April 2014
Volume 55, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2014
Improved mobility with depth-based residual vision glasses
Author Affiliations & Notes
  • Stephen Lloyd Hicks
    Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
  • Iain Wilson
    Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
  • Joram Jacob van Rheede
    Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
  • Robert E MacLaren
    Oxford Eye Hospital, University of Oxford, Oxford, United Kingdom
    Nuffield Laboratory of Ophthalmology, University of Oxford, Oxford, United Kingdom
  • Susan M Downes
    Oxford Eye Hospital, University of Oxford, Oxford, United Kingdom
    Nuffield Laboratory of Ophthalmology, University of Oxford, Oxford, United Kingdom
  • Christopher Kennard
    Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
  • Footnotes
    Commercial Relationships Stephen Hicks, None; Iain Wilson, None; Joram van Rheede, None; Robert MacLaren, None; Susan Downes, None; Christopher Kennard, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 2153. doi:
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    • Get Citation

      Stephen Lloyd Hicks, Iain Wilson, Joram Jacob van Rheede, Robert E MacLaren, Susan M Downes, Christopher Kennard; Improved mobility with depth-based residual vision glasses. Invest. Ophthalmol. Vis. Sci. 2014;55(13):2153.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract
 
Purpose
 

The majority of legally blind individuals retain some residual vision. While this may be insufficient for obstacle detection it is often enough to perceive a bright nearby display. We developed a wearable visual aid that displays the size and distance of nearby objects as bright regions of light. We reasoned that such a display could provide an intuitive and simplified field of view that would permit the wearer to detect and avoid obstacles at a distance.

 
Methods
 

Residual Vision Glasses (RVG) were built from two small OLED displays mounted within 3 cm of the eye, without focussing optics. A head-mounted depth camera (Primesense) provided real-time three dimensional scene data which was converted into a depth map and presented on the displays such that nearby objects appeared brighter (Figure 1). 4 controls and 12 sight impaired participants with conditions including AMD, retinitis pigmentosa and retinal dystrophy were recruited from the local population; average (± 1SD) age = 54yr (± 18) LogMAR = 1.26 (± 0.3). Each participant was given a short orientation with the RVGs and then asked to navigate an obstacle course 15 x 5 metres consisting of a set of 1.2 m foam pillars or a set of doorways. Participants performed both tasks with and without the RVGs. The depth detection range of the RVGs was artificially limited to 4 metres.

 
Results
 

All participants were able use the RVGs to correctly report when they faced a nearby obstacle and the majority of participants could use the displays to walk the obstacle course. Performance was quantified as the distance at which a person began deviating away from a collision course with an obstacle. Unaided controls began deviating up to 5 metres, whereas unaided sight impaired participants began deviating between 1 and 4 metres from obstacles. When using the RVGs both controls and sight impaired individuals began deviating at an average distance of 3 metres. An improvement in object detection distance was found in the majority of participants (Figure 2).

 
Conclusions
 

With a small amount of training, sight impaired individuals were able to use RVGs to identify obstacles up to the distance limit set by the camera. In many cases this was an improvement over their unaided state. Further work is under way to assess the benefit of see-through displays and increased distance detection.

 
 
Residual Vision Glasses from the wearer's point of view.
 
Residual Vision Glasses from the wearer's point of view.
 
 
Object detection and avoidance distance with and without RVG.
 
Object detection and avoidance distance with and without RVG.
 
Keywords: 584 low vision • 465 clinical (human) or epidemiologic studies: systems/equipment/techniques • 717 space and scene perception  
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