Multimodal Sensors with Decoupled Sensing Mechanisms
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 mul...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-09-01
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| Series: | Advanced Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/advs.202202470 |
| _version_ | 1797817497556090880 |
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| author | Ruoxi Yang Wanqing Zhang Naveen Tiwari Han Yan Tiejun Li Huanyu Cheng |
| author_facet | Ruoxi Yang Wanqing Zhang Naveen Tiwari Han Yan Tiejun Li Huanyu Cheng |
| author_sort | Ruoxi Yang |
| collection | DOAJ |
| description | 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 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. |
| first_indexed | 2024-03-13T08:54:21Z |
| format | Article |
| id | doaj.art-6d08262736854535a84fee7c5f5046d6 |
| institution | Directory Open Access Journal |
| issn | 2198-3844 |
| language | English |
| last_indexed | 2024-03-13T08:54:21Z |
| publishDate | 2022-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Science |
| spelling | doaj.art-6d08262736854535a84fee7c5f5046d62023-05-29T04:01:39ZengWileyAdvanced Science2198-38442022-09-01926n/an/a10.1002/advs.202202470Multimodal Sensors with Decoupled Sensing MechanismsRuoxi Yang0Wanqing Zhang1Naveen Tiwari2Han Yan3Tiejun Li4Huanyu Cheng5School of Mechanical Engineering Hebei University of Technology Tianjin 300401 P. R. ChinaDepartment of Engineering Science and Mechanics The Pennsylvania State University University Park PA 16802 USADepartment of Engineering Science and Mechanics The Pennsylvania State University University Park PA 16802 USASchool of Mechanical Engineering Hebei University of Technology Tianjin 300401 P. R. ChinaSchool of Mechanical Engineering Hebei University of Technology Tianjin 300401 P. R. ChinaDepartment of Engineering Science and Mechanics The Pennsylvania State University University Park PA 16802 USAAbstract 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.https://doi.org/10.1002/advs.202202470cross‐sensitivitydecoupling sensing mechanismsmultimodal sensorsmultiple input signals |
| spellingShingle | Ruoxi Yang Wanqing Zhang Naveen Tiwari Han Yan Tiejun Li Huanyu Cheng Multimodal Sensors with Decoupled Sensing Mechanisms Advanced Science cross‐sensitivity decoupling sensing mechanisms multimodal sensors multiple input signals |
| 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 | cross‐sensitivity decoupling sensing mechanisms multimodal sensors multiple input signals |
| url | https://doi.org/10.1002/advs.202202470 |
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