Intelligent Sensing: The Emerging Integration of Machine Learning and Soft Sensors Based on Hydrogels and Ionogels
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.
Authors
- Lei Su (ORCID: https://orcid.org/0000-0001-5342-1552)
- Xi Yao (ORCID: https://orcid.org/0000-0001-8986-3571)
- Wenqing He (ORCID: https://orcid.org/0000-0002-3609-3822)
- Suixiu Kong
- Bing Dai (ORCID: https://orcid.org/0000-0003-4924-6792)
- Lingqi Huang (ORCID: https://orcid.org/0000-0002-1310-2183)
- Xueji Zhang (ORCID: https://orcid.org/0000-0002-0035-3821)
- Rumin Lin
- Mengyi Qiang (ORCID: https://orcid.org/0009-0003-0571-8409)
Institutions
- Zhongyuan University of Technology (CN)
- City University of Hong Kong (HK)
- Zhejiang University of Science and Technology (CN)
- Shenzhen University (CN)
- Ya'an Polytechnic College (CN)
- Shenzhen University Health Science Center (CN)
- Shenzhen Technology University (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-11-21
- DOI
- https://doi.org/10.1002/advs.202517851
- Citations
- 3
- Primary Topic
- Hydrogels: synthesis, properties, applications
- Type
- article
- Field-Weighted Citation Impact
- 1.77