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

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.