Read full paper at:
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53927#.VNxhYCzQrzE
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53927#.VNxhYCzQrzE
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.
KEYWORDS
Wearable Health Monitoring, IMU, Triaxial Accelerometer, Autocalibration, DoE, Modelling, Linerization
Cite this paper
References
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.
[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 eww150212lx |
评论
发表评论