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 NO 2 is proposed for the first time, showing powerful sensing capabilities beyond natural skin. The developed multimodal e-skin exhibited extraordinary sen...

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Bibliographic Details
Published in:Nano-micro letters 2024-12, Vol.16 (1), p.256-22, Article 256
Main Authors: Li, Jianye, Wang, Hao, Luo, Yibing, Zhou, Zijing, Zhang, He, Chen, Huizhi, Tao, Kai, Liu, Chuan, Zeng, Lingxing, Huo, Fengwei, Wu, Jin
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Artificial neural networks
Circuit protection
Data processing
Earthquakes
Engineering
Grasping (robotics)
Hardware
High temperature
Humidity
Mechanical properties
Multilayers
Multimodal e-skin
Nanoscale Science and Technology
Nanotechnology
Nanotechnology and Microengineering
Nitrogen dioxide
Object recognition
Perception
Post-earthquake rescue
Proximity
Robots
Room temperature
Sensitivity
Stretchable hydrogel sensors
Time measurement
Wireless toxic gas alarm
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