Tekin Ender, Coughlan James M
The Smith-Kettlewell Eye Research Insitute, San Francisco, CA.
Comput Help People Spec Needs. 2010 Jul;6180:290-295. doi: 10.1007/978-3-642-14100-3_43.
While there are many barcode readers available for identifying products in a supermarket or at home on mobile phones (e.g., Red Laser iPhone app), such readers are inaccessible to blind or visually impaired persons because of their reliance on visual feedback from the user to center the barcode in the camera's field of view. We describe a mobile phone application that guides a visually impaired user to the barcode on a package in real-time using the phone's built-in video camera. Once the barcode is located by the system, the user is prompted with audio signals to bring the camera closer to the barcode until it can be resolved by the camera, which is then decoded and the corresponding product information read aloud using text-to-speech. Experiments with a blind volunteer demonstrate proof of concept of our system, which allowed the volunteer to locate barcodes which were then translated to product information that was announced to the user. We successfully tested a series of common products, as well as user-generated barcodes labeling household items that may not come with barcodes.
虽然有许多条形码阅读器可用于在超市识别产品或供在家中使用手机的人使用(例如,Red Laser iPhone应用程序),但由于这些阅读器依赖用户的视觉反馈来将条形码置于相机视野中心,盲人或视力受损者无法使用。我们描述了一种手机应用程序,它使用手机内置摄像头实时引导视力受损用户找到包装上的条形码。一旦系统找到条形码,就会向用户发出音频信号,提示其将相机靠近条形码,直到相机能够识别,然后对条形码进行解码,并使用文本转语音功能大声读出相应的产品信息。对一名盲人志愿者进行的实验证明了我们系统的概念验证,该系统使志愿者能够找到条形码,然后将其转换为产品信息并读给用户听。我们成功测试了一系列常见产品,以及用户生成的用于标记可能没有条形码的家居用品的条形码。