Journal of Intelligent Learning Systems and Applications

Volume 7, Issue 1 (February 2015)

ISSN Print: 2150-8402   ISSN Online: 2150-8410

Google-based Impact Factor: 1.5  Citations  

Experimental Design and Its Posterior Efficiency for the Calibration of Wearable Sensors

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DOI: 10.4236/jilsa.2015.71002    4,509 Downloads   5,447 Views  Citations
Author(s)

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.

Share and Cite:

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.

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[4] Auto-Calibration and Fault Detection and Isolation of Skewed Redundant Accelerometers in Measurement While Drilling Systems
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[5] An Efficient Autocalibration Method for Triaxial Accelerometer
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[6] Online auto-calibration of triaxial accelerometer with time-variant model structures
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[8] Optimum Experimental Design applied to MEMS accelerometer calibration for 9-parameter auto-calibration model
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[9] Experimental design for the calibration of tri-axial Magnetometers
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