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Error backpropagation neural calibration and Kalman filter position estimation for touch panels

By: Han-Chang Lin; Ching-Chih Tsai; Chih-Chang Lai;

2004 / IEEE / 0-7803-8660-4

Description

This item was taken from the IEEE Conference ' Error backpropagation neural calibration and Kalman filter position estimation for touch panels ' This work develops a methodology and technique for calibration and dynamic touching position estimation of touch panels using error backpropagation neural networks (EBPNN) and Kalman filter. A neural-based calibration method is presented to determine the nonlinear mapping relationships of the measured and known touch points, and then calibrate their positions in a real-time manner. In order to obtain position estimation of fast moving points in the drawing mode, a Kalman filtering scheme is proposed to achieve a satisfactory precision.