智能眼镜上的手势控制框架

Chih-Hsiang Yu, Wen-Wei Peng, Shys-Fan Yang-Mao, Yuan Wang, W. Chinthammit, H. Duh
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引用次数: 6

摘要

本文提出了一种基于智能眼镜的手势控制框架。提出了三种不同的相机结构来检测手部分,摩尔邻居跟踪算法能够更有效、更自动地检测手的轮廓。我们不仅改进了肤色模型,而且改进了Chamfer匹配方法,使手势识别更加鲁棒和有效。通过使用手势控制框架实现了演示。为各种功能预先定义了几种手势,例如选择虚拟3D对象、旋转、放大或缩小以及更改3D对象的显示属性。
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A hand gesture control framework on smart glasses
In this paper, we proposed a hand gesture control framework on smart glasses. Three different camera structures were presented to detect the hand portion, and the Moore's Neighbor tracing algorithm detects the hand contour more efficiently and automatically. We not only refined the skin-color model but also improved the Chamfer matching method for the robust and effective gesture recognition. A demonstration has been implemented by using the hand gesture control framework. Several gestures are pre-defined for various functions, such as selecting a virtual 3D object, rotating, zooming in or zooming out, and changing display properties of the 3D object.
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