Anti‐Crosstalk Materials and Structural Decoupling Strategies for Multimodal Flexible Sensors
Source abstract
Abstract
Abstract The development of flexible multimodal sensors (MMSs) is very crucial. Their importance lies in their ability to seamlessly integrate with the human body or complex surfaces, enabling real‐time, in situ, simultaneous monitoring of multiple physical, chemical, and biological signals (such as pressure, temperature, strain, humidity, etc.). This provides unprecedented comprehensive sensing capabilities for health monitoring, human‐computer interaction (HMI), intelligent robotics, and the Internet of Things (IoTs). Furthermore, their necessity stems from the limitations of single‐modal information. Multimodal fusion can significantly improve sensing accuracy, environmental adaptability, and information richness, making it an inevitable choice for meeting the high‐performance sensing needs of cutting‐edge fields such as smart healthcare, wearable electronics, and soft robotics. However, the development of flexible MMSs also faces numerous challenges, such as addressing the difficulties of efficient integration and signal decoupling of different sensing mechanisms on the same flexible substrate; efficiently acquiring, processing, fusing, and mitigating interference from heterogeneous signals from multiple sources; and achieving miniaturized, flexible, and sustainable energy solutions, as well as seamless integration with back‐end systems and large‐scale manufacturing. This review systematically summarizes the breakthrough progress and related strategies of flexible MMSs in the fields of device design, preparation process and signal decoupling, providing guidance and technical roadmap for the interdisciplinary development of high‐precision intelligent sensing devices.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Gas Sensing Nanomaterials and Sensors · Nanomaterials and Printing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Laboratory of Printable Functional Materials and Printed Electronics School of Physics and Technology Wuhan University Wuhan 430072 P. R. China
Funding
National Natural Science Foundation of China
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