A Calibration Method for MEMS Inertial Sensors Based on Optical Tracking
- 1 January 2007
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 542-547
- https://doi.org/10.1109/nems.2007.352077
Abstract
A MAG-muIMU which is based on MEMS accelerometers, gyroscopes and magnetometers has been developed for real-time estimation of human hand motions. Appropriate filtering, transformation and sensor fusion techniques are combined in the ubiquitous digital writing instrument (UDWI) to record the handwriting on any surface. However, because of the sensors' intrinsic biases and random noise such as circuit thermal noise, a calibration system that provides good reference measurement parameters must be used to compare the output of the MAG-muIMU sensors. We propose here a novel idea to calibrate three-dimensional linear accelerations, angular velocities and space attitude through optical tracking techniques. The optical tracking system (OTS) developed by our group consists of two parts: 1) 2D trajectory calibration that is used to obtain linear accelerations of the UDWI in a particular frame defined by us; 2) multiple camera calibration that is used for attitude calibration of the UDWI. An essential relationship to transform reference frames and angular velocities can be guaranteed after real-time attitude calibration. Hence, the entire nine-dimensional output of the MAG-muIMU can be rectified according to these more accurate data obtained from optical tracking.Keywords
This publication has 9 references indexed in Scilit:
- Towards an ubiquitous wireless digital writing instrument using MEMS motion sensing technologyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- An Attitude Compensation Technique for a MEMS Motion Sensor Based Digital Writing InstrumentPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- An Efficient Coordinate Frame Calibration Method for 3-D Measurement by Multiple Camera SystemsIEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2005
- Camera calibration with one-dimensional objectsIeee Transactions On Pattern Analysis and Machine Intelligence, 2004
- An Efficient Three-Step Search Algorithm for Block Motion EstimationIEEE Transactions on Multimedia, 2004
- Parallel implementation of the full search block matching algorithm for motion estimationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A novel four-step search algorithm for fast block motion estimationIEEE Transactions on Circuits and Systems for Video Technology, 1996
- A new three-step search algorithm for block motion estimationIEEE Transactions on Circuits and Systems for Video Technology, 1994
- The Levenberg-Marquardt algorithm: Implementation and theoryPublished by Springer Science and Business Media LLC ,1978