3D stylus and pressure sensing system for capacitive touch panel

Lin, Chin‐Tarng; Li, Chia-Sheng; Chang, Yi-Ming; Hung, YChia-Che; Lin, Alvin

doi:10.1109/icce.2012.6161835

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…Based on KF, Miñarro et al estimated the position and velocity in the INS and GPS systems [16]. Despite the effectiveness of KF in suppressing the noise and accurately evaluating the touched positions in CTP [17]- [19], the performance of the KF method depends on precise prior knowledge of the process noise covariance matrix (Q) and the measurement noise covariance matrix (R) [20]- [21]. Under touch conditions, the measurement noise varies with the movement speed of the touch: a high speed produces less noise because few sampling points are found in a fixed distance, and vice versa.…”

Section: Introductionmentioning

confidence: 99%

Position Estimation and Smooth Tracking With a Fuzzy-Logic-Based Adaptive Strong Tracking Kalman Filter for Capacitive Touch Panels

Lin

Chang

Hung

et al. 2015

IEEE Trans. Ind. Electron.

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This work presents a novel 7-inch 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 micro-controller unit, sensor IC, and 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 (FLASTKF) 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 (MAF).Index Terms-Capacitive touch panel, Kalman filter, fuzzy logic system, strong tracking Kalman filter.

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Section: Introductionmentioning

confidence: 99%

Position Estimation and Smooth Tracking With a Fuzzy-Logic-Based Adaptive Strong Tracking Kalman Filter for Capacitive Touch Panels

Lin

Chang

Hung

et al. 2015

IEEE Trans. Ind. Electron.

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“…Since touch panels are widely equipped in mobile phones, sensing of input force from the interactive surface has been a hot spot of touch technology in the past years. Several technical solutions have been put into application, for example, the electromagnetic touch panel achieved with a pressure sensitive digitizer [1], and the pressure estimation technique by measuring the contact area on touch panel [2]. However, these technologies are not widely accepted either for increased cost or for relatively low accuracy.…”

Section: Introductionmentioning

confidence: 99%

83‐2: Liquid Crystal Display Panel with Piezoresistive Sensors Integrated

Yao

Liu

et al. 2018

Symp Digest of Tech Papers

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A novel solution for integrating force sensors into a Liquid Crystal Display panel is proposed. Piezoresistive sensors with high sensitivity were fabricated in the peripheral area of a 5.5" FHD LTPS display panel. . As a result, a more compact LCD panel with integrated force sensing function is enabled. KeywordsForce sensor, piezoresistive effect, strain gauge, Wheatstone bridge, LTPS, in-cell touch panel.

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“…The unit is centimeter. Where l 1 [cm] is the distance from finger (T) to ultrasonic sensor at S 1 , l 2 [cm] is the distance from finger (T) to ultrasonic sensor at S 2 , and l 3 [cm] is the distance from finger (T) to ultrasonic sensor at S 3.…”

Section: Deriving Of Three Dimension Coordinates (A) Position Of Ultrmentioning

confidence: 99%

“…Therefore, it is thought that a three dimension operating device (2,3) is needed for sending an instruction to these products in the near future. Currently, three dimension operating devices that have been reported include a remote controller that treat the person's hand movement as an instruction (4,5) and a three dimension space touch panel.…”

Section: Introductionmentioning

confidence: 99%

Guided Depth Image Filter-based Image Feathering

Li¹,

Lu²,

Yang

2013

The Proceedings of the 1st International Conference on Industrial Application Engineering 2013

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We propose three dimension virtual space touch panel that can be intuitively operated by moving the finger. In this research, three ultrasonic sensors are installed in the ceiling. Then, three dimension coordinates of the finger are specified by measuring the distance of each ultrasonic sensor from the finger. The simulation shows a good performance and accuracy. It is aimed to be used for 3D device operation.

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3D stylus and pressure sensing system for capacitive touch panel

Cited by 7 publications

References 6 publications

Position Estimation and Smooth Tracking With a Fuzzy-Logic-Based Adaptive Strong Tracking Kalman Filter for Capacitive Touch Panels

Position Estimation and Smooth Tracking With a Fuzzy-Logic-Based Adaptive Strong Tracking Kalman Filter for Capacitive Touch Panels

83‐2: Liquid Crystal Display Panel with Piezoresistive Sensors Integrated

Guided Depth Image Filter-based Image Feathering

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