Gao, S;
Duan, J;
Wei, Z;
Nathan, A;
(2018)
High Force Sensing Accuracy in Piezoelectric Based Interactive Displays by Artificial Neural Networks.
SID Symposium Digest of Technical Papers
, 49
(1)
pp. 1893-1896.
10.1002/sdtp.12443.
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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.
| Type: | Article |
|---|---|
| Title: | High Force Sensing Accuracy in Piezoelectric Based Interactive Displays by Artificial Neural Networks |
| Event: | SID |
| Location: | Los Angeles |
| Dates: | 21 May 2018 - 25 May 2018 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/sdtp.12443 |
| Publisher version: | http://dx.doi.org/10.1002/sdtp.12443 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Interactive display, piezoelectric touch panel, force sensing, artificial neural networks |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10051357 |
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