A threshold-based pattern recognition to filter noise on an embedded on-cell touch panel

Yen Ting Chen; Tseng Yi Chen; Heng Yin Chen; Wei Kuan Shih

A threshold-based pattern recognition to filter noise on an embedded on-cell touch panel

Yen Ting Chen, Tseng Yi Chen, Heng Yin Chen, Wei Kuan Shih

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

¹On-cell touch is a kind of a touchscreen technology which reduces the thickness of display. Based on the architecture of on-cell touchscreen technology, cover glass structures is integrated with touch sensors. Although a one-glass solution can successfully reduces the thickness of display, the sensitivity of touch detection is also decreased because of the integration of cover glass structures and touch sensors. Recently, most solutions increase the sensitivity of touch detection by built-in extra hardware devices such as controller and display-driver IC. However, the extra devices also results in higher cost of production. To resolve this issue, this study proposes an algo-rithm called Threshold-based Pattern Recognition (TPR), which filters touch sensor noises on a on-cell touch panel. For system demonstration, we integrate the proposed algorithm into Linux driver on the Friendly-ARM 210 embedded platform. As the demonstration shows, the proposed algorithm can correctly reflect the coordinates of the on-cell touch panel on the display.

Original language	English
Title of host publication	Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015
Editors	Hamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti, George Jandieri, Gerald Schaefer, Ashu M. G. Solo
Publisher	CSREA Press
Pages	256-257
Number of pages	2
ISBN (Electronic)	1601324049, 9781601324047
State	Published - 2015
Event	2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015 - Las Vegas, United States Duration: 27 Jul 2015 → 30 Jul 2015

Publication series

Name	Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015

Conference

Conference	2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015
Country/Territory	United States
City	Las Vegas
Period	27/07/15 → 30/07/15

Keywords

Embedded system
On-cell touch
Pattern recognition
Sensor noise

Cite this

Chen, Y. T., Chen, T. Y., Chen, H. Y., & Shih, W. K. (2015). A threshold-based pattern recognition to filter noise on an embedded on-cell touch panel. In H. R. Arabnia, L. Deligiannidis, F. G. Tinetti, G. Jandieri, G. Schaefer, & A. M. G. Solo (Eds.), Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015 (pp. 256-257). (Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015). CSREA Press.

Chen, Yen Ting ; Chen, Tseng Yi ; Chen, Heng Yin et al. / A threshold-based pattern recognition to filter noise on an embedded on-cell touch panel. Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015. editor / Hamid R. Arabnia ; Leonidas Deligiannidis ; Fernando G. Tinetti ; George Jandieri ; Gerald Schaefer ; Ashu M. G. Solo. CSREA Press, 2015. pp. 256-257 (Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015).

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title = "A threshold-based pattern recognition to filter noise on an embedded on-cell touch panel",

abstract = "1On-cell touch is a kind of a touchscreen technology which reduces the thickness of display. Based on the architecture of on-cell touchscreen technology, cover glass structures is integrated with touch sensors. Although a one-glass solution can successfully reduces the thickness of display, the sensitivity of touch detection is also decreased because of the integration of cover glass structures and touch sensors. Recently, most solutions increase the sensitivity of touch detection by built-in extra hardware devices such as controller and display-driver IC. However, the extra devices also results in higher cost of production. To resolve this issue, this study proposes an algo-rithm called Threshold-based Pattern Recognition (TPR), which filters touch sensor noises on a on-cell touch panel. For system demonstration, we integrate the proposed algorithm into Linux driver on the Friendly-ARM 210 embedded platform. As the demonstration shows, the proposed algorithm can correctly reflect the coordinates of the on-cell touch panel on the display.",

keywords = "Embedded system, On-cell touch, Pattern recognition, Sensor noise",

author = "Chen, {Yen Ting} and Chen, {Tseng Yi} and Chen, {Heng Yin} and Shih, {Wei Kuan}",

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series = "Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015",

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Chen, YT, Chen, TY, Chen, HY & Shih, WK 2015, A threshold-based pattern recognition to filter noise on an embedded on-cell touch panel. in HR Arabnia, L Deligiannidis, FG Tinetti, G Jandieri, G Schaefer & AMG Solo (eds), Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015. Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, CSREA Press, pp. 256-257, 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015, Las Vegas, United States, 27/07/15.

A threshold-based pattern recognition to filter noise on an embedded on-cell touch panel. / Chen, Yen Ting; Chen, Tseng Yi; Chen, Heng Yin et al.

Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015. ed. / Hamid R. Arabnia; Leonidas Deligiannidis; Fernando G. Tinetti; George Jandieri; Gerald Schaefer; Ashu M. G. Solo. CSREA Press, 2015. p. 256-257 (Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A threshold-based pattern recognition to filter noise on an embedded on-cell touch panel

AU - Chen, Yen Ting

AU - Chen, Tseng Yi

AU - Chen, Heng Yin

AU - Shih, Wei Kuan

PY - 2015

Y1 - 2015

N2 - 1On-cell touch is a kind of a touchscreen technology which reduces the thickness of display. Based on the architecture of on-cell touchscreen technology, cover glass structures is integrated with touch sensors. Although a one-glass solution can successfully reduces the thickness of display, the sensitivity of touch detection is also decreased because of the integration of cover glass structures and touch sensors. Recently, most solutions increase the sensitivity of touch detection by built-in extra hardware devices such as controller and display-driver IC. However, the extra devices also results in higher cost of production. To resolve this issue, this study proposes an algo-rithm called Threshold-based Pattern Recognition (TPR), which filters touch sensor noises on a on-cell touch panel. For system demonstration, we integrate the proposed algorithm into Linux driver on the Friendly-ARM 210 embedded platform. As the demonstration shows, the proposed algorithm can correctly reflect the coordinates of the on-cell touch panel on the display.

AB - 1On-cell touch is a kind of a touchscreen technology which reduces the thickness of display. Based on the architecture of on-cell touchscreen technology, cover glass structures is integrated with touch sensors. Although a one-glass solution can successfully reduces the thickness of display, the sensitivity of touch detection is also decreased because of the integration of cover glass structures and touch sensors. Recently, most solutions increase the sensitivity of touch detection by built-in extra hardware devices such as controller and display-driver IC. However, the extra devices also results in higher cost of production. To resolve this issue, this study proposes an algo-rithm called Threshold-based Pattern Recognition (TPR), which filters touch sensor noises on a on-cell touch panel. For system demonstration, we integrate the proposed algorithm into Linux driver on the Friendly-ARM 210 embedded platform. As the demonstration shows, the proposed algorithm can correctly reflect the coordinates of the on-cell touch panel on the display.

KW - Embedded system

KW - On-cell touch

KW - Pattern recognition

KW - Sensor noise

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BT - Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015

A2 - Arabnia, Hamid R.

A2 - Deligiannidis, Leonidas

A2 - Tinetti, Fernando G.

A2 - Jandieri, George

A2 - Schaefer, Gerald

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PB - CSREA Press

Y2 - 27 July 2015 through 30 July 2015

ER -

Chen YT, Chen TY, Chen HY, Shih WK. A threshold-based pattern recognition to filter noise on an embedded on-cell touch panel. In Arabnia HR, Deligiannidis L, Tinetti FG, Jandieri G, Schaefer G, Solo AMG, editors, Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015. CSREA Press. 2015. p. 256-257. (Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015).

A threshold-based pattern recognition to filter noise on an embedded on-cell touch panel

Abstract

Publication series

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Keywords

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