{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:05:18Z","timestamp":1775228718178,"version":"3.50.1"},"reference-count":207,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2021,7,13]],"date-time":"2021-07-13T00:00:00Z","timestamp":1626134400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT \\&amp; Future Planning","award":["RF-2016R1A2B4009787"],"award-info":[{"award-number":["RF-2016R1A2B4009787"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s21144776","type":"journal-article","created":{"date-parts":[[2021,7,13]],"date-time":"2021-07-13T22:25:31Z","timestamp":1626215131000},"page":"4776","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":53,"title":["Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1646-7954","authenticated-orcid":false,"given":"Hyoungsik","family":"Nam","sequence":"first","affiliation":[{"name":"Department of Information Display, Kyung Hee University, Seoul 02447, Korea"}]},{"given":"Ki-Hyuk","family":"Seol","sequence":"additional","affiliation":[{"name":"Department of Information Display, Kyung Hee University, Seoul 02447, Korea"}]},{"given":"Junhee","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Information Display, Kyung Hee University, Seoul 02447, Korea"}]},{"given":"Hyeonseong","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Information Display, Kyung Hee University, Seoul 02447, Korea"}]},{"given":"Sang Won","family":"Jung","sequence":"additional","affiliation":[{"name":"Department of Information Display, Kyung Hee University, Seoul 02447, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1049\/ep.1968.0100","article-title":"Cathode-ray-tube display systems","volume":"14","author":"Cundall","year":"1968","journal-title":"Electron. 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