High force sensing accuracy in piezoelectric based interactive displays by artificial neural networks

Shuo Gao; Jifang Duan; Zhicheng Wei; Arokia Nathan

doi:10.1002/sdtp.12443

High force sensing accuracy in piezoelectric based interactive displays by artificial neural networks

Shuo Gao
, Jifang Duan^*
, Zhicheng Wei
, Arokia Nathan

^*此作品的通讯作者

仪器科学与光电工程学院

University College London
Hebei Normal University
University of Cambridge

科研成果: 期刊稿件 › 会议文章 › 同行评审

2 引用（Scopus）

摘要

Over panel stress non-uniformity strongly limits the detection accuracy of piezo based force sensing in interactive displays. In this work, nested artificial neural networks based technique is presented to address the issue of stress non-uniformity. High detection accuracy in terms of touch position and force amplitude is demonstrated by the proposed technique.

源语言	英语
页（从-至）	1893-1894
页数	2
期刊	Digest of Technical Papers - SID International Symposium
卷	49
期	1
DOI	https://doi.org/10.1002/sdtp.12443
出版状态	已出版 - 2018
活动	SID Symposium, Seminar, and Exhibition 2018, Display Week 2018 - Los Angeles, 美国期限: 20 5月 2018 → 25 5月 2018

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title = "High force sensing accuracy in piezoelectric based interactive displays by artificial neural networks",

abstract = "Over panel stress non-uniformity strongly limits the detection accuracy of piezo based force sensing in interactive displays. In this work, nested artificial neural networks based technique is presented to address the issue of stress non-uniformity. High detection accuracy in terms of touch position and force amplitude is demonstrated by the proposed technique.",

keywords = "Artificial neural networks, Force sensing, Interactive display, Piezoelectric touch panel",

author = "Shuo Gao and Jifang Duan and Zhicheng Wei and Arokia Nathan",

note = "Publisher Copyright: {\textcopyright} 2018, Blackwell Publishing Ltd. All rights reserved.; SID Symposium, Seminar, and Exhibition 2018, Display Week 2018 ; Conference date: 20-05-2018 Through 25-05-2018",

year = "2018",

doi = "10.1002/sdtp.12443",

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AU - Gao, Shuo

AU - Duan, Jifang

AU - Wei, Zhicheng

AU - Nathan, Arokia

PY - 2018

Y1 - 2018

N2 - Over panel stress non-uniformity strongly limits the detection accuracy of piezo based force sensing in interactive displays. In this work, nested artificial neural networks based technique is presented to address the issue of stress non-uniformity. High detection accuracy in terms of touch position and force amplitude is demonstrated by the proposed technique.

AB - Over panel stress non-uniformity strongly limits the detection accuracy of piezo based force sensing in interactive displays. In this work, nested artificial neural networks based technique is presented to address the issue of stress non-uniformity. High detection accuracy in terms of touch position and force amplitude is demonstrated by the proposed technique.

KW - Artificial neural networks

KW - Force sensing

KW - Interactive display

KW - Piezoelectric touch panel

UR - https://www.scopus.com/pages/publications/85054030815

U2 - 10.1002/sdtp.12443

DO - 10.1002/sdtp.12443

M3 - 会议文章

AN - SCOPUS:85054030815

SN - 0097-966X

VL - 49

SP - 1893

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JO - Digest of Technical Papers - SID International Symposium

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T2 - SID Symposium, Seminar, and Exhibition 2018, Display Week 2018

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ER -

High force sensing accuracy in piezoelectric based interactive displays by artificial neural networks

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