4.8 Article

Crack-Across-Pore Enabled High-Performance Flexible Pressure Sensors for Deep Neural Network Enhanced Sensing and Human Action Recognition

期刊

ACS NANO
卷 16, 期 5, 页码 8358-8369

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsnano.2c02609

关键词

crack-across-pore; pressure sensors; high pressure; high temperature; neural networks

资金

  1. Shenzhen Basic Research grants [GJHZ20200731095601004, JCYJ20200109114801744, JCYJ20180507182431967]
  2. National Nature Science Foundation of China [11804354, 52173243, 51903249]
  3. Guangdong Basic and Applied Basic Research Foundation [2021A1515012637]
  4. Singapore Ministry of Education Academic Research Fund Tier 2 [MOE2019-T2-2-127]
  5. Singapore Ministry of Education Academic Research Fund Tier 1 [MOE2019-T1001-103, MOE2019-T1-001-111]
  6. Singapore National Research Foundation Competitive Research Program [NRF-CRP18-2017-02]
  7. Nanyang Technological University

向作者/读者索取更多资源

This study demonstrates a high-performance pressure sensor based on flexible porous materials, which has high sensitivity, low detection limit, and excellent durability. The sensor can be used to detect various stimuli within different pressure ranges and offers high accuracy in practical scenarios.
Flexible pressure sensors with high sensitivity over a broad pressure range are highly desired, yet challenging to build to meet the requirements of practical applications in daily activities and more significant in some extreme environments. This work demonstrates a thin, lightweight, and high-performance pressure sensor based on flexible porous phenyl-silicone/functionalized carbon nanotube (PS/FCNT) film. The formed crack-across-pore endows the pressure sensor with high sensitivity of 19.77 kPa(-1) and 1.6 kPa(-1) in the linear range of 0-33 kPa and 0.2-2 MPa, respectively, as well as ultralow detection limit (similar to 1.3 Pa). Furthermore, the resulting pressure sensor possesses a low fatigue over 4000 loading/unloading cycles even under a high pressure of 2 MPa and excellent durability (>6000 cycles) after heating at high temperature (200 degrees C), attributed to the strong chemical bonding between PS and FCNT, excellent mechanical stability, and high temperature resistance of PS/FCNT film. These superior properties set a foundation for applying the single sensor device in detecting diverse stimuli from the very low to high pressure range, including weak airflow, sway, vibrations, biophysical signal monitoring, and even car pressure. Besides, a deep neural network based on transformer (TRM) has been engaged for human action recognition with an overall classification rate of 94.96% on six human actions, offering high accuracy in real-time practical scenarios.

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