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26 January 2016 An optimal algorithm based on extended kalman filter and the data fusion for infrared touch overlay
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Proceedings Volume 9903, Seventh International Symposium on Precision Mechanical Measurements; 990332 (2016) https://doi.org/10.1117/12.2218681
Event: Seventh International Symposium on Precision Mechanical Measurements, 2015, Xia'men, China
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.
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AiGuo Zhou, ShuYi Cheng, Qiang Biao Pan, and Dong Yu Sun "An optimal algorithm based on extended kalman filter and the data fusion for infrared touch overlay", Proc. SPIE 9903, Seventh International Symposium on Precision Mechanical Measurements, 990332 (26 January 2016); https://doi.org/10.1117/12.2218681
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