实时手语翻译系统研究综述

Maria Papatsimouli, Konstantinos-Filippos Kollias, L. Lazaridis, George S. Maraslidis, Herakles Michailidis, P. Sarigiannidis, G. Fragulis
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引用次数: 2

摘要

有些人不能以同样的方式与他人交流。聋哑人和重听人使用手语与其他人交流。手语也用于聋人与非聋人之间的交流,包括不同类型的手势和面部表情,用于交流和情感表达。手语识别和基于手势的控制是手势识别技术使用的应用程序,事实上,这项技术减少了沟通差距,而这些系统用于将手势转换为文本或语音。我们的研究重点是分析用于语言翻译的实时手语翻译器。本文分析了2017年至2021年开发的手语翻译系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real Time Sign Language Translation Systems: A review study
There are people who cannot communicate in the same way with others. Deaf and hard-of-hearing people use sign languages for their communication with other people. Sign languages are also used for the communication between deaf and non-deaf people, including different types of hand gestures and facial expressions for communication and emotional expression. Sign language recognition and gesture-based controls are applications that are used by gesture recognition technologies, and it is a fact that this technology has reduced the communication gap, while these systems are used for converting gestures to text or speech. The focus of our research is to analyze real-time sign language translators that are used for language translation. Sign Language Translation Systems that were developed from 2017 to 2021 are analysed in this paper.
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