• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Seminar on Intelligent Technology and Its Applications >Indonesian Sign Language Recognition by Using the Static and Dynamic Features
【24h】

Indonesian Sign Language Recognition by Using the Static and Dynamic Features

机译：利用静态和动态特征识别印尼手语

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

some hearing-impaired people face a communication problem. Even though they can communicate with others by using sign language, but a lot of people cannot understand the sign language. As a consequence, they can only communicate with limited people. Therefore, we need a Sign Language Recognition System (SLRs) which catch the sign language and translate them into text. Some research about SLRs have been done in some countries. But only a few people conducted research on Indonesian sign language. Further, the research were limited to static features for recognizing static sign language. Other researcher conducted a research on dynamic features, but the dynamic features were good only for dynamic sign language. Thus, in this study we proposed the integration between the static features and dynamic features to recognise both static sign language and dynamic sign language. In this study we conducted two integration scenario. Based on our experiment, recognising whether a gesture was static or dynamic before doing classification produced a good result. The accuracy of this proposed study reach 89% to recognise 20 words.
机译：一些听力受损的人面临沟通问题。即使他们可以使用手语与他人交流，但许多人仍无法理解手语。结果，他们只能与有限的人交流。因此，我们需要一种手语识别系统（SLR），它可以捕获手语并将其翻译为文本。一些国家已经对单反相机进行了一些研究。但是只有少数人对印尼手语进行了研究。此外，该研究限于用于识别静态手语的静态特征。其他研究人员对动态特征进行了研究，但是动态特征仅对动态手语有用。因此，在这项研究中，我们提出了静态特征和动态特征之间的集成，以识别静态手语和动态手语。在本研究中，我们进行了两种集成方案。根据我们的实验，在进行分类之前识别手势是静态的还是动态的都会产生很好的结果。这项提议的研究的准确性达到89％，可以识别20个单词。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号