Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

A Smooth Tracking Algorithm for Capacitive Touch Panels

Authors
Zucheng Zhang, Jupeng Li, Moyu Li
Corresponding Author
Zucheng Zhang
Available Online October 2016.
DOI
https://doi.org/10.2991/ceie-16.2017.73How to use a DOI?
Keywords
Capacitive Touch Panel; Touch Signal Noise; Kalman Filter; Tracking Smoothness
Abstract
Capacitive touch panels (CTPs) have been more popular owing to its excellent interactive performance. However, electronic magnetic interference, display noise and process variation negatively influence the accuracy of predictions of touch positions. A smooth tracking algorithm for capacitance touch panels based on Kalman filter was proposed in this paper. Original touch capacitance data and touch noise characteristic were detected using a micro-controller unit and a sensor integrated circuit. Additionally, the noise of touch trajectory was suppressed by Kalman algorithm timely through process model and measurement model of touch trajectory smooth system. Experimental results indicated that the proposed touch trajectory smooth algorithm has better performance compared to the moving average filtering and wavelet filtering algorithm, and the algorithm can be used to capacitive touch panel systems.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ceie-16.2017.73How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zucheng Zhang
AU  - Jupeng Li
AU  - Moyu Li
PY  - 2016/10
DA  - 2016/10
TI  - A Smooth Tracking Algorithm for Capacitive Touch Panels
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 567
EP  - 572
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.73
DO  - https://doi.org/10.2991/ceie-16.2017.73
ID  - Zhang2016/10
ER  -