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- Title
Multiscale and hierarchical wrinkle enhanced graphene/Ecoflex sensors integrated with human-machine interfaces and cloud-platform.
- Authors
Zhou, Jian; Long, Xinxin; Huang, Jian; Jiang, Caixuan; Zhuo, Fengling; Guo, Chen; Li, Honglang; Fu, YongQing; Duan, Huigao
- Abstract
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 ~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.
- Subjects
STRAIN sensors; SPEECH perception; GRAPHENE; SIGN language; DETECTORS; AUTOMATIC speech recognition; CLOUD computing
- Publication
NPJ Flexible Electronics, 2022, Vol 6, Issue 1, p1
- ISSN
2397-4621
- Publication type
Article
- DOI
10.1038/s41528-022-00189-1