Quaternions; Kalman filter; gyroscope; posture recognition; quaternion; strap-down inertial navigation;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science and Engineering (ICSSE), 2012 International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-1-4673-0944-8
Electronic_ISBN
978-1-4673-0943-1
Type
conf
DOI
10.1109/ICSSE.2012.6257178
Filename
6257178
Link To Document