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A recognition system of sign-language sentences integrating hand gestures and head movements

机译:手势与头部动作相结合的手语句子识别系统

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Japanese sign language (JSL) is one of communication methods for hearing-impaired people in Japan. We are developing a method for recognizing JSL gestures. This method recognizes each signed word represented in the inputted JSL gestures. To translate JSL into Japanese, the relationships between signed words have to be analyzed based on JSL grammar. Most of grammatical information in JSL is conveyed by non-manual signs (NMSs) such as facial expressions, glances and nods. However, the functions of NMSs are not clear in JSL. We focused on head movements among the NMSs in JSL and analyzed their grammatical functions. In this paper, we will describe the result of the analysis. And we propose a method for recognizing JSL sentences that analyzes the relationships between signed words based on the functions of head movements.
机译:日语手语(JSL)是日本听力障碍人士的一种交流方式。我们正在开发一种识别JSL手势的方法。此方法识别输入的JSL手势中表示的每个签名单词。要将JSL翻译成日语,必须根据JSL语法分析带符号的单词之间的关系。 JSL中的大多数语法信息都是通过非手动符号(NMS)传达的,例如面部表情,扫视和点头。但是,JSL中尚不清楚NMS的功能。我们重点研究了JSL中NMS之间的头部运动,并分析了它们的语法功能。在本文中,我们将描述分析结果。并且我们提出了一种基于头部运动功能的JSL句子识别方法,该方法分析了签名单词之间的关系。

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