Open AccessWearable computing for image-based indoor navigation of the visually impaired
Author(s) -
Gladys Garcia,
Ani Nahapetian
Publication year - 2015
Publication title -
john spoor broome library institutional repository (california state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2811780.2811959
Subject(s) - visually impaired , wearable computer , computer science , computer vision , artificial intelligence , computer graphics (images) , wearable technology , human–computer interaction , embedded system
In this paper, an image-based non-obtrusive indoor navigation system for the visually impaired is presented. The system makes use of image processing algorithms to extract floor regions from images captured from a wearable eye-mounted heads-up display device. A prototype system called VirtualEyes is presented, where floor regions are analyzed to provide the user with voiced guidance for navigation. The floor detection algorithm was tested against over 200 images captured from indoor corridors of various lighting conditions and achieved up to 81.8% accuracy.
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