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Proceedings Paper

An optimal algorithm based on extended kalman filter and the data fusion for infrared touch overlay
Author(s): AiGuo Zhou; ShuYi Cheng; Qiang Biao Pan; Dong Yu Sun
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Paper Abstract

Current infrared touch overlay has problems on the touch point recognition which bring some burrs on the touch trajectory. This paper uses the target tracking algorithm to improve the recognition and smoothness of infrared touch overlay. In order to deal with the nonlinear state estimate problem for touch point tracking, we use the extended Kalman filter in the target tracking algorithm. And we also use the data fusion algorithm to match the estimate value with the original target trajectory. The experimental results of the infrared touch overlay demonstrate that the proposed target tracking approach can improve the touch point recognition of the infrared touch overlay and achieve much smoother tracking trajectory than the existing tracking approach.

Paper Details

Date Published: 26 January 2016
PDF: 8 pages
Proc. SPIE 9903, Seventh International Symposium on Precision Mechanical Measurements, 990332 (26 January 2016); doi: 10.1117/12.2218681
Show Author Affiliations
AiGuo Zhou, Tongji Univ. (China)
ShuYi Cheng, Univ. of Shanghai For Science and Technology (China)
Qiang Biao Pan, Tongji Univ. (China)
Dong Yu Sun, Soochow Univ. (China)


Published in SPIE Proceedings Vol. 9903:
Seventh International Symposium on Precision Mechanical Measurements
Liandong Yu, Editor(s)

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