Noise analysis of infrared touch overlay and its application on Kalman filter

AiGuo Zhou; QiangBiao Pan; ShuYi Cheng; DongYu Sun

doi:10.1117/12.2214431

26 January 2016 Noise analysis of infrared touch overlay and its application on Kalman filter

AiGuo Zhou, QiangBiao Pan, ShuYi Cheng, DongYu Sun

Proceedings Volume 9903, Seventh International Symposium on Precision Mechanical Measurements; 990323 (2016) https://doi.org/10.1117/12.2214431
Event: Seventh International Symposium on Precision Mechanical Measurements, 2015, Xia'men, China

Abstract

Infrared touch overlay has some problems in multi-touch recognition and trajectory smoothness. In order to deal with these problems, this paper adjusts the Kalman filter for infrared touch overlay. Before the application, it estimates the noise of process and measurement. It analyzes the process noise and measurement noise from test of three different touch trajectories. And then the paper choses the proper parameter for the Kalman filter on infrared touch overlay. The experimental results demonstrate that the Kalman filter with the noise parameter works much better in filtering of the infrared touch overlay's track, compared to the original recognition algorithm.

Citation Download Citation

AiGuo Zhou, QiangBiao Pan, ShuYi Cheng, and DongYu Sun "Noise analysis of infrared touch overlay and its application on Kalman filter", Proc. SPIE 9903, Seventh International Symposium on Precision Mechanical Measurements, 990323 (26 January 2016); https://doi.org/10.1117/12.2214431

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