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ACS Appl Mater Interfaces. 2018 Jan 31;10(4):3948-3954. doi: 10.1021/acsami.7b16284. Epub 2018 Jan 17.

Simultaneously Detecting Subtle and Intensive Human Motions Based on a Silver Nanoparticles Bridged Graphene Strain Sensor.

Yang Z1,2, Wang DY1,2, Pang Y1,2, Li YX1,2, Wang Q1,2, Zhang TY1,2, Wang JB1,2, Liu X1,2, Yang YY1,2, Jian JM1,2, Jian MQ3, Zhang YY3, Yang Y1,2, Ren TL1,2.

Author information

1
Institute of Microelectronics, Tsinghua University , Beijing 100084, China.
2
Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University , Beijing 100084, China.
3
Department of Chemistry and Center for Nano and Micro Mechanics (CNMM), Tsinghua University , Beijing 100084, China.

Abstract

There is a growing demand for flexible electronic devices. In particular, strain sensors with high performance have attracted more and more attention, because they can be attached on clothing or human skin for applications in the real-time monitoring of human activities. However, monitoring human-body motions that include both subtle and intensive motions, and many strain sensors cannot meet the diverse demands simultaneously. In this work, a silver nanoparticles (Ag NPs) bridged graphene strain sensor is developed for simultaneously detecting subtle and intensive human motions. Ag NPs serve as many bridges to connect the self-overlapping graphene sheets, which endows the strain sensor with many excellent performances. Because of the high sensitivity, with a large gauge factor (GF) of 475 and a strain range of >14.5%, high durability of the sensor has been achieved. Besides, the excellent consistency and repeatability of the fabrication process is verified. Furthermore, the model for explaining the working mechanism of the strain sensor is proposed. Most importantly, the designed wearable strain sensor can be applied in human motion detection, including large-scale motions and small-scale motions.

KEYWORDS:

Ag nanoparticles; bridge; graphene; human motions; strain sensor

PMID:
29281246
DOI:
10.1021/acsami.7b16284
[Indexed for MEDLINE]

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