Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

T Tao Wu Y Yu‐Tao Li (School of Laboratory Medicine Hubei University of Chinese Medicine Wuhan 430065 China) L Luyu Zhao (The School of Information Science and Technology Beijing University of Chemical Technology Beijing China) Y Yi Zhang Z Zhaojie Zhang (Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing P. R. China) J Jian Yuan Y Yiwen Wu (Department of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine) A Anqi Che (MIIT Key Laboratory For Low‐Dimensional Quantum Structure and Devices School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing China) Y Yuanxiao Ma (School of Integrated Circuits and Electronics, MIIT Key Laboratory for Low-Dimensional Quantum Structure and Devices) Y Yang Chai Y Yeliang Wang (School of Integrated Circuits and Electronics, MIIT Key Laboratory for Low-Dimensional Quantum Structure and Devices)

Abstract

ABSTRACT Flexible multimodal sensors have garnered significant attention in research areas such as electronic skin, advanced robotics, and personalized health monitoring due to their ability to leverage the complementary advantages of diverse sensing units, thereby a primary decoupling strategy exploits differences in the fundamental types of signals generated. Nevertheless, flexible multimodal sensors persistently face challenges like signal crosstalk and complex integration processes, which constrain their performance. This review delineates recent advances in flexible multimodal sensor decoupling through fundamental material design guided by physical principles, structural design, and AI‐driven signal decoupling architectures. Additionally, we explore the various applications of flexible multimodal sensors, encompassing environmental monitoring, physiological health tracking, human‐machine interaction, and robotic perception. Finally, the conclusion, challenges, and future perspectives for next‐generation flexible multimodal sensing systems are discussed.

Article Details

Volume / Issue Vol. 38, Issue 12
Published February 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (11)

T

Tao Wu

Y

Yu‐Tao Li

School of Laboratory Medicine Hubei University of Chinese Medicine Wuhan 430065 China

L

Luyu Zhao

The School of Information Science and Technology Beijing University of Chemical Technology Beijing China

Y

Yi Zhang

Z

Zhaojie Zhang

Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing P. R. China

J

Jian Yuan

Y

Yiwen Wu

Department of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine

A

Anqi Che

MIIT Key Laboratory For Low‐Dimensional Quantum Structure and Devices School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing China

Y

Yuanxiao Ma

School of Integrated Circuits and Electronics, MIIT Key Laboratory for Low-Dimensional Quantum Structure and Devices

Y

Yang Chai

Y

Yeliang Wang

School of Integrated Circuits and Electronics, MIIT Key Laboratory for Low-Dimensional Quantum Structure and Devices