• 文献标题:   Multiscale and hierarchical wrinkle enhanced graphene/Ecoflex sensors integrated with human-machine interfaces and cloud-platform
  • 文献类型:   Article
  • 作  者:   ZHOU J, LONG XX, HUANG J, JIANG CX, ZHUO FL, GUO C, LI HL, FU YQ, DUAN HG
  • 作者关键词:  
  • 出版物名称:   NPJ FLEXIBLE ELECTRONICS
  • ISSN:  
  • 通讯作者地址:  
  • 被引频次:   6
  • DOI:   10.1038/s41528-022-00189-1
  • 出版年:   2022

▎ 摘  要

Current state-of-the-art stretchable/flexible sensors have received stringent demands on sensitivity, flexibility, linearity, and wide-range measurement capability. Herein, we report a methodology of strain sensors based on graphene/Ecoflex composites by modulating multiscale/hierarchical wrinkles on flexible substrates. The sensor shows an ultra-high sensitivity with a gauge factor of 1078.1, a stretchability of 650%, a response time of similar to 140 ms, and a superior cycling durability. It can detect wide-range physiological signals including vigorous body motions, pulse monitoring and speech recognition, and be used for monitoring of human respirations in real-time using a cloud platform, showing a great potential for the healthcare internet of things. Complex gestures/sign languages can be precisely detected. Human-machine interface is demonstrated by using a sensor-integrated glove to remotely control an external manipulator to remotely defuse a bomb. This study provides strategies for real-time/long-range medical diagnosis and remote assistance to perform dangerous tasks in industry and military fields.