Title :
Optimum Experimental Design applied to MEMS accelerometer calibration for 9-parameter auto-calibration model
Author :
Lin Ye;Steven W. Su
Author_Institution :
Centre for Health Technology, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia
Abstract :
Optimum Experimental Design (OED) is an information gathering technique used to estimate parameters, which aims to minimize the variance of parameter estimation and prediction. In this paper, we further investigate an OED for MEMS accelerometer calibration of the 9-parameter auto-calibration model. Based on a linearized 9-parameter accelerometer model, we show the proposed OED is both G-optimal and rotatable, which are the desired properties for the calibration of wearable sensors for which only simple calibration devices are available. The experimental design is carried out with a newly developed wearable health monitoring device and desired experimental results have been achieved.
Keywords :
"Accelerometers","Calibration","Acceleration","Micromechanical devices","Sensitivity","Biomedical monitoring","Parameter estimation"
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
Electronic_ISBN :
1558-4615
DOI :
10.1109/EMBC.2015.7319059
