Nanomesh‐YOLO: Intelligent Colorimetry E‐Skin Based on Nanomesh and Deep Learning Object Detection Algorithm

Perspiration is an important physiological process that maintains thermal homeostasis and water–salt balance. However, the collection and analysis of perspiration currently rely on microfluidic technology and colorimetric assays. The complexity and high cost of fabricating microfluidic channels and...

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Veröffentlicht in:	Advanced functional materials Jg. 34; H. 8
Hauptverfasser:	Chen, Hongyu, Xu, Siye, Liu, Haidong, Liu, Chang, Liu, Houfang, Chen, Jiyang, Huang, Hexiang, Gong, Haoyu, Wu, Jingzhi, Tang, Hao, Luo, Jinan, Wen, Baohua, Zhou, Jianhua, Qiao, Yancong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc 01.02.2024
Schlagworte:	Algorithms Capillarity Chemical reactions Colorimetry colorimetry e‐skin Deep learning Finite element method Homeostasis Machine learning Microfluidics Object recognition Perspiration perspiration monitoring Polyurethane resins PU nanomesh Reagents Sweating YOLOv3 object detection algorithm
ISSN:	1616-301X, 1616-3028
Online-Zugang:	Volltext
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