Electronic skins with multimodal sensing and perception
Multiple types of sensory information are detected and integrated to improve perceptual accuracy and sensitivity in biological cognition. However, current studies on electronic skin (e-skin) systems have mainly focused on the optimization of the modality-specific data acquisition and processing. End...
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sg-ntu-dr.10356-1713252023-10-20T15:44:51Z Electronic skins with multimodal sensing and perception Tu, Jiaqi Wang, Ming Li, Wenlong Su, Jiangtao Li, Yanzhen Lv, Zhisheng Li, Haicheng Feng, Xue Chen, Xiaodong School of Materials Science and Engineering Institute of Materials Research and Engineering, A*STAR Innovative Centre for Flexible Devices Max Planck - NTU Joint Lab for Artificial Senses Institute For Digital Molecular Analytics and Science Engineering::Materials Electronic Skins Multimodal Sensing Multiple types of sensory information are detected and integrated to improve perceptual accuracy and sensitivity in biological cognition. However, current studies on electronic skin (e-skin) systems have mainly focused on the optimization of the modality-specific data acquisition and processing. Endowing e-skins with the abilities of multimodal sensing and even perception that can achieve high-level perception behaviors has been insufficiently explored. Moreover, the perception progress of multisensory e-skin systems is faced with challenges at both device and software levels. Here, we provide a perspective on the multisensory fusion of e-skins. The recent progress in e-skins realizing multimodal sensing is reviewed, followed by bottom-up and top-down multimodal perception. With the deepening understanding of neuroscience and the rapid advance of novel algorithms and devices, multimodal perception function becomes possible and will promote the development of highly intelligent e-skin systems. Published version The authors gratefully acknowledge the support from the National Natural Science Foundation of China (Grant Nos. U20A6001 and 11921002). 2023-10-19T02:53:08Z 2023-10-19T02:53:08Z 2023 Journal Article Tu, J., Wang, M., Li, W., Su, J., Li, Y., Lv, Z., Li, H., Feng, X. & Chen, X. (2023). Electronic skins with multimodal sensing and perception. Soft Science, 3(3). https://dx.doi.org/10.20517/ss.2023.15 2769-5441 https://hdl.handle.net/10356/171325 10.20517/ss.2023.15 2-s2.0-85171248713 3 3 en Soft Science © 2023 The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. application/pdf |
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Engineering::Materials Electronic Skins Multimodal Sensing Tu, Jiaqi Wang, Ming Li, Wenlong Su, Jiangtao Li, Yanzhen Lv, Zhisheng Li, Haicheng Feng, Xue Chen, Xiaodong Electronic skins with multimodal sensing and perception |
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Multiple types of sensory information are detected and integrated to improve perceptual accuracy and sensitivity in biological cognition. However, current studies on electronic skin (e-skin) systems have mainly focused on the optimization of the modality-specific data acquisition and processing. Endowing e-skins with the abilities of multimodal sensing and even perception that can achieve high-level perception behaviors has been insufficiently explored. Moreover, the perception progress of multisensory e-skin systems is faced with challenges at both device and software levels. Here, we provide a perspective on the multisensory fusion of e-skins. The recent progress in e-skins realizing multimodal sensing is reviewed, followed by bottom-up and top-down multimodal perception. With the deepening understanding of neuroscience and the rapid advance of novel algorithms and devices, multimodal perception function becomes possible and will promote the development of highly intelligent e-skin systems. |
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School of Materials Science and Engineering |
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School of Materials Science and Engineering Tu, Jiaqi Wang, Ming Li, Wenlong Su, Jiangtao Li, Yanzhen Lv, Zhisheng Li, Haicheng Feng, Xue Chen, Xiaodong |
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Article |
author |
Tu, Jiaqi Wang, Ming Li, Wenlong Su, Jiangtao Li, Yanzhen Lv, Zhisheng Li, Haicheng Feng, Xue Chen, Xiaodong |
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Tu, Jiaqi |
title |
Electronic skins with multimodal sensing and perception |
title_short |
Electronic skins with multimodal sensing and perception |
title_full |
Electronic skins with multimodal sensing and perception |
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Electronic skins with multimodal sensing and perception |
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Electronic skins with multimodal sensing and perception |
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electronic skins with multimodal sensing and perception |
publishDate |
2023 |
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https://hdl.handle.net/10356/171325 |
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