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Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
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Audio Guide for Visually Impaired People Based on Combination of Stereo Vision and Musical Tones
Walter C S S Simões1, Yuri M L R Silva2, José Luiz de S Pio1
1ICOMP-Instituto de Computação, UFAM-Federal University of Amazonas, Manaus 69067-005, Brazil.
Sensors (Basel, Switzerland)
|December 29, 2019
Summary
This study introduces an iterative pedestrian dead reckoning (i-PDR) system for indoor navigation. It accurately detects obstacles at various heights, enhancing user safety and navigation efficiency.
Area of Science:
- Robotics
- Computer Vision
- Human-Computer Interaction
Background:
- Indoor navigation systems are crucial for providing environmental information and obstacle detection.
- Key performance metrics include accuracy and information delivery time.
- Detecting obstacles above waist-level is essential for user safety.
Purpose of the Study:
- To develop a hybrid indoor navigation model for improved accuracy and obstacle detection.
- To address the challenge of identifying both ground-level and elevated obstacles.
Main Methods:
- A hybrid model, iterative pedestrian dead reckoning (i-PDR), was developed by combining the PDR algorithm with a Kalman linear filter.
- Obstacle perception utilized stereo vision, a musical sounding scheme, and spoken instructions within a 120-degree field of view.
Main Results:
- The i-PDR system achieved a margin of error of 0.70 m and a maximum processing time of 0.09 s.
- The system demonstrated 90% accuracy in detecting obstacles at both ground level and suspended heights.
Conclusions:
- The i-PDR system offers a reliable solution for indoor navigation with effective obstacle detection.
- The hybrid approach enhances safety by identifying obstacles at various heights, improving the user experience.
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