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Graphene Textile Strain Sensor with Negative Resistance Variation for Human Motion Detection.

Zhen YangYu PangXiao-Lin HanYifan YangJiang LingMuqiang JianYing-Ying ZhangYi YangTian-Ling Ren
Published in: ACS nano (2018)
Recently, wearable devices have been attracting significantly increased interest in human motion detection and human physiological signal monitoring. Currently, it is still a great challenge to fabricate strain sensors with high performance and good fit to the human body. In this work, we fabricated a close-fitting and wearable graphene textile strain sensor based on a graphene textile without polymer encapsulation. Graphene oxide acts as a colorant to dye the polyester fabric and is reduced at high temperature, which endows the graphene textile strain sensor with excellent performance. Compared with the previously reported strain sensors, our strain sensor exhibits a distinctive negative resistance variation with increasing strain. In addition, the sensor also demonstrates fascinating performance, including high sensitivity, long-term stability, and great comfort. Based on its superior performance, the graphene textile strain sensor can be knitted on clothing for detecting both subtle and large human motions, showing the tremendous potential for applications in wearable electronics.
Keyphrases
  • endothelial cells
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  • high temperature
  • high resolution
  • highly efficient