Design of underwater acoustic touchscreen based on deep convolutional neural network-Reference-Cited by-同舟云学术

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Design of underwater acoustic touchscreen based on deep convolutional neural network

Published:2023-02 Issue: Volume:203 Page:109222
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Wan Haopeng,Chen Jiaming,Li Shuang,Zou Jijie,Jia Kangning,Yuan Peilong,Sun Feiyang,Xu Xiaodong,Cheng Liping,Fan Li,Yan Xuejun,Li Guokuan,Chen Xi,Zhang Haiou

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference33 articles.

1. Touchscreen everywhere: on transferring a normal planar surface to a touch-sensitive display;Dai;IEEE Trans Cybern,2014

2. C. Holz, S. Buthpitiya, and M. Knaust. “Bodyprint: Biometric user identification on mobile devices using the capacitive touchscreen to scan body parts,” in Proceedings of the 33rd annual ACM conference on human factors in computing systems. 2015. pp. 3011-3014.

3. Compressive sensing for sparse touch detection on capacitive touch screens;Luo;IEEE J Emerging Sel Top Circuits Syst,2012

4. Turn any display into a touch screen using infrared optical technique;Liang;IEEE Access,2018

5. Using resistive touch screens for human/machine interface;Downs;Analog Applications Journal Q,2005

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