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A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
Published on: February 11, 2014
AI-driven, low-cost aids for people with visual impairment
Francesco Cappellani1,2, Martin Snyder2, Jose S Pulido2
1Faculty of Medicine and Surgery, University of Enna Kore, Enna, Italy.
Artificial intelligence (AI) is making assistive technology more accessible for visually impaired individuals. Emerging AI tools in consumer devices offer affordable, integrated support, though clinical validation is still needed.
Area of Science:
- Assistive Technology
- Artificial Intelligence
- Ophthalmology
Background:
- Mainstream consumer devices increasingly incorporate artificial intelligence (AI).
- This presents new opportunities for accessible, low-cost assistive tools for individuals with visual impairment.
- Emerging AI tools repurpose common hardware like smartphones and smart glasses for assistive functions.
Purpose of the Study:
- To review emerging AI-driven tools that leverage common hardware for visual impairment assistance.
- To examine how these tools offer alternatives to costly, specialized assistive devices.
- To highlight the shift towards affordable, integrated assistive technologies.
Main Methods:
- Review of emerging AI-driven assistive technologies.
- Analysis of tools repurposing smartphones and smart glasses.
- Examination of platforms like Ray-Ban × Meta smart glasses, Apple's iPhone Magnifier app, and Be My Eyes.
Main Results:
- Three representative technologies demonstrate AI's role: smart glasses for scene interpretation, smartphone apps for spatial awareness and text recognition, and virtual assistants for image interpretation.
- These tools prioritize affordability, discreet design, and daily life integration.
- Widespread adoption is noted, but formal clinical evaluation regarding functional outcomes, safety, and performance is limited, with user-generated content often leading peer-reviewed research.
Conclusions:
- AI-enabled consumer devices are transforming assistive technology by reducing costs and improving usability.
- Clinicians must be aware of these rapidly evolving tools as patient adoption increases.
- Further rigorous studies are essential to evaluate clinical impact, ensure safe use, and guide integration into vision rehabilitation.
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