Abstract
This work presents a novel particle filter (PF) method to track
nonlinear and non-Gaussian dynamic state-space models (DSSMs) for
a capacitive touch panel system to achieve an accurate touch position
and smooth trajectory when the touch movement changes rapidly with
a nonlinear trajectory. Touched positions in the axis-intersect method
are also detected using a micro-controller unit (MCU) and a sensor
integrated circuit (IC). Additionally, the proposed PF method is designed
to achieve the trajectory tracking of calculated positions timely.
Experimental results demonstrate that the proposed PF method offers
a better root mean square error (RMSE) of linear and nonlinear tracking
trajectories than that of the Kalman filter (KF) based on the capacitive
touch panel (CTP).
© 2014 IEEE
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