使用计算机视觉访问电器显示器。

Giovanni Fusco, Ender Tekin, Richard E Ladner, James M Coughlan
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引用次数: 21

摘要

盲人或视力受损的人在使用越来越多的日常设备时面临困难,这些设备需要进行各种各样的日常活动,因为他们配备了电子显示器。为了解决这个问题,我们正在开发一款“显示屏阅读器”智能手机应用程序,它使用计算机视觉来帮助用户获取显示器的可用图像。目前的原型机分析来自智能手机摄像头的视频,根据图像模糊和眩光的自动估计,提供实时反馈来指导用户,直到获得满意的图像。对几名盲人和视障参与者进行了形成性研究,他们的反馈指导了用户界面的开发。原型软件已经作为一个自由和开源(FOSS)项目发布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Using Computer Vision to Access Appliance Displays.

People who are blind or visually impaired face difficulties accessing a growing array of everyday appliances, needed to perform a variety of daily activities, because they are equipped with electronic displays. We are developing a "Display Reader" smartphone app, which uses computer vision to help a user acquire a usable image of a display, to address this problem. The current prototype analyzes video from the smartphone's camera, providing real-time feedback to guide the user until a satisfactory image is acquired, based on automatic estimates of image blur and glare. Formative studies were conducted with several blind and visually impaired participants, whose feedback is guiding the development of the user interface. The prototype software has been released as a Free and Open Source (FOSS) project.

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