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A pragmatic data processing system for large resistive sensor arrays.

X Sun1,2, M Zhang1

  • 1Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.

The Review of Scientific Instruments
|August 19, 2024
PubMed
Summary
This summary is machine-generated.

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This study presents an FPGA-based system for large resistive sensor arrays (RSAs), enabling efficient data processing and high-speed wireless updates for tactile perception applications. The system reduces power consumption and improves measurement accuracy.

Area of Science:

  • Sensor Technology
  • Embedded Systems
  • Data Acquisition

Background:

  • Large resistive sensor arrays (RSAs) offer potential for tactile perception but face challenges in hardware overhead and real-time data processing.
  • Transient measurement applications require efficient handling of large datasets from sensor arrays.

Purpose of the Study:

  • To implement a field programmable gate array (FPGA)-based data processing system for a 96x96 RSA.
  • To achieve high-speed wireless data updates and reduce power consumption.
  • To enable real-time data analysis and fault identification for micro-electromechanical system (MEMS) fabricated RSAs.

Main Methods:

  • An FPGA-based real-time embedded data processing system was developed for parallel processing.
  • An improved zero potential method using bus switches was implemented to reduce operational amplifiers and power consumption.

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  • A high-speed wireless transfer scheme using a Wi-Fi module with automatic regulated transfer size was realized.

    • Main Results:

    • The system demonstrated good power consumption (2.15 mW/pixel) and high-speed wireless data updates.
    • Negative power consumption was reduced by 50% compared to the traditional zero potential method.
    • A scanning speed of 400 fps and wireless transfer speed of up to 120 fps were achieved.

    Conclusions:

    • The developed FPGA-based system effectively addresses the challenges of large RSAs in transient measurement applications.
    • The system offers a power-efficient and high-speed solution for tactile perception with real-time data processing and wireless capabilities.
    • The fault identification feature enhances the reliability of MEMS-fabricated RSAs.