Multimodal Sensors with Decoupled Sensing Mechanisms.
Multimodal Sensors with Decoupled Sensing Mechanisms.
复制标题
具有解耦感测机制的多模态传感器。
DOI：
10.1002/advs.202202470
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发表时间：
2022-09
期刊：
影响因子：
15.1
通讯作者：
Cheng, Huanyu
中科院分区：
文献类型：
--
作者：
Yang, Ruoxi;Zhang, Wanqing;Tiwari, Naveen;Yan, Han;Li, Tiejun;Cheng, Huanyu
高灵敏度和多模态传感器最近出现了广泛的应用，包括表皮电子，机器人，健康监测设备和人机界面。然而，当多个目标输入信号同时存在时，交叉敏感性会妨碍目标输入信号的准确测量。因此，多功能材料的选择和传感器结构的设计在具有解耦传感机制的多模态传感器中起着重要作用。因此，这篇综述文章介绍了不同的方法来解耦不同的输入信号，实现真正的多模态传感器。早期的努力探索不同的输出，以区分相应的输入信号施加到传感器的顺序。接下来，本研究讨论了抑制干扰的方法，信号校正，以及基于不同输出的各种解耦策略，以同时检测多个输入。重点介绍了近年来对材料特性、结构效应以及识别不同输入信号的传感机理的研究进展。各种解耦方法的存在还有助于避免使用复杂的信号处理步骤，并允许多模态传感器在生物电子学，机器人和人机界面中具有高精度的应用。最后，讨论了当前的挑战和潜在的机会，以激励未来的技术突破。这篇评论文章探讨了多模态传感器在检测众多输入信号的发展，从歧视和干扰抑制到解耦。解耦机制利用各种材料、结构和感测原理。当前的限制和未来的机遇也激发了下一代灵活和可拉伸的传感器的灵感，这些传感器具有优化的传感性能，可以真正解耦复杂的输入信号/刺激，以满足实际应用。
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. This review article examines the evolution of multimodal sensors in detecting numerous input signals from discrimination and interference suppression to decoupling. The decoupled mechanisms exploit various materials, structures, and sensing principles. The current limitations and future opportunities also inspire the next‐generation flexible and stretchable sensors with optimized sensing performance to truly decouple complex input signals/stimuli for practical applications.
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影响因子：
16.6
作者：
An BW;Heo S;Ji S;Bien F;Park JU
通讯作者：
Park JU
影响因子：
10.8
作者：
Hu, Renchong;Cola, Baratunde A.;Baughman, Ray H.
通讯作者：
Baughman, Ray H.
影响因子：
4.6
作者：
Aziz, Shujahadeen B.;Abidin, Zul Hazrin Z.
通讯作者：
Abidin, Zul Hazrin Z.
影响因子：
19
作者：
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通讯作者：
Crispin, Xavier
DOI：
10.3390/s17112582
发表时间：
2017-11-09
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Kim K;Song G;Park C;Yun KS
通讯作者：
Yun KS