Tracking Touched Trajectory on Capacitive Touch Panels Using an Adjustable Weighted Prediction Covariance Matrix

Chih Lung Lin, Ting Ching Chu, Chia En Wu, Yi Ming Chang, Tsung Chih Lin, Jiann Fuh Chen, Cheng Yan Chuang, Wen Chin Chiu

研究成果: Article同行評審

16 引文 斯高帕斯(Scopus)

摘要

This study presents a smooth tracking algorithm for a proposed capacitive touch panel system that consists of a 7-in panel, a microcontroller unit, a sensor IC, an interface board, and a laptop computer. The proposed adaptive Kalman filter (AKF) algorithm is capable of reducing the complexity of the computation by the processor and the effect of unstable measurement noise on zigzag trajectory as the speed of the tracked trajectory varies. Experimental results indicate that the various reporting rates decrease estimative ability of touched position, which is solved by using an AKF method to achieve the accurate estimation of touched position. The results also demonstrate that the proposed method can accurately match the reference trajectory compared with the trajectories of the moving average filter and the Kalman filter. The root-mean-square errors of the proposed AKF method are all lower than 0.5 cm under the specifications of various movement speeds and reporting rates.

原文English
文章編號7857088
頁(從 - 到)4910-4916
頁數7
期刊IEEE Transactions on Industrial Electronics
64
發行號6
DOIs
出版狀態Published - 2017 6月

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 電氣與電子工程

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