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

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Publié dans:Advanced Science vol. 12, no. 48 (Dec 1, 2025)
Auteur principal: He, Wenqing
Autres auteurs: Lin, Rumin, Kong, Suixiu, Qiang, Mengyi, Huang, Lingqi, Dai, Bing, Yao, Xi, Su, Lei, Zhang, Xueji
Publié:
John Wiley & Sons, Inc.
Sujets:
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
Accès en ligne:Citation/Abstract
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Résumé: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
Source:Science Database