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Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches

Authors :
Hyoungsik Nam
Ki-Hyuk Seol
Junhee Lee
Hyeonseong Cho
Sang Won Jung
Source :
Sensors, Vol 21, Iss 14, p 4776 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Touchscreens have been studied and developed for a long time to provide user-friendly and intuitive interfaces on displays. This paper describes the touchscreen technologies in four categories of resistive, capacitive, acoustic wave, and optical methods. Then, it addresses the main studies of SNR improvement and stylus support on the capacitive touchscreens that have been widely adopted in most consumer electronics such as smartphones, tablet PCs, and notebook PCs. In addition, the machine learning approaches for capacitive touchscreens are explained in four applications of user identification/authentication, gesture detection, accuracy improvement, and input discrimination.

Details

Language :
English
ISSN :
14248220
Volume :
21
Issue :
14
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.9bb1cc444209482b9498ab0650305348
Document Type :
article
Full Text :
https://doi.org/10.3390/s21144776