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A Real-Time Wearable Electromyography Measurement System for Small Animals
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An Embedded Electromyogram Signal Acquisition Device.

Changjia Lu1,2, Xin Xu2, Yingjie Liu2

  • 1China Coal Research Institute, Beijing 100013, China.

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Summary

This study introduces a low-cost, embedded surface electromyography (EMG) acquisition device for advanced human-computer interaction in exoskeleton robots. The device enhances exoskeleton synchronization and responsiveness to user actions.

Keywords:
embedded deviceexoskeletonintention recognitionsignal preprocessingsurface electromyography

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Area of Science:

  • Biomedical Engineering
  • Robotics
  • Human-Computer Interaction

Background:

  • Exoskeleton robots require intuitive control for enhanced functionality.
  • Surface electromyography (EMG) signals offer a promising avenue for non-invasive human-robot interaction.
  • Current EMG acquisition methods can be costly, bulky, or susceptible to noise.

Purpose of the Study:

  • To design and develop a cost-effective, miniaturized, and compatible embedded surface EMG acquisition device.
  • To enable real-time, multi-channel EMG signal collection for improved exoskeleton robot control.
  • To enhance the intelligence, robustness, and responsiveness of exoskeleton systems through advanced human-computer interaction.

Main Methods:

  • Design of an embedded system for eight-channel surface EMG signal acquisition with expansion capability.
  • Implementation of wired transmission for robust performance in complex electromagnetic environments.
  • Integration of light signals for real-time signal strength indication.
  • Utilization of an embedded processing chip for noise reduction and signal filtering.

Main Results:

  • The developed device effectively acquires raw surface EMG signals in real time.
  • Demonstrated low cost, miniaturization, and strong compatibility for practical application.
  • Validated the device's capability to improve human-computer interaction in exoskeleton systems.
  • Confirmed the potential to enhance exoskeleton robustness and intelligence.

Conclusions:

  • The embedded EMG acquisition device provides a viable solution for advanced human-robot interaction in exoskeletons.
  • This technology offers a pathway to more intelligent and responsive exoskeleton systems.
  • The device contributes to reducing the cost and complexity of integrating EMG-based control in robotic systems.