reviewAdvanced ScienceJul 14, 2022GOLD OA

Multimodal Sensors with Decoupled Sensing Mechanisms

Pennsylvania State University · Hebei University of Technology

PubMed
Indexed incrossrefdoajpubmed

Abstract

Highly sensitive and multimodal sensors have recently emerged for a wide range of applications, including epidermal electronics, robotics, health-monitoring devices and human-machine interfaces. However, cross-sensitivity prevents accurate measurements of the target input signals when a multiple of them are simultaneously present. Therefore, the selection of the multifunctional materials and the design of the sensor structures play a significant role in multimodal sensors with decoupled sensing mechanisms. Hence, this review article introduces varying methods to decouple different input signals for realizing truly multimodal sensors. Early efforts explore different outputs to distinguish the corresponding…

Citation impact

352
total citations
FWCI
25.17
Percentile
100%
References
112
Citations per year

Authors

6

Topics & keywords

Keywords
  • Computer science
  • Robotics
  • Artificial intelligence
  • Decoupling (probability)
  • Bioelectronics
  • Signal processing
  • SIGNAL (programming language)
  • Electronics
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Funding