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Article Dans Une Revue International Journal of Virtual Reality Année : 2015

HEAD-MOUNTED MOBILITY AID FOR LOW VISION USING SCENE CLASSIFICATION TECHNIQUES

Résumé

This paper describes a new mobility aid for people with severe visual impairments which combines technology from the field of virtual reality with advanced computer vision techniques. A neural-network classifier is used to identify objects in images from a head mounted camera so that scene content specifically important for mobility may be made more visible. Enhanced images are displayed to the user on a head mounted display using a high saturation colour scheme where each type of object has a different colour, resulting in images which are highly visible and easy to interpret. The object classifier achieves a level of accuracy over 90%. Results from a pilot study conducted using people with a range of visual impairments are presented in which performance on a difficult mobility-related task was improved by over 100% using the system.

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Dates et versions

hal-01530641 , version 1 (31-05-2017)

Identifiants

  • HAL Id : hal-01530641 , version 1

Citer

M R Everingham, B T Thomas, T Troscianko. HEAD-MOUNTED MOBILITY AID FOR LOW VISION USING SCENE CLASSIFICATION TECHNIQUES. International Journal of Virtual Reality, 2015, 03 (4), pp.1-10. ⟨hal-01530641⟩

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