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Humanoid Intelligent Display Platform for Audiovisual Interaction and Sound Identification
This study proposes a rational strategy for the design, fabrication and system integration of the humanoid intelligent display platform (HIDP) to meet the requirements of highly humanized mechanical properties and intelligence for human–machine interfaces. The platform's sandwich structure comp...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562358/ https://www.ncbi.nlm.nih.gov/pubmed/37812331 http://dx.doi.org/10.1007/s40820-023-01199-y |
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author | Wang, Yang Gao, Wenli Yang, Shuo Chen, Qiaolin Ye, Chao Wang, Hao Zhang, Qiang Ren, Jing Ning, Zhijun Chen, Xin Shao, Zhengzhong Li, Jian Liu, Yifan Ling, Shengjie |
author_facet | Wang, Yang Gao, Wenli Yang, Shuo Chen, Qiaolin Ye, Chao Wang, Hao Zhang, Qiang Ren, Jing Ning, Zhijun Chen, Xin Shao, Zhengzhong Li, Jian Liu, Yifan Ling, Shengjie |
author_sort | Wang, Yang |
collection | PubMed |
description | This study proposes a rational strategy for the design, fabrication and system integration of the humanoid intelligent display platform (HIDP) to meet the requirements of highly humanized mechanical properties and intelligence for human–machine interfaces. The platform's sandwich structure comprises a middle light-emitting layer and surface electrodes, which consists of silicon elastomer embedded with phosphor and silk fibroin ionoelastomer, respectively. Both materials are highly stretchable and resilient, endowing the HIDP with skin-like mechanical properties and applicability in various extreme environments and complex mechanical stimulations. Furthermore, by establishing the numerical correlation between the amplitude change of animal sounds and the brightness variation, the HIDP realizes audiovisual interaction and successful identification of animal species with the aid of Internet of Things (IoT) and machine learning techniques. The accuracy of species identification reaches about 100% for 200 rounds of random testing. Additionally, the HIDP can recognize animal species and their corresponding frequencies by analyzing sound characteristics, displaying real-time results with an accuracy of approximately 99% and 93%, respectively. In sum, this study offers a rational route to designing intelligent display devices for audiovisual interaction, which can expedite the application of smart display devices in human–machine interaction, soft robotics, wearable sound-vision system and medical devices for hearing-impaired patients. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40820-023-01199-y. |
format | Online Article Text |
id | pubmed-10562358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-105623582023-10-11 Humanoid Intelligent Display Platform for Audiovisual Interaction and Sound Identification Wang, Yang Gao, Wenli Yang, Shuo Chen, Qiaolin Ye, Chao Wang, Hao Zhang, Qiang Ren, Jing Ning, Zhijun Chen, Xin Shao, Zhengzhong Li, Jian Liu, Yifan Ling, Shengjie Nanomicro Lett Article This study proposes a rational strategy for the design, fabrication and system integration of the humanoid intelligent display platform (HIDP) to meet the requirements of highly humanized mechanical properties and intelligence for human–machine interfaces. The platform's sandwich structure comprises a middle light-emitting layer and surface electrodes, which consists of silicon elastomer embedded with phosphor and silk fibroin ionoelastomer, respectively. Both materials are highly stretchable and resilient, endowing the HIDP with skin-like mechanical properties and applicability in various extreme environments and complex mechanical stimulations. Furthermore, by establishing the numerical correlation between the amplitude change of animal sounds and the brightness variation, the HIDP realizes audiovisual interaction and successful identification of animal species with the aid of Internet of Things (IoT) and machine learning techniques. The accuracy of species identification reaches about 100% for 200 rounds of random testing. Additionally, the HIDP can recognize animal species and their corresponding frequencies by analyzing sound characteristics, displaying real-time results with an accuracy of approximately 99% and 93%, respectively. In sum, this study offers a rational route to designing intelligent display devices for audiovisual interaction, which can expedite the application of smart display devices in human–machine interaction, soft robotics, wearable sound-vision system and medical devices for hearing-impaired patients. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40820-023-01199-y. Springer Nature Singapore 2023-10-09 /pmc/articles/PMC10562358/ /pubmed/37812331 http://dx.doi.org/10.1007/s40820-023-01199-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Yang Gao, Wenli Yang, Shuo Chen, Qiaolin Ye, Chao Wang, Hao Zhang, Qiang Ren, Jing Ning, Zhijun Chen, Xin Shao, Zhengzhong Li, Jian Liu, Yifan Ling, Shengjie Humanoid Intelligent Display Platform for Audiovisual Interaction and Sound Identification |
title | Humanoid Intelligent Display Platform for Audiovisual Interaction and Sound Identification |
title_full | Humanoid Intelligent Display Platform for Audiovisual Interaction and Sound Identification |
title_fullStr | Humanoid Intelligent Display Platform for Audiovisual Interaction and Sound Identification |
title_full_unstemmed | Humanoid Intelligent Display Platform for Audiovisual Interaction and Sound Identification |
title_short | Humanoid Intelligent Display Platform for Audiovisual Interaction and Sound Identification |
title_sort | humanoid intelligent display platform for audiovisual interaction and sound identification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562358/ https://www.ncbi.nlm.nih.gov/pubmed/37812331 http://dx.doi.org/10.1007/s40820-023-01199-y |
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