Wearable computing for image-based indoor navigation of the visually impaired

Gladys Garcia, A. Nahapetian
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引用次数: 18

Abstract

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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用于视障人士基于图像的室内导航的可穿戴计算
本文提出了一种基于图像的视觉障碍者室内无干扰导航系统。该系统利用图像处理算法从可穿戴式眼戴式抬头显示设备捕获的图像中提取地板区域。提出了一个名为VirtualEyes的原型系统,该系统可以分析地板区域,为用户提供语音导航。地板检测算法针对从不同照明条件下的室内走廊捕获的200多幅图像进行了测试,准确率高达81.8%。
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