JILSA  Vol.7 No.1 , February 2015
Experimental Design and Its Posterior Efficiency for the Calibration of Wearable Sensors
Author(s) Lin Ye, Steven W. Su
ABSTRACT
This paper investigates experimental design (DoE) for the calibration of the triaxial accelerometers embedded in a wearable micro Inertial Measurement Unit (μ-IMU). Firstly, a new linearization strategy is proposed for the accelerometer model associated with the so-called autocalibration scheme. Then, an effective Icosahedron design is developed, which can achieve both D-optimality and G-optimality for linearized accelerometer model in ideal experimental settings. However, due to various technical limitations, it is often infeasible for the users of wearable sensors to fully implement the proposed experimental scheme. To assess the efficiency of each individual experiment, an index is given in terms of desired experimental characteristic. The proposed experimental scheme has been applied for the autocalibration of a newly developed μ-IMU.

Cite this paper
Ye, L. and Su, S. (2015) Experimental Design and Its Posterior Efficiency for the Calibration of Wearable Sensors. Journal of Intelligent Learning Systems and Applications, 7, 11-20. doi: 10.4236/jilsa.2015.71002.
References
[1]   Yuwono, M., Moulton, B.D., Su, S.W., Celler, B.G. and Nguyen, H.T. (2002) Unsupervised Machine-Learning Method for Improving the Performance of Ambulatory Fall-Detection Systems. BioMedical Engineering OnLine, 11, 9.http://dx.doi.org/10.1186/1475-925X-11-9

[2]   Banaee, H., Ahmed, M.U. and Loutfi, A. (2013) Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges. Sensors, 13, 17472-17500.
http://dx.doi.org/10.3390/s131217472

[3]   Tao, W., Liu, T., Zheng, R. and Feng, H. (2012) Gait Analysis Using Wearable Sensors. Sensors, 12, 2255-2283.http://dx.doi.org/10.3390/s120202255

[4]   Frosio, I., Stuani, S. and Borghese, N.A. (2006) Autocalibration of MEMS Accelerometer. IEEE Tran-sactions on Instrumentation and Measurement, 58, 2034-2041.
http://dx.doi.org/10.1109/TIM.2008.2006137

[5]   Glueck, M., Oshinubi, D., Schopp, P. and Manoli, Y. (2014) Real-Time Autocalibration of MEMS Acce-lerometers. IEEE Transactions on Instrumentation and Measurement, 63, 96-105.
http://dx.doi.org/10.1109/TIM.2013.2275240

[6]   Frosio, I., Stuani, S. and Borghese, N.A. (2009) Autocalibration of MEMS Accelerometer. IEEE Tran-sactions on Instrumentation and Measurement, 58, 2034-2041.
http://dx.doi.org/10.1109/TIM.2008.2006137

[7]   Won, S., Golnaraghi, F. and Triaxial, A. (2010) Accelerometer Calibration Method Using a Mathe-matical Model. IEEE Transactions on Instrumentation and Measurement, 59, 2144-2153.
http://dx.doi.org/10.1109/TIM.2009.2031849

[8]   Syed, Z., Aggarwal, P., Goodall, C., Niu, X. and El-Sheimy, N. (2007) A New Multi-Position Calibration Method for MEMS Inertial Navigation Systems. Measurement Science and Technology, 18, 1897-1907.
http://dx.doi.org/10.1088/0957-0233/18/7/016

[9]   Khuri, A.I. and Mukhopadhyay, S. (2010) Response Surface Methodology. Wiley Interdisciplinary Reviews: Computational Statistics, 2, 128-149. http://dx.doi.org/10.1002/wics.73

[10]   Montgomery, D.C. (2005) Design and Analysis of Experiments. John Wiley & Sons, Hoboken.

[11]   Myers, R. and Montgomery, D.C. (1995) Response Surface Methodology: Process and Product Optimization Using Designed Experiments. John Wiley & Sons, Hoboken.

[12]   Rojas, C.R., Welsh, J.S., Goodwin, G.C. and Feuer, A. (2007) Robust Optimal Experiment Design for System Identification. Automatica, 43, 993-1008.
http://dx.doi.org/10.1016/j.automatica.2006.12.013

[13]   López-Fidalgo, J. and Garcet-Rodríguez, S.A. (2011) Optimal Experimental Designs When Some Independent Variables Are Not Subject to Control. Journal of the American Statistical Association, 99, 1190-1199.

[14]   Atkinson, A., Donev, A. and Tobias, R. (2007) Optimum Experimental Designs, with SAS. Oxford University Press, Oxford.

[15]   Cook, D. and Fedorov, V. (1995) Constrained Optimization of Experimental Design. Statistics, 26, 129-148. http://dx.doi.org/10.1080/02331889508802474

[16]   Kiefer, J. and Wolfowitz, J. (1962) The Equivalence of Two Extremum Problems. Canadian Journal of Mathematics, 12, 363-366. http://dx.doi.org/10.4153/CJM-1960-030-4

 
 
Top