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Accelerometer calibration using sensor fusion with a gyroscope
Uppsala University, Sweden.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Instituto Tecnologico y de Estudias Superiores de Monterrey, Atizapan, Mexico.
Uppsala University, Sweden.
2016 (English)In: Proceedings of the IEEE Workshop on Statistical Signal Processing, 2016, 660-664 p.Conference paper (Refereed)
Abstract [en]

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.
Keyword [en]
Calibration, MEMS, Accelerometer, Sensor fusion, Maximum likelihood
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-130564OAI: oai:DiVA.org:liu-130564DiVA: diva2:953125
Conference
IEEE Workshop on Statistical Signal Processing, Palma de Mallorca, Spain, June 26-29, 2016.
Projects
The project Mobile assessment of human balance (Contract number: 2015-05054)CADICS
Funder
Swedish Research Council
Available from: 2016-08-16 Created: 2016-08-16 Last updated: 2016-08-17

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Kok, Manon
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