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).
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Electrical and Electronic Engineering