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P‐55: An Optimizing Finger Separation Method with Machine Learning Algorithm used In‐Cell Capacitive Touch Panel.

Authors :
Chao, Ching-Yao
Wu, Ming-Hsiu
Liu, Hua-Wei
Lee, Chin-Lin
Lai, Chih-Chang
Chou, Chun-Yi
Lin, Ching-Chun
Source :
SID Symposium Digest of Technical Papers; Jun2024, Vol. 55 Issue 1, p1589-1592, 4p
Publication Year :
2024

Abstract

In this paper, we utilized machine learning techniques to perform finger separation recognition. The research results show that using the machine learning method proposed in this article, in combination with Novatek TDDI NT36523 tablet TDDI IC, it can largely improve the resolution of finger enumeration, especially when two fingers are very close together. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
MACHINE learning
FINGERS

Details

Language :
English
ISSN :
0097966X
Volume :
55
Issue :
1
Database :
Complementary Index
Journal :
SID Symposium Digest of Technical Papers
Publication Type :
Academic Journal
Accession number :
178715678
Full Text :
https://doi.org/10.1002/sdtp.17864