Synergistic sensing of stratified structures enhancing touch recognition for multifunctional interactive electronics
Efficient touch feedback, capable of monitoring the magnitude of force and identifying active location, is significant to artificial intelligence and interactive robotics. It generally needs the integration of multitudinous sensing elements and intricate manufacturing procedures. Here we propose a m...
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sg-ntu-dr.10356-1450222021-02-03T04:46:09Z Synergistic sensing of stratified structures enhancing touch recognition for multifunctional interactive electronics Liao, Xinqin Wang, Wensong Zhong, Longjie Lai, Xinquan Zheng, Yuanjin School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Wearable Electronics Touch Sensors Efficient touch feedback, capable of monitoring the magnitude of force and identifying active location, is significant to artificial intelligence and interactive robotics. It generally needs the integration of multitudinous sensing elements and intricate manufacturing procedures. Here we propose a multifunctional paper-based touch sensor to realize touch trajectory recognition as well as achieve pressure information. The asymmetric and symmetric structures are designed to skillfully construct localization layer and pressure sensing layer. These functional layers effectively assemble a scalable touch sensor and, thus, greatly simplify the device's architecture with the competitive advantages of easiness in fabrication, cost-effectiveness, self-switching characteristic, and programmability in interactive function. Through coding and using the electrical signals, human-computer interaction, human-machine interaction, and force-enhanced cryptographic matrix are explored and demonstrate the feasibility of the proposed touch sensor. This work provides a novel mechanosensational sensing paradigm to leverage the complex physics of a feasible strategy for advancing human-related interactive electronics. National Research Foundation (NRF) Accepted version This work was supported by the National Research Foundation of Singapore (No. NRF-CRP11-2012-01). The authors declare that they have no competing interests. 2020-12-08T08:54:55Z 2020-12-08T08:54:55Z 2019 Journal Article Liao, X., Wang, W., Zhong, L., Lai, X., & Zheng, Y. (2019). Synergistic sensing of stratified structures enhancing touch recognition for multifunctional interactive electronics. Nano Energy, 62, 410-418. doi:10.1016/j.nanoen.2019.05.054 2211-2855 https://hdl.handle.net/10356/145022 10.1016/j.nanoen.2019.05.054 62 410 418 en Nano Energy © 2019 Elsevier Ltd. All rights reserved. This paper was published in Nano Energy and is made available with permission of Elsevier Ltd. application/pdf |
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Engineering::Electrical and electronic engineering Wearable Electronics Touch Sensors Liao, Xinqin Wang, Wensong Zhong, Longjie Lai, Xinquan Zheng, Yuanjin Synergistic sensing of stratified structures enhancing touch recognition for multifunctional interactive electronics |
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Efficient touch feedback, capable of monitoring the magnitude of force and identifying active location, is significant to artificial intelligence and interactive robotics. It generally needs the integration of multitudinous sensing elements and intricate manufacturing procedures. Here we propose a multifunctional paper-based touch sensor to realize touch trajectory recognition as well as achieve pressure information. The asymmetric and symmetric structures are designed to skillfully construct localization layer and pressure sensing layer. These functional layers effectively assemble a scalable touch sensor and, thus, greatly simplify the device's architecture with the competitive advantages of easiness in fabrication, cost-effectiveness, self-switching characteristic, and programmability in interactive function. Through coding and using the electrical signals, human-computer interaction, human-machine interaction, and force-enhanced cryptographic matrix are explored and demonstrate the feasibility of the proposed touch sensor. This work provides a novel mechanosensational sensing paradigm to leverage the complex physics of a feasible strategy for advancing human-related interactive electronics. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Liao, Xinqin Wang, Wensong Zhong, Longjie Lai, Xinquan Zheng, Yuanjin |
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Article |
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Liao, Xinqin Wang, Wensong Zhong, Longjie Lai, Xinquan Zheng, Yuanjin |
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Liao, Xinqin |
title |
Synergistic sensing of stratified structures enhancing touch recognition for multifunctional interactive electronics |
title_short |
Synergistic sensing of stratified structures enhancing touch recognition for multifunctional interactive electronics |
title_full |
Synergistic sensing of stratified structures enhancing touch recognition for multifunctional interactive electronics |
title_fullStr |
Synergistic sensing of stratified structures enhancing touch recognition for multifunctional interactive electronics |
title_full_unstemmed |
Synergistic sensing of stratified structures enhancing touch recognition for multifunctional interactive electronics |
title_sort |
synergistic sensing of stratified structures enhancing touch recognition for multifunctional interactive electronics |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/145022 |
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1692012947521404928 |