Optimum Experimental Design applied to MEMS accelerometer calibration for 9-parameter auto-calibration model.

Authors :: Ye L
Su SW
Source :: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2015; Vol. 2015, pp. 3145-8.
Publication Year :: 2015
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.

Subjects :: Algorithms
Calibration
Data Collection
Equipment Design
Humans
Models, Statistical
Models, Theoretical
Monitoring, Ambulatory methods
Printing, Three-Dimensional
Reproducibility of Results
Research Design
Accelerometry instrumentation
Micro-Electrical-Mechanical Systems
Monitoring, Ambulatory instrumentation

Language :: English
ISSN :: 2694-0604
Volume :: 2015
Database :: MEDLINE
Journal :: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Publication Type :: Academic Journal
Accession number :: 26736959
Full Text :: https://doi.org/10.1109/EMBC.2015.7319059

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