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Error backpropagation neural calibration and Kalman filter position estimation for touch panels
2004 / IEEE / 0-7803-8660-4
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.
Neural Net Architecture
Error Backpropagation Neural Networks
Kalman Filtering Method
Dynamic Touching Position Estimation
Nonlinear Mapping Relationships
Touch Point Measurement
Electrical Resistance Measurement
Coordinate Measuring Machines
Touch Sensitive Screens
Neural Based Calibration Method