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Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
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Intelligent Head-Mounted Obstacle Avoidance Wearable for the Blind and Visually Impaired.

Peijie Xu1, Andy Song1, Ke Wang1

  • 1School of Computing Technologies, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, VIC 3000, Australia.

Sensors (Basel, Switzerland)
|December 9, 2023
PubMed
Summary

This study introduces an intelligent head-mounted device to help blind and visually impaired (BVI) individuals detect obstacles. The wearable technology provides real-time warnings, enhancing safety and independence for BVI users.

Keywords:
BVIintelligent wearableobstacle avoidancesupervised machine learningvision impaired

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Area of Science:

  • Computer Science
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Blind and visually impaired (BVI) individuals face significant risks navigating environments due to obstacles.
  • Existing assistive technologies may lack real-time obstacle detection or wearable integration.

Purpose of the Study:

  • To develop a computationally efficient, compact, and reliable intelligent head-mounted device for real-time obstacle detection.
  • To ensure the device can accurately function despite natural head movements.
  • To enhance the safety and independence of BVI individuals through advanced assistive technology.

Main Methods:

  • Exploration and comparison of over thirty machine learning models with varying hyperparameters.
  • Evaluation of key performance metrics to balance accuracy and real-time processing capabilities.
  • Integration of the selected model into a compact, wearable head-mounted device prototype.

Main Results:

  • Identification of a highly efficient model suitable for real-time performance on a wearable device.
  • Demonstration of accurate obstacle detection capabilities, even with natural head turns.
  • Validation of the device's potential to significantly improve obstacle avoidance for BVI users.

Conclusions:

  • A computationally efficient wearable device for real-time obstacle detection is feasible.
  • The developed system can effectively assist blind and visually impaired individuals in navigating environments safely.
  • This technology holds promise for enhancing the autonomy and quality of life for BVI persons.