Accelerometer calibration using sensor fusion with a gyroscope
2016 (English)In: Proceedings of the IEEE Workshop on Statistical Signal Processing, 2016, 660-664 p.Conference paper (Refereed)
In this paper, a calibration method for a triaxial accelerometer using a triaxial gyroscope is presented. The method uses a sensor fusion approach, combining the information from the accelerometers and gyroscopes to find an optimal calibration using Maximum likelihood. The method has been tested by using real sensors in smartphones to perform orientation estimation and verified through Monte Carlo simulations. In both cases, the method is shown to provide a proper calibration, reducing the effect of sensor errors and improving orientation estimates.
Place, publisher, year, edition, pages
2016. 660-664 p.
Calibration, MEMS, Accelerometer, Sensor fusion, Maximum likelihood
IdentifiersURN: urn:nbn:se:liu:diva-130564OAI: oai:DiVA.org:liu-130564DiVA: diva2:953125
IEEE Workshop on Statistical Signal Processing, Palma de Mallorca, Spain, June 26-29, 2016.
ProjectsThe project Mobile assessment of human balance (Contract number: 2015-05054)CADICS
FunderSwedish Research Council