Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches
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 im...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-07-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/14/4776 |
| _version_ | 1797526068603650048 |
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| author | Hyoungsik Nam Ki-Hyuk Seol Junhee Lee Hyeonseong Cho Sang Won Jung |
| author_facet | Hyoungsik Nam Ki-Hyuk Seol Junhee Lee Hyeonseong Cho Sang Won Jung |
| author_sort | Hyoungsik Nam |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T09:24:53Z |
| format | Article |
| id | doaj.art-9bb1cc444209482b9498ab0650305348 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T09:24:53Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9bb1cc444209482b9498ab06503053482023-11-22T04:55:52ZengMDPI AGSensors1424-82202021-07-012114477610.3390/s21144776Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning ApproachesHyoungsik Nam0Ki-Hyuk Seol1Junhee Lee2Hyeonseong Cho3Sang Won Jung4Department of Information Display, Kyung Hee University, Seoul 02447, KoreaDepartment of Information Display, Kyung Hee University, Seoul 02447, KoreaDepartment of Information Display, Kyung Hee University, Seoul 02447, KoreaDepartment of Information Display, Kyung Hee University, Seoul 02447, KoreaDepartment of Information Display, Kyung Hee University, Seoul 02447, KoreaTouchscreens 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.https://www.mdpi.com/1424-8220/21/14/4776touchscreencapacitivedisplaySNRstylusmachine learning |
| spellingShingle | Hyoungsik Nam Ki-Hyuk Seol Junhee Lee Hyeonseong Cho Sang Won Jung Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches Sensors touchscreen capacitive display SNR stylus machine learning |
| title | Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches |
| title_full | Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches |
| title_fullStr | Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches |
| title_full_unstemmed | Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches |
| title_short | Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches |
| title_sort | review of capacitive touchscreen technologies overview research trends and machine learning approaches |
| topic | touchscreen capacitive display SNR stylus machine learning |
| url | https://www.mdpi.com/1424-8220/21/14/4776 |
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