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P.128: Virtual Force Sensing Using Smooth Stroke Reconstruction Algorithm for Capacitive Touch Panels
Author(s) -
Lin ChihLung,
Chang YiMing,
Chen HungSheng,
Li ChiaSheng,
Lin Alvin
Publication year - 2013
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/j.2168-0159.2013.tb06531.x
Subject(s) - stylus , signal (programming language) , capacitive sensing , kalman filter , computer science , computer vision , noise (video) , artificial intelligence , algorithm , image (mathematics) , programming language , operating system
This work adopts a method to detect the force signal from z‐directional with a stylus and finger for capacitive touch panels (CTPs). To obtain the accuracy of force signal, the Kalman filter (KF) is utilized to reduce the noise of force signal. Moreover, the directional weighted method is used to achieve the smooth drawing and stroke reconstruction after processing force signal by the KF algorithm. The experiment results demonstrate the effectiveness of drawing and stroke reconstruction with both stylus and finger.