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Finger-Gesture Controlled Wheelchair with Enabling IoT.

Muhammad Sheikh Sadi1,2, Mohammed Alotaibi3, Md Repon Islam1

  • 1Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh.

Sensors (Basel, Switzerland)
|November 26, 2022
PubMed
Summary

This study introduces an affordable smart wheelchair controlled by gestures using computer vision and an IoT fall detection system. The goal is to enhance independent mobility for individuals with physical disabilities.

Keywords:
computer visionfall detectionhand-gesture controlobstacle avoidancesmart wheelchair

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Area of Science:

  • Biomedical Engineering
  • Robotics
  • Internet of Things (IoT)

Background:

  • High costs and technical limitations of advanced wheelchairs hinder accessibility for many disabled individuals.
  • Existing solutions often lack integrated safety features like fall detection.
  • There is a need for affordable and safe mobility solutions for independent living.

Purpose of the Study:

  • To propose a cost-effective, gesture-controlled smart wheelchair system.
  • To integrate an Internet of Things (IoT)-enabled fall detection mechanism for enhanced user safety.
  • To improve independent mobility for people with physical disabilities.

Main Methods:

  • Utilized Convolutional Neural Network (CNN) models and computer vision algorithms for gesture recognition.
  • Implemented an IoT-based emergency messaging system for fall detection.
  • Developed a smart wheelchair system with a total development cost under USD 300.

Main Results:

  • Successfully developed a gesture-controlled wheelchair system.
  • Integrated a functional IoT-enabled fall detection and emergency alert system.
  • Achieved a low development cost, making the system potentially affordable.

Conclusions:

  • The proposed smart wheelchair offers an affordable and safe solution for enhancing independent mobility.
  • Gesture control and IoT fall detection address key limitations of current advanced wheelchair technologies.
  • This system has the potential to significantly benefit individuals with physical disabilities.