•  
  •  
 
Nano Research

Article Title

Ultra-sensitive graphene strain sensor for sound signal acquisition and recognition

Authors

Yan Wang, Department of Physics and Institute for Advanced Study, Nanchang University, Nanchang 330031, China Center for Nano and Micro Mechanics, Tsinghua University, Beijing 100084, China
Tingting Yang, Center for Nano and Micro Mechanics, Tsinghua University, Beijing 100084, China School of Materials Science and Engineering, State Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Materials Processing Technology of MOE, Tsinghua University, Beijing 100084, China
Junchao Lao, Department of Physics and Institute for Advanced Study, Nanchang University, Nanchang 330031, China Center for Nano and Micro Mechanics, Tsinghua University, Beijing 100084, China
Rujing Zhang, School of Materials Science and Engineering, State Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Materials Processing Technology of MOE, Tsinghua University, Beijing 100084, China
Yangyang Zhang, School of Materials Science and Engineering, State Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Materials Processing Technology of MOE, Tsinghua University, Beijing 100084, China
Miao Zhu, Center for Nano and Micro Mechanics, Tsinghua University, Beijing 100084, China School of Materials Science and Engineering, State Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Materials Processing Technology of MOE, Tsinghua University, Beijing 100084, China
Xiao Li, Center for Nano and Micro Mechanics, Tsinghua University, Beijing 100084, China School of Materials Science and Engineering, State Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Materials Processing Technology of MOE, Tsinghua University, Beijing 100084, China
Xiaobei Zang, School of Materials Science and Engineering, State Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Materials Processing Technology of MOE, Tsinghua University, Beijing 100084, China
Kunlin Wang, School of Materials Science and Engineering, State Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Materials Processing Technology of MOE, Tsinghua University, Beijing 100084, China
Wenjian Yu, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
Hu Jin, 2D Carbon Graphene Material Co., Ltd., Changzhou 213149, China
Li Wang, Department of Physics and Institute for Advanced Study, Nanchang University, Nanchang 330031, China
Hongwei Zhu, Center for Nano and Micro Mechanics, Tsinghua University, Beijing 100084, China School of Materials Science and Engineering, State Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Materials Processing Technology of MOE, Tsinghua University, Beijing 100084, China

Keywords

graphene, strain sensors, sound detectors, high sensitivity

Abstract

A wearable and high-precision sensor for sound signal acquisition and recognition was fabricated from thin films of specially designed graphene woven fabrics (GWFs). Upon being stretched, a high density of random cracks appears in the network, which decreases the current pathways, thereby increasing the resistance. Therefore, the film could act as a strain sensor on the human throat in order to measure one’s speech through muscle movement, regardless of whether or not a sound is produced. The ultra-high sensitivity allows for the realization of rapid and low-frequency speech sampling by extracting the signature characteristics of sound waves. In this study, representative signals of 26 English letters, typical Chinese characters and tones, and even phrases and sentences were tested, revealing obvious and characteristic changes in resistance. Furthermore, resistance changes of the graphene sensor responded perfectly with pre-recorded sounds. By combining artificial intelligence with digital signal processing, we expect that, in the future,this graphene sensor will be able to successfully negotiate complex acoustic systems and large quantities of audio data.

Graphical Abstract

Publisher

Tsinghua University Press

Share

COinS