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Design, analysis and performance evaluation of a hand gesture platform for navigation.

Rajesh Kannan Megalingam1, Venkat Rangan1, Pranav Veliyara1

  • 1Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|March 26, 2019
PubMed
Summary
This summary is machine-generated.

Gesture-controlled wheelchairs offer a faster, more intuitive alternative for autonomous navigation. The Mudra system accurately recognizes hand gestures, improving wheelchair control for the physically impaired.

Keywords:
Wheelchairelderlygestureimage processingnavigation

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Area of Science:

  • Biomedical Engineering
  • Human-Computer Interaction
  • Rehabilitation Technology

Background:

  • Current autonomous wheelchair navigation systems, primarily joystick-based, have limitations in control and customization for the elderly and infirm.
  • The need for more intuitive and adaptable control mechanisms for mobility devices is significant.

Purpose of the Study:

  • To introduce and evaluate 'Mudra,' a novel gesture-based control system for autonomous wheelchairs.
  • To assess the feasibility and performance of a gesture recognition module for wheelchair navigation.

Main Methods:

  • Development of a gesture capture module for recognizing four distinct hand gestures.
  • Implementation of the Mudra system's hardware and software for wheelchair control.
  • Conducting verification tests, performance analysis, and safety evaluations, including live testing with users.

Main Results:

  • The Mudra system achieved 97.8% accuracy in recognizing hand gestures.
  • Wheelchairs equipped with Mudra controls demonstrated faster response times compared to joystick-controlled counterparts.
  • Live user testing indicated positive feedback and preference for the gesture-controlled system.

Conclusions:

  • The Mudra gesture-controlled wheelchair system presents a promising and user-friendly alternative to traditional joystick controls.
  • Gesture-based navigation offers enhanced control and potentially improved mobility experiences for individuals with physical impairments.