Improving Mobility Performance in Low Vision With a Distance-Based Representation of the Visual Scene

Area of Science:

• Human-Computer Interaction
• Assistive Technology
• Vision Science

Background:

• Severe visual impairment significantly impacts personal independence, particularly mobility.
• Assessing mobility in individuals with vision impairment is crucial for developing effective assistive technologies.

Purpose of the Study:

• To investigate if presenting the visual environment in a distance-based manner can enhance mobility for individuals with severe visual impairment.
• To determine the efficacy of novel

Main Methods:

• Developed residual vision glasses (RVGs) with a depth camera and brightness-based displays to represent obstacle distances.
• Assessed RVG impact on mobility performance using obstacle courses and continuous position monitoring.
• Analyzed temporal dynamics of walking behavior, including obstacle detection and hesitations.

Main Results:

• All participants successfully navigated the courses using RVGs.
• Mobility performance improved in visually impaired participants with the poorest baseline mobility.
• A trade-off was observed: slower walking speeds and increased hesitations occurred with the altered visual input.

Conclusions:

• Depth-based visual environment representation via RVGs shows potential for improving independent mobility in low-vision patients.
• Further research is needed to ascertain if practice can mitigate the observed decreases in walking speed and increased hesitations.