Position smoothing algorithm for capacitive touch panels

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper adopts fuzzy Kalman filter algorithm for eliminating noise of touch panel measurements, providing accurate estimated position and smooth tracking points. The fuzzy filter method is used to reduce unavoidable noise of measurement. In order to obtain real-time, smooth tracking of touch points, the Kalman filter is utilized to achieve more precise accuracy of the estimated position. Experimental results demonstrate the effectiveness of both algorithms for capacitive touch screen panel systems.

Original languageEnglish
Title of host publicationSociety for Information Display - 19th International Display Workshops 2012, IDW/AD 2012
Number of pages4
Publication statusPublished - 2012 Dec 1
Event19th International Display Workshops in Conjunction with Asia Display 2012, IDW/AD 2012 - Kyoto, Japan
Duration: 2012 Dec 42012 Dec 7

Publication series

NameProceedings of the International Display Workshops
ISSN (Print)1883-2490


Other19th International Display Workshops in Conjunction with Asia Display 2012, IDW/AD 2012

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Radiology Nuclear Medicine and imaging

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