Jianye Li, Hao Wang, Yibing Luo, Zijing Zhou, He Zhang, Huizhi Chen, Kai Tao, Chuan Liu, Lingxing Zeng, Fengwei Huo, Jin Wu
{"title":"设计用于环境物体识别和无线有毒气体报警的人工智能增强型和硬件支持的多模态电子皮肤。","authors":"Jianye Li, Hao Wang, Yibing Luo, Zijing Zhou, He Zhang, Huizhi Chen, Kai Tao, Chuan Liu, Lingxing Zeng, Fengwei Huo, Jin Wu","doi":"10.1007/s40820-024-01466-6","DOIUrl":null,"url":null,"abstract":"<div><h2> Highlights</h2><div>\n \n <ul>\n <li>\n <p>A novel organohydrogel-based multimodal e-skin with excellent sensing performance for temperature, humidity, pressure, proximity, and NO<sub>2</sub> is proposed for the first time, showing powerful sensing capabilities beyond natural skin.</p>\n </li>\n <li>\n <p>The developed multimodal e-skin exhibited extraordinary sensing performance at room temperature, including fast pressure response time (0.2 s), high temperature sensitivity (9.38% °C<sup>-1</sup>), a wide range of humidity response (22%–98% RH), high NO<sub>2</sub> sensitivity (254% ppm<sup>-1</sup>), a low detection limit (11.1 ppb NO<sub>2</sub>) and the abilities to sense the proximity of objects accurately, which are yet achieved by previous e-skins.</p>\n </li>\n <li>\n <p>The multimodal e-skin was combined with the deep neural network algorithm and wireless alarm circuit to achieve zero-error classification of different objects and rapid response to NO<sub>x</sub> leak incidents, proving the feasibility of the e-skin-assisted rescue robot for post-earthquake rescue.</p>\n </li>\n </ul>\n </div></div>","PeriodicalId":714,"journal":{"name":"Nano-Micro Letters","volume":"16 1","pages":""},"PeriodicalIF":26.6000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11286924/pdf/","citationCount":"0","resultStr":"{\"title\":\"Design of AI-Enhanced and Hardware-Supported Multimodal E-Skin for Environmental Object Recognition and Wireless Toxic Gas Alarm\",\"authors\":\"Jianye Li, Hao Wang, Yibing Luo, Zijing Zhou, He Zhang, Huizhi Chen, Kai Tao, Chuan Liu, Lingxing Zeng, Fengwei Huo, Jin Wu\",\"doi\":\"10.1007/s40820-024-01466-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h2> Highlights</h2><div>\\n \\n <ul>\\n <li>\\n <p>A novel organohydrogel-based multimodal e-skin with excellent sensing performance for temperature, humidity, pressure, proximity, and NO<sub>2</sub> is proposed for the first time, showing powerful sensing capabilities beyond natural skin.</p>\\n </li>\\n <li>\\n <p>The developed multimodal e-skin exhibited extraordinary sensing performance at room temperature, including fast pressure response time (0.2 s), high temperature sensitivity (9.38% °C<sup>-1</sup>), a wide range of humidity response (22%–98% RH), high NO<sub>2</sub> sensitivity (254% ppm<sup>-1</sup>), a low detection limit (11.1 ppb NO<sub>2</sub>) and the abilities to sense the proximity of objects accurately, which are yet achieved by previous e-skins.</p>\\n </li>\\n <li>\\n <p>The multimodal e-skin was combined with the deep neural network algorithm and wireless alarm circuit to achieve zero-error classification of different objects and rapid response to NO<sub>x</sub> leak incidents, proving the feasibility of the e-skin-assisted rescue robot for post-earthquake rescue.</p>\\n </li>\\n </ul>\\n </div></div>\",\"PeriodicalId\":714,\"journal\":{\"name\":\"Nano-Micro Letters\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":26.6000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11286924/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nano-Micro Letters\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s40820-024-01466-6\",\"RegionNum\":1,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nano-Micro Letters","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s40820-024-01466-6","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Engineering","Score":null,"Total":0}
Design of AI-Enhanced and Hardware-Supported Multimodal E-Skin for Environmental Object Recognition and Wireless Toxic Gas Alarm
Highlights
A novel organohydrogel-based multimodal e-skin with excellent sensing performance for temperature, humidity, pressure, proximity, and NO2 is proposed for the first time, showing powerful sensing capabilities beyond natural skin.
The developed multimodal e-skin exhibited extraordinary sensing performance at room temperature, including fast pressure response time (0.2 s), high temperature sensitivity (9.38% °C-1), a wide range of humidity response (22%–98% RH), high NO2 sensitivity (254% ppm-1), a low detection limit (11.1 ppb NO2) and the abilities to sense the proximity of objects accurately, which are yet achieved by previous e-skins.
The multimodal e-skin was combined with the deep neural network algorithm and wireless alarm circuit to achieve zero-error classification of different objects and rapid response to NOx leak incidents, proving the feasibility of the e-skin-assisted rescue robot for post-earthquake rescue.
期刊介绍：
Nano-Micro Letters is a peer-reviewed, international, interdisciplinary, and open-access journal published under the SpringerOpen brand.
Nano-Micro Letters focuses on the science, experiments, engineering, technologies, and applications of nano- or microscale structures and systems in various fields such as physics, chemistry, biology, material science, and pharmacy.It also explores the expanding interfaces between these fields.
Nano-Micro Letters particularly emphasizes the bottom-up approach in the length scale from nano to micro. This approach is crucial for achieving industrial applications in nanotechnology, as it involves the assembly, modification, and control of nanostructures on a microscale.
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