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

Ye, L; Su, SW

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

Ye, L Su, SW

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2015, 2015-November pp. 3145 - 3148
Issue Date:: 2015-11-04

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Field	Value	Language
dc.contributor.author	Ye, L	en_US
dc.contributor.author	Su, SW https://orcid.org/0000-0002-5720-8852	en_US
dc.date.issued	2015-11-04	en_US
dc.identifier.citation	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2015, 2015-November pp. 3145 - 3148	en_US
dc.identifier.isbn	9781424492718	en_US
dc.identifier.issn	1557-170X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/37141
dc.identifier.uri	http://hdl.handle.net/10453/37235
dc.description.abstract	© 2015 IEEE. 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.	en_US
dc.relation.ispartof	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS	en_US
dc.relation.isbasedon	10.1109/EMBC.2015.7319059	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Monitoring, Ambulatory	en_US
dc.subject.mesh	Calibration	en_US
dc.subject.mesh	Data Collection	en_US
dc.subject.mesh	Models, Statistical	en_US
dc.subject.mesh	Reproducibility of Results	en_US
dc.subject.mesh	Equipment Design	en_US
dc.subject.mesh	Algorithms	en_US
dc.subject.mesh	Models, Theoretical	en_US
dc.subject.mesh	Research Design	en_US
dc.subject.mesh	Micro-Electrical-Mechanical Systems	en_US
dc.subject.mesh	Accelerometry	en_US
dc.subject.mesh	Printing, Three-Dimensional	en_US
dc.title	Optimum Experimental Design applied to MEMS accelerometer calibration for 9-parameter auto-calibration model	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2015-November	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0903 Biomedical Engineering	en_US
dc.location.activity	Milan, Italy
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	2015-November	en_US

Abstract:

© 2015 IEEE. 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.

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http://hdl.handle.net/10453/37141