Virtual force sensing using smooth stroke reconstruction algorithm for capacitive touch panels

Chih Lung Lin, Yi Ming Chang, Hung Sheng Chen, Chia Sheng Li, Alvin Lin

Research output: Contribution to journalConference articlepeer-review

Abstract

This work adopts a method to detect the force signal from z-directional with a stylus and finger for capacitive touch panels (CTPs). To obtain the accuracy of force signal, the Kalman filter (KF) is utilized to reduce the noise of force signal. Moreover, the directional weighted method is used to achieve the smooth drawing and stroke reconstruction after processing force signal by the KF algorithm. The experiment results demonstrate the effectiveness of drawing and stroke reconstruction with both stylus and finger.

Original languageEnglish
Pages (from-to)1494-1497
Number of pages4
JournalDigest of Technical Papers - SID International Symposium
Volume44
Issue number1
DOIs
Publication statusPublished - 2013 Jun

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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