Position Tracking Based on Particle Filter for Self-Capacitance Single-Touch Screen Panels

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).