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Head-mounted Mobility Aid for Low Vision using Scene Classification Techniques

M. R. Everingham, B. T. Thomas, T. Troscianko, Head-mounted Mobility Aid for Low Vision using Scene Classification Techniques. The International Journal of Virtual Reality, 3 (4). ISSN 1081-1451, pp. 3–12. August 1999. PDF, 484 Kbytes.

Abstract

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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