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首页> 外文会议>International Conference on Advances in ICT for Emerging Regions >An automated vision based recognition system for Sri Lankan Tamil sign language finger spelling
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An automated vision based recognition system for Sri Lankan Tamil sign language finger spelling

机译：斯里兰卡泰米尔语手语手指拼写的基于视觉的自动识别系统

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As computers become more and more pervasive in human lives, the need for natural and effective Human Computer Interaction (HCI) becomes more important than ever. Speech recognising and voice commanding remain to play an important role in the HCI field. However, these systems are restricted for deaf community. In Sri Lanka, the native language of the deaf community is Sri Lankan sign language, which defines set of vocabulary of gestures corresponding to frequently used words. If a word is not defined, they are spelt out the word using gestures that correspond to the letters in the Sinhala or Tamil alphabet. In this paper, authors investigate as regards Sri Lankan Tamil sign language finger spelling alphabet, problem of recognising Sri Lankan Tamil finger spelling from vision based recognition and technical challenges behind it.
机译：随着计算机在人类生活中变得越来越普遍，对自然有效的人机交互（HCI）的需求比以往任何时候都更加重要。语音识别和语音命令在HCI领域仍然发挥着重要作用。但是，这些系统仅限于聋人社区。在斯里兰卡，聋人社区的母语是斯里兰卡手语，它定义了与常用单词相对应的手势词汇集。如果未定义单词，则使用与僧伽罗语或泰米尔语字母中的字母相对应的手势将它们拼出单词。在本文中，作者研究了斯里兰卡泰米尔语手语拼写字母，从基于视觉的识别中识别斯里兰卡泰米尔语手指拼写的问题以及其背后的技术挑战。

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