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Image-Based and Sensor-Based Approaches to Arabic Sign Language Recognition

机译:基于图像和基于传感器的阿拉伯手语识别方法

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摘要

Sign language continues to be the preferred method of communication among the deaf and the hearing-impaired. Advances in information technology have prompted the development of systems that can facilitate automatic translation between sign language and spoken language. More recently, systems translating between Arabic sign and spoken language have become popular. This paper reviews systems and methods for the automatic recognition of Arabic sign language. Additionally, this paper highlights the main challenges characterizing Arabic sign language as well as potential future research directions.
机译:手语仍然是聋哑人和听力障碍者之间交流的首选方式。信息技术的进步促使系统的发展,可以促进手语和口语之间的自动翻译。最近,在阿拉伯语符号和口语之间转换的系统变得很流行。本文回顾了自动识别阿拉伯手语的系统和方法。此外,本文重点介绍了阿拉伯手语的主要挑战以及潜在的未来研究方向。

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