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Multimodal Sensors with Decoupled Sensing Mechanisms

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...

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Autores principales: Yang, Ruoxi, Zhang, Wanqing, Tiwari, Naveen, Yan, Han, Li, Tiejun, Cheng, Huanyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475538/
https://www.ncbi.nlm.nih.gov/pubmed/35835946
http://dx.doi.org/10.1002/advs.202202470
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author Yang, Ruoxi
Zhang, Wanqing
Tiwari, Naveen
Yan, Han
Li, Tiejun
Cheng, Huanyu
author_facet Yang, Ruoxi
Zhang, Wanqing
Tiwari, Naveen
Yan, Han
Li, Tiejun
Cheng, Huanyu
author_sort Yang, Ruoxi
collection PubMed
description 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 input signals applied to the sensor in sequence. Next, this study discusses the methods for the suppression of the interference, signal correction, and various decoupling strategies based on different outputs to simultaneously detect multiple inputs. The recent insights into the materials' properties, structure effects, and sensing mechanisms in recognition of different input signals are highlighted. The presence of the various decoupling methods also helps avoid the use of complicated signal processing steps and allows multimodal sensors with high accuracy for applications in bioelectronics, robotics, and human–machine interfaces. Finally, current challenges and potential opportunities are discussed in order to motivate future technological breakthroughs.
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spelling pubmed-94755382022-09-28 Multimodal Sensors with Decoupled Sensing Mechanisms Yang, Ruoxi Zhang, Wanqing Tiwari, Naveen Yan, Han Li, Tiejun Cheng, Huanyu Adv Sci (Weinh) Reviews 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 input signals applied to the sensor in sequence. Next, this study discusses the methods for the suppression of the interference, signal correction, and various decoupling strategies based on different outputs to simultaneously detect multiple inputs. The recent insights into the materials' properties, structure effects, and sensing mechanisms in recognition of different input signals are highlighted. The presence of the various decoupling methods also helps avoid the use of complicated signal processing steps and allows multimodal sensors with high accuracy for applications in bioelectronics, robotics, and human–machine interfaces. Finally, current challenges and potential opportunities are discussed in order to motivate future technological breakthroughs. John Wiley and Sons Inc. 2022-07-14 /pmc/articles/PMC9475538/ /pubmed/35835946 http://dx.doi.org/10.1002/advs.202202470 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reviews
Yang, Ruoxi
Zhang, Wanqing
Tiwari, Naveen
Yan, Han
Li, Tiejun
Cheng, Huanyu
Multimodal Sensors with Decoupled Sensing Mechanisms
title Multimodal Sensors with Decoupled Sensing Mechanisms
title_full Multimodal Sensors with Decoupled Sensing Mechanisms
title_fullStr Multimodal Sensors with Decoupled Sensing Mechanisms
title_full_unstemmed Multimodal Sensors with Decoupled Sensing Mechanisms
title_short Multimodal Sensors with Decoupled Sensing Mechanisms
title_sort multimodal sensors with decoupled sensing mechanisms
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475538/
https://www.ncbi.nlm.nih.gov/pubmed/35835946
http://dx.doi.org/10.1002/advs.202202470
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