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A wireless dynamic gesture user interface for HCI using hand data glove

机译:使用手部数据手套的HCI无线动态手势用户界面

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In this paper, DG5 hand data glove is used to design an intelligent and efficient human-computer interface to interact with VLC media player. It maps the static keyboard with dynamic human hand gestures with 22 Degree of Freedom (DoF) to interact more natural way with computer. The result is very much appreciated showing the confusion matrix of various gestures used. In this paper, 10 complex gestures are used, that is Play, Pause, Forward, Backward, Next, Previous, Stop, Mute, Full Screen, and Null gestures. To study about the human-hand gestures four different age groups are taken, User A (20–30 years), User B (31–45 years), User C (46–60 years), and User D (61-above years). The decision tree a powerful learning algorithm is used to classify these gestures correctly. This enhances the user's interaction level with immersion feeling in augmented reality to 98.88% of accuracy rate.
机译:在本文中,DG5手持数据手套用于设计一种智能高效的人机界面,以与VLC媒体播放器进行交互。它以动态人手手势和22自由度(DoF)映射静态键盘,以与计算机进行更自然的交互。非常感谢显示了所使用的各种手势的混淆矩阵的结果。在本文中,使用了10种复杂的手势,即播放,暂停,前进,后退,下一个,上一个,停止,静音,全屏和空手势。为了研究人的手势,采用了四个不同的年龄段:用户A(20-30岁),用户B(31-45岁),用户C(46-60岁)和用户D(61岁以上) )。决策树是一种功能强大的学习算法,可用于正确地对这些手势进行分类。这将用户的互动程度提升为增强现实中的沉浸感,达到准确率的98.88%。

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