Abstract
This paper presents a novel 7-in capacitive touch panel (CTP) system with a smooth tracking algorithm that accurately estimates the position where the panel is touched and tracks the trajectory of touch. The proposed CTP system consists of a microcontroller unit, a sensor IC, and an interface board. When a user draws at different speeds, the measurement noise caused by the sensor IC induces an error in the touched position and zigzag trajectory, especially when the motion is slow. The fuzzy-logic-based adaptive strong tracking Kalman filter method is implemented in a CTP system to mitigate the effect of measurement noise and provide a smooth tracking trajectory at different speeds. Moreover, the approach effectively measures and quantifies the 'smoothness' of the touched trajectory. Experimental results indicate that the proposed method reduces the measurement noise and decreases the mean tracking error by 85.4% over that achieved using the moving average filter.
| Original language | English |
|---|---|
| Article number | 7027798 |
| Pages (from-to) | 5097-5108 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Industrial Electronics |
| Volume | 62 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2015 Aug 1 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering
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Position Estimation and Smooth Tracking with a Fuzzy-Logic-Based Adaptive Strong Tracking Kalman Filter for Capacitive Touch Panels. / Lin, Chih Lung; Chang, Yi Ming; Hung, Chia Che; Tu, Chun Da; Chuang, Cheng Yan.
In: IEEE Transactions on Industrial Electronics, Vol. 62, No. 8, 7027798, 01.08.2015, p. 5097-5108.Research output: Contribution to journal › Article
TY - JOUR
T1 - Position Estimation and Smooth Tracking with a Fuzzy-Logic-Based Adaptive Strong Tracking Kalman Filter for Capacitive Touch Panels
AU - Lin, Chih Lung
AU - Chang, Yi Ming
AU - Hung, Chia Che
AU - Tu, Chun Da
AU - Chuang, Cheng Yan
PY - 2015/8/1
Y1 - 2015/8/1
N2 - This paper presents a novel 7-in capacitive touch panel (CTP) system with a smooth tracking algorithm that accurately estimates the position where the panel is touched and tracks the trajectory of touch. The proposed CTP system consists of a microcontroller unit, a sensor IC, and an interface board. When a user draws at different speeds, the measurement noise caused by the sensor IC induces an error in the touched position and zigzag trajectory, especially when the motion is slow. The fuzzy-logic-based adaptive strong tracking Kalman filter method is implemented in a CTP system to mitigate the effect of measurement noise and provide a smooth tracking trajectory at different speeds. Moreover, the approach effectively measures and quantifies the 'smoothness' of the touched trajectory. Experimental results indicate that the proposed method reduces the measurement noise and decreases the mean tracking error by 85.4% over that achieved using the moving average filter.
AB - This paper presents a novel 7-in capacitive touch panel (CTP) system with a smooth tracking algorithm that accurately estimates the position where the panel is touched and tracks the trajectory of touch. The proposed CTP system consists of a microcontroller unit, a sensor IC, and an interface board. When a user draws at different speeds, the measurement noise caused by the sensor IC induces an error in the touched position and zigzag trajectory, especially when the motion is slow. The fuzzy-logic-based adaptive strong tracking Kalman filter method is implemented in a CTP system to mitigate the effect of measurement noise and provide a smooth tracking trajectory at different speeds. Moreover, the approach effectively measures and quantifies the 'smoothness' of the touched trajectory. Experimental results indicate that the proposed method reduces the measurement noise and decreases the mean tracking error by 85.4% over that achieved using the moving average filter.
UR - http://www.scopus.com/inward/record.url?scp=84934343029&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84934343029&partnerID=8YFLogxK
U2 - 10.1109/TIE.2015.2396874
DO - 10.1109/TIE.2015.2396874
M3 - Article
AN - SCOPUS:84934343029
VL - 62
SP - 5097
EP - 5108
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
SN - 0278-0046
IS - 8
M1 - 7027798
ER -