A Machine-Learning-Based Touch Orientation Detection Method for Piezoelectric Touch Sensing in Noisy Environment

Lü, Yanwu; Cui, Ziang; Guo, Rong; Xu, Lijun; Gao, Shuo

doi:10.1109/jsen.2021.3065525

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2021

2024

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Cited by 4 publications

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“…Nevertheless, as the data in the study are collected in the lab, the accuracy of the technique may decrease in practical use because environmental noise will pollute the data. To address this issue, in [ 47 ], a noise robustness technique is presented. Different levels of noise are added to the training data to simulate the noisy environment.…”

Section: Conventional Applications and Discussionmentioning

confidence: 99%

Piezoelectric Based Touch Sensing for Interactive Displays—A Short Review

Liu

2021

Materials

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Interactive display is an important part of electronic devices. It is widely used in smartphones, laptops, and industrial equipment. To achieve 3-dimensional detection, the piezoelectric touch panel gains great popularity for its advantages of high sensitivity, low cost, and simple structure. In order to help readers understand the basic principles and the current technical status, this article introduces the work principles of the piezoelectric touch panel, widely-used piezoelectric materials and their characteristics, as well as the applications of the piezoelectric touch panel. The challenges and future trends are also discussed.

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Section: Conventional Applications and Discussionmentioning

confidence: 99%