ReviewAdvanced materials (Deerfield Beach, Fla.)2026
Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications.
Review in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Geometry-Encoded Soft Strain Sensing via Liquid-Metal Transmission Lines.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Strain-Insensitive Conductive Hydrogel Materials for Motion-Artifact-Free Flexible Bioelectronics.Gels (Basel, Switzerland) · 2026Review
- Emerging Multimodal Artificial Sensory Fusion Paradigms Toward Advanced Embodied Intelligence.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Reluctance Modulation of Structured Magnetorheological Elastomers for Wireless Biomechanical Sensing.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Carbon based functional materials enable multifunctional flexible strain sensors for wearable and implantable applications.Discover nano · 2026Review
- Multimodal PCSC Sensors for Real-Time Temperature and Force Detection Using LRTNet.Sensors (Basel, Switzerland) · 2026Article
- Progress in Strain Engineering of 2D-Integrated Heterostructures for Ultrasensitive Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Advances in flexible wearable pressure/strain sensors for motion monitoring in orthopaedic sports medicine.Journal of orthopaedic translation · 2026Review
- In situ UV-laser-induced forward transfer of carbon nanosphere/graphene composites on siloxane-polyurethane substrates for human health monitoring.Advanced composites and hybrid materials · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.