TITLE:
Experimental Design and Its Posterior Efficiency for the Calibration of Wearable Sensors
AUTHORS:
Lin Ye, Steven W. Su
KEYWORDS:
Wearable Health Monitoring, IMU, Triaxial Accelerometer, Autocalibration, DoE, Modelling, Linerization
JOURNAL NAME:
Journal of Intelligent Learning Systems and Applications,
Vol.7 No.1,
February
11,
2015
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.