An optimal algorithm based on extended kalman filter and the data fusion for infrared touch overlay

AiGuo Zhou; ShuYi Cheng; Qiang Biao Pan; Dong Yu Sun

doi:10.1117/12.2218681

26 January 2016 An optimal algorithm based on extended kalman filter and the data fusion for infrared touch overlay

AiGuo Zhou, ShuYi Cheng, Qiang Biao Pan, Dong Yu Sun

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available