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Fluorescent Lamp Effect Correction on Capacitive Touch Panel by Timely Update Predicted Covariance Matrix | IEEE Journals & Magazine | IEEE Xplore

Fluorescent Lamp Effect Correction on Capacitive Touch Panel by Timely Update Predicted Covariance Matrix


Abstract:

This paper proposes an adaptive Kalman filter (AKF) control algorithm for capacitive touch panels under the radiation effect of a commercial fluorescent lamp. The predict...Show More

Abstract:

This paper proposes an adaptive Kalman filter (AKF) control algorithm for capacitive touch panels under the radiation effect of a commercial fluorescent lamp. The predicted covariance matrix of the proposed algorithm is timely updated by two-dimensional gesture compensation. It adaptively adjusts the filter correction manner between fast tracking and smoothing modes. The trajectory area and velocity concept builds up the compensation method and proves in real-time practice by a microprocessor unit. The electromagnetic radiation effect is investigated to obtain the lamp emission noise level. A comprehensive system structure provides the flexibility and efficiency in competing with different algorithms for comparison. A microprocessor unit completed the AKF method calculation in 8.23 ms under fluorescent lamp lightening condition in real time. All Python environments are implemented in the merit of hardware peripheral support, rich programming environments, and open source modules.
Published in: IEEE Transactions on Industrial Electronics ( Volume: 66, Issue: 7, July 2019)
Page(s): 5508 - 5515
Date of Publication: 11 September 2018

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