Efficient algorithm for accurate touch detection of large touch screen panels

Mohamed, M. G. A.; Jang, Unyong; Seo, Incheol; Kim, HyungWon; Cho, Tae-Won

doi:10.1109/isce.2014.6884376

Cited by 15 publications

(7 citation statements)

References 1 publication

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“…Mutual capacitance touch screen panels are susceptible to noise, so much of research has been focused on how to reduce the noise and increase the touch signal strength [11,12] by single-line driving differential sensing (SDDS). While there are software algorithm approaches [13][14][15], many papers proposed circuitlevel approaches to address the noise reduction problem [16,17]. Frame scan rate has been solved for small-and medium-size screens by different driving methods [12].…”

Section: Introductionmentioning

confidence: 99%

Concurrent Driving Method with Fast Scan Rate for Large Mutual Capacitance Touch Screens

Mohamed

Kim

2015

Journal of Sensors

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A novel touch screen control technique is introduced, which scans each frame in two steps of concurrent multichannel driving and differential sensing. The proposed technique substantially increases the scan rate and reduces the ambient noise effectively. It is also extended to a multichip architecture to support excessively large touch screens with great scan rate improvement. The proposed method has been implemented using 0.18 μm CMOS TowerJazz process and tested with FPGA and AFE board connecting a 23-inch touch screen. Experimental results show a scan rate improvement of up to 23.8 times and an SNR improvement of 24.6 dB over the conventional method.

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Section: Introductionmentioning

confidence: 99%

Concurrent Driving Method with Fast Scan Rate for Large Mutual Capacitance Touch Screens

Mohamed

Kim

2015

Journal of Sensors

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“…In this paper, a technique to reduce common-mode noise and global multi-valued offset is proposed and implemented. In the proposed technique, the data associated with the whole frame after each scanning action is treated as an image [9]- [11]. Each electrode intersection constitutes a pixel and provides a voltage value.…”

Section: Introductionmentioning

confidence: 99%

Reduction of Common Mode Noise and Global Multivalued Offset in Touch Screen Systems by Correlated Double Sampling

Gao

Lai

Micou

et al. 2016

J. Display Technol.

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Touch based interactivity has become an important function in displays. This paper reports on the signal processing of touch signals in which touch interactivity is processed as an image and correlated double sampling (CDS) algorithm is applied for both common-mode noise reduction and global multi-valued offset cancellation. Based on experimental results, we achieved a boost in SNR of 7.6dB. The processed signal reduces detection errors and power consumption of the system.

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“…While there are software algorithm approaches [11][12][13][14][15] , many papers proposed circuit hardware approaches to address the noise reduction problem.…”

Section: ⅰ Introductionmentioning

confidence: 99%

A Fast Sensing Method using Concurrent Driving and Sequential Sensing for Large Capacitance Touch Screens

Mohamed¹,

Kim²,

Cho³

2015

Journal of the Institute of Electronics and Information Enginee

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Recently the demand for projected capacitance touch screens is sharply growing especially for large screens for medical devices, PC monitors and TVs. Large touch screens in general need a controller of higher complexity. They usually have a larger number of driving and sensing lines, and hence it takes longer to scan one frame for touch detection leading to a low frame scan rate. In this paper, a novel touch screen control technique is presented, which scans each frame in two steps of simultaneous multi-channel driving. The first step is to drive all driving lines simultaneously and determine which sensing lines have any touch. The second step is to sequentially rescan only the touched sensing lines, and determine exact positions of the touches. This technique can substantially increase the frame scan rate. This technique has been implemented using an FPGA and an AFE board, and tested using a commercial 23-inch touch screen panel. Experimental results show that the proposed technique improves the frame scan rate by 8.4 times for the 23-inch touch screen panel over conventional methods.

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Efficient algorithm for accurate touch detection of large touch screen panels

Cited by 15 publications

References 1 publication

Concurrent Driving Method with Fast Scan Rate for Large Mutual Capacitance Touch Screens

Concurrent Driving Method with Fast Scan Rate for Large Mutual Capacitance Touch Screens

Reduction of Common Mode Noise and Global Multivalued Offset in Touch Screen Systems by Correlated Double Sampling

A Fast Sensing Method using Concurrent Driving and Sequential Sensing for Large Capacitance Touch Screens

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