Design of AI-Enhanced and Hardware-Supported Multimodal E-Skin for Environmental Object Recognition and Wireless Toxic Gas Alarm

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

Nano-Micro Letters (Jul 2024)

Design of AI-Enhanced and Hardware-Supported Multimodal E-Skin for Environmental Object Recognition and Wireless Toxic Gas Alarm

Jianye Li,
Hao Wang,
Yibing Luo,
Zijing Zhou,
He Zhang,
Huizhi Chen,
Kai Tao,
Chuan Liu,
Lingxing Zeng,
Fengwei Huo,
Jin Wu

Affiliations

Jianye Li: State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University
Hao Wang: State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University
Yibing Luo: State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University
Zijing Zhou: State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University
He Zhang: Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing
Huizhi Chen: Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs and School of Pharmacy, Guangdong Medical University
Kai Tao: Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University
Chuan Liu: State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University
Lingxing Zeng: Engineering Research Center of Polymer Green Recycling of Ministry of Education, College of Environment and Resources, Fujian Normal University
Fengwei Huo: The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University
Jin Wu: State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University

DOI: https://doi.org/10.1007/s40820-024-01466-6
Journal volume & issue: Vol. 16, no. 1
pp. 1 – 22

Abstract

Read online

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.

Published in Nano-Micro Letters

ISSN: 2311-6706 (Print); 2150-5551 (Online)
Publisher: SpringerOpen
Country of publisher: Germany
LCC subjects: Technology
Website: http://www.springer.com/40820

About the journal

Abstract

Keywords