Both-hand gesture recognition based on KOMSM with volume subspaces for robot teleoperation
Both-hand gesture recognition based on KOMSM with volume subspaces for robot teleoperation
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DOI：
10.1109/cyber.2012.6392552
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发表时间：
2012-05
期刊：
影响因子：
--
通讯作者：
Martin Peris;Kazuhiro Fukui
中科院分区：
文献类型：
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作者：
Martin Peris;Kazuhiro Fukui
本文实现了一种实时手势识别系统，能够可靠地区分使用双手远程操作机器人的潜在大量手势。为此，我们利用内核正交互子空间方法（KOMSM，MSM 的扩展）并引入体积子空间的定义，它是使用 Microsoft Kinect 等传感器的深度图像生成的子空间类型。我们建议利用体积子空间的特性来准确分类机器人远程操作的手势。
This paper implements a real-time hand gesture recognition system capable of reliably discriminate a potentially large number of hand gestures using both hands to teleoperate a robot. For that we make use of Kernel Orthogonal Mutual Subspace Method (KOMSM, an extension of MSM) and introduce the definition of Volume Subspace, which is the type of subspace generated by using depth images from sensors like Microsoft Kinect. We propose to take advantage of the properties of Volume Subspace to accurately classify hand gestures for robot teleoperation.