id: 05985098
dt: a
an: 05985098
au: Hu, Xiaoming; Li, Qin; He, Changyu; Liu, Yue
ti: An attitude determination system based on adaptive Kalman filter for human
    machine interface.
so: Zhang, Jun (ed.), Applied informatics and communication. International
    conference, ICAIC 2011, Xi’an, China, August 20‒21, 2011,
    Proceedings, Part IV. Berlin: Springer (ISBN 978-3-642-23225-1/pbk;
    978-3-642-23226-8/ebook). Communications in Computer and Information
    Science 227, 170-177 (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: attitude determination; human machine interface; Kalman filter
ci: 
li: doi:10.1007/978-3-642-23226-8_23
ab: Summary: This paper presents a low cost three degree-of-freedom attitude
    determination system for human machine interface. The system consists a
    triaxis accelerometer and a triaxis magnetometer. The attitude
    measurement algorithm which direct calculates the attitude is first
    discussed, and the error due to motion acceleration is analyzed, then
    an adaptive Kalman filter which dynamically modifies the measurement
    variance is proposed to estimate the attitude. The proposed filter is
    implemented on a homemade module, and compared with commercial motion
    tracking system which uses an additional triaxis gyroscope.
    Experimental results show that this method can be used for low-cost
    real time human machine interface.
rv: