TY - JOUR
T1 - Recent Progress on Flexible Multimodal Sensors
T2 - Decoupling Strategies, Fabrication and Applications
AU - Wu, Tao
AU - Li, Yu Tao
AU - Zhao, Luyu
AU - Zhang, Yi
AU - Zhang, Zhaojie
AU - Yuan, Jian
AU - Wu, Yiwen
AU - Che, Anqi
AU - Ma, Yuanxiao
AU - Chai, Yang
AU - Wang, Yeliang
N1 - Publisher Copyright:
© 2026 The Author(s). Advanced Materials published by Wiley-VCH GmbH.
PY - 2026
Y1 - 2026
N2 - 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.
AB - 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.
KW - decoupling mechanism
KW - flexible multimodal sensors
KW - human-machine interaction
KW - signal decoupling
UR - https://www.scopus.com/pages/publications/105027894006
U2 - 10.1002/adma.202521375
DO - 10.1002/adma.202521375
M3 - Review article
AN - SCOPUS:105027894006
SN - 0935-9648
JO - Advanced Materials
JF - Advanced Materials
ER -