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

Lin Ye, Steven W. Su

Centre for Health Technologies, Faculty of Engineering and IT, University of Technology, Sydney, Australia.

DOI: 10.4236/jilsa.2015.71002                

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

Conflicts of Interest

The authors declare no conflicts of interest.

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