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Designing a sign language translation system using kinect motion sensor device

机译:使用kinect运动传感器设备设计手语翻译系统

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Hand gesture is one of the most natural and expressive ways for the hearing impaired. However, because of the complexity of dynamic gestures either static gestures, postures, or a small set of dynamic gestures are focused by most researchers. In this paper, Kinect Motion Sensor Device is used to recognize the gesture of the user. But the gesture of each user of a particular word will be slightly different. As real-time recognition of a large set of dynamic gestures is considered, some efficient algorithms and models are needed. Here an efficient algorithm is used to recognize the gesture and translate them. In this paper, in order to recognize the gesture in both training and translation mode a grid view algorithm has been used. We evaluated our system by translating gesture by various people for twelve different words and experimental results reveals that our proposed system has about eighty percent success rate in translating gestures.
机译:手势是听力受损的最自然,最富有表现力的方式之一。但是,由于动态手势的复杂性,大多数研究人员都关注静态手势,姿势或少量动态手势。在本文中,Kinect运动传感器设备用于识别用户的手势。但是,每个特定单词的用户的手势将略有不同。由于考虑了对大量动态手势的实时识别,因此需要一些有效的算法和模型。在这里,一种有效的算法用于识别手势并将其翻译。在本文中,为了在训练和翻译模式下都识别手势,使用了网格视图算法。我们通过将不同的人翻译十二个不同的单词来评估我们的系统,实验结果表明,我们提出的系统翻译手势的成功率约为80%。

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