Your browser doesn't support javascript.
loading
Multimodal Sensors with Decoupled Sensing Mechanisms.
Yang, Ruoxi; Zhang, Wanqing; Tiwari, Naveen; Yan, Han; Li, Tiejun; Cheng, Huanyu.
Afiliação
  • Yang R; School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300401, P. R. China.
  • Zhang W; Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.
  • Tiwari N; Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.
  • Yan H; Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.
  • Li T; School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300401, P. R. China.
  • Cheng H; School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300401, P. R. China.
Adv Sci (Weinh) ; 9(26): e2202470, 2022 09.
Article em En | MEDLINE | ID: mdl-35835946
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Robótica / Dispositivos Eletrônicos Vestíveis Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Robótica / Dispositivos Eletrônicos Vestíveis Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article