TY - JOUR
T1 - Virtual force sensing using smooth stroke reconstruction algorithm for capacitive touch panels
AU - Lin, Chih Lung
AU - Chang, Yi Ming
AU - Chen, Hung Sheng
AU - Li, Chia Sheng
AU - Lin, Alvin
PY - 2013/6
Y1 - 2013/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84905229355&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905229355&partnerID=8YFLogxK
U2 - 10.1002/j.2168-0159.2013.tb06531.x
DO - 10.1002/j.2168-0159.2013.tb06531.x
M3 - Conference article
AN - SCOPUS:84905229355
SN - 0097-966X
VL - 44
SP - 1494
EP - 1497
JO - Digest of Technical Papers - SID International Symposium
JF - Digest of Technical Papers - SID International Symposium
IS - 1
ER -