Intelligent Sensing: The Emerging Integration of Machine Learning and Soft Sensors Based on Hydrogels and Ionogels

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מידע ביבליוגרפי
הוצא לאור ב:	Advanced Science vol. 12, no. 48 (Dec 1, 2025)
מחבר ראשי:	He, Wenqing
מחברים אחרים:	Lin, Rumin, Kong, Suixiu, Qiang, Mengyi, Huang, Lingqi, Dai, Bing, Yao, Xi, Su, Lei, Zhang, Xueji
יצא לאור:	John Wiley & Sons, Inc.
נושאים:	Biocompatibility Mechanical properties Machine learning Text categorization Accuracy Deep learning Datasets Regression analysis Artificial intelligence Signal processing Sensors Neural networks Support vector machines Data processing Feature selection Natural language processing Algorithms Clustering Decision trees Human-computer interaction Hydrogels Composite materials
גישה מקוונת:	Citation/Abstract Full Text Full Text - PDF
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תיאור
Resumen:	Intelligent sensing means the capability of systems to perceive, learn, analyze, and predict based on external stimuli, mimicking the cognitive functions of the human brain. With the assistance of machine learning algorithms for data processing, soft sensors made from hydrogels and ionogels possess intelligent sensing abilities. Here, the recent advances of hydrogel‐ and ionogel‐based soft sensors are comprehensively investigated and summarized, with a specific focus on machine learning‐implemented applications, including handwriting/gesture/object/motion/speech recognition, health monitoring, food detection, and beyond. With current limitations and future perspectives discussed, the fusion of the two is envisioned that can accelerate the development of intelligent sensing in the areas of human‐machine interface (HMI), health care, and soft robotics.
ISSN:	2198-3844
DOI:	10.1002/advs.202517851
Fuente:	Science Database