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Gesture identification for system navigation in 3D scene

机译:3D场景中系统导航的手势识别

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This paper describes the approach used to detect hand postures in computationally undemanding manner. The approach employs some features of the Microsoft Kinect sensor and applies simple geometric calculations and simplifications to effectively detect static hand gestures in real time and under changing lighting and background conditions. The results are further applicable to dynamic gesture recognition, and will be used as a partial result in EU FPVs HBB-Next project.
机译:本文介绍了用于以计算不当方式检测手势的方法。该方法采用Microsoft Kinect传感器的一些功能,并应用简单的几何计算和简化,以实时检测静态手势,并在更改的照明和后台条件下进行静态手势。结果进一步适用于动态手势识别,并将用作欧盟FPVS HBB-Next项目的部分结果。

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