Communicaton On Mobile Phone For The Deaf Using Image Recognition

B. Soewito, Alexander Khrisna Satyadhana, Raymond, Sarah Maria
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Abstract

Sign language is an absolute thing that is mastered by some people, especially people who have hearing or deaf problems. Problems will occur if they want to communicate via mobile devices. They have to use an application that translate sign language to text and vice versa. The research in this field still open because each language will have different sign language. In the other hand the image that was captured by the mobile devices depend on the environment such as brightness and the background. The sign language captured with static background has high accuracy compared with dynamic background that has colorful background. Most of research do not include the dynamic background. Therefore in this study introduced an application used image recognition that can translate sign language with dynamic background into a text so that it can be used to communicate among people who have hearing problems and also between deaf and normal people. The experimental showed that accuracy of our system is 87%.
使用图像识别的聋人手机通讯
手语绝对是一些人掌握的东西,尤其是那些有听力或失聪问题的人。如果他们想通过移动设备进行交流,就会出现问题。他们必须使用一个将手语翻译成文本的应用程序,反之亦然。由于每种语言都会有不同的手语,这一领域的研究仍处于开放状态。另一方面,移动设备捕获的图像取决于环境,如亮度和背景。静态背景下捕获的手语相对于彩色背景下的动态背景具有更高的准确率。大多数研究都不包括动态背景。因此,本研究介绍了一种基于图像识别的应用程序,该应用程序可以将具有动态背景的手语翻译成文本,从而用于听力障碍者之间以及聋人与正常人之间的交流。实验表明,该系统的准确率为87%。
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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