Position Estimation and Smooth Tracking With a Fuzzy-Logic-Based Adaptive Strong Tracking Kalman Filter for Capacitive Touch Panels
作者： Chih-Lung Lin , Yi-Ming Chang , Chia-Che Hung , Chun-Da Tu , Cheng-Yan Chuang
关键词: Extended Kalman filter 、 Control theory 、 Trajectory 、 Tracking error 、 Fast Kalman filter 、 Noise 、 Noise measurement 、 Engineering 、 Capacitive sensing 、 Kalman filter
摘要: This paper presents a novel 7-in capacitive touch panel (CTP) system with smooth tracking algorithm that accurately estimates the position where is touched and tracks trajectory of touch. The proposed CTP consists microcontroller unit, sensor IC, an interface board. When user draws at different speeds, measurement noise caused by IC induces error in zigzag trajectory, especially when motion slow. fuzzy-logic-based adaptive strong Kalman filter method implemented to mitigate effect provide speeds. Moreover, approach effectively measures quantifies “smoothness” trajectory. Experimental results indicate reduces decreases mean 85.4% over achieved using moving average filter.
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