4.6 Article

Pomegranate-Inspired Biomimetic Pressure Sensor Arrays With a Wide Range and High Linear Sensitivity for Human-Machine Interaction

期刊

IEEE TRANSACTIONS ON ELECTRON DEVICES
卷 69, 期 3, 页码 1353-1358

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TED.2022.3146108

关键词

Biomimetic piezoresistive pressure sensor; human-machine interaction; paper-based sensor; polystyrene (PS) microspheres; reduced graphene oxide (rGO)

资金

  1. National Key Research and Development Program [2018YFB2100100]
  2. Graduate Research and Innovation Foundation of Chongqing, China [CYB21017]
  3. Fundamental Research Funds for the Central Universities [2020CDCGDQ008, 2019CDCG0016]
  4. 111 Project [BP0820005]

向作者/读者索取更多资源

This study presents a simple and low-cost method for preparing pressure sensors with high sensitivity, stability, and fast response time. The pressure sensor based on a 3-D porous structure filled with reduced graphene oxide shows high linear sensitivity, stability, and quick response time. Furthermore, a robotic arm interacting control system based on pressure sensor arrays demonstrates the potential of pressure sensors in human-machine interaction.
Flexible, highly sensitive, easy fabricating process, low-cost pressure sensors are the trend for flexible electronic devices. Despite the tremendous progress in recent years, it is still challenging to prepare pressure sensors with high sensitivity, high stability, and fast responsiveness. In this study, we report a simple and low-cost method for the preparation of novel pressure sensors. Inspired by the pomegranate structure, a 3-D porous structure consisting of polystyrene (PS) microspheres filled with reduced graphene oxide (rGO) paper is proposed. This pressure sensor has high linear sensitivity (1.41 kPa(-1) in the pressure range of 0-50 kPa), high stability (1000 cycles), and quick response time (similar to 20 ms). Furthermore, a robotic arm interacting control system based on pressure sensor arrays is constructed, which demonstrates the far-reaching potential of pressure sensors in human-machine interaction. Therefore, this work provides a low-cost and effective method for preparing high linear sensitivity pressure sensors.

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