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A multi-channel bioimpedance-based device for Vietnamese hand gesture recognition.

Nhat-Minh Than1,2, Son-Thuy Nguyen1,2, Dang-Nguyen Huynh1,2

  • 1Department of Biomedical Engineering, Faculty of Applied Science, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet, District 10, Ho Chi Minh City, 700000, Vietnam.

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Summary

This study introduces a novel bio-impedance system for real-time hand gesture recognition, achieving 97.24% accuracy. This technology enhances communication for the deaf and hard-of-hearing community, particularly in healthcare settings.

Keywords:
BioimpedanceDeep learningHand gesture recognition

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Area of Science:

  • Biomedical Engineering
  • Human-Computer Interaction
  • Assistive Technology

Background:

  • Hand gesture recognition is crucial for diverse applications, including healthcare and industry.
  • Existing methods often overlook the communication needs of individuals with hearing impairments.
  • Advancements in non-verbal communication technology are vital for inclusivity.

Purpose of the Study:

  • To develop a real-time hand gesture recognition system using bio-impedance.
  • To improve communication accessibility for the deaf and hard-of-hearing community.
  • To enhance quality of life through advanced assistive technology.

Main Methods:

  • A Raspberry Pi-powered device with electrodes was used for bio-impedance data acquisition.
  • An impedance chip facilitated efficient data collection.
  • Convolutional Neural Network (CNN), XGBoost, and Random Forest models were employed for gesture classification.

Main Results:

  • The system achieved an average accuracy of 97.24% across ten subjects.
  • Up to nine distinct hand gestures were successfully recognized.
  • A subject-dependent strategy proved effective for personalized recognition.

Conclusions:

  • Bio-impedance based hand gesture recognition is a viable and effective approach.
  • This technology offers significant potential for improving non-verbal communication.
  • The system addresses a critical social need by advancing technology for individuals with hearing impairments.