Poster: Real-time markerless kinect based finger tracking and hand gesture recognition for HCI
Poster: Real-time markerless kinect based finger tracking and hand gesture recognition for HCI
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DOI：
10.1109/3dui.2013.6550241
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发表时间：
2013-03
期刊：
影响因子：
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通讯作者：
Arun K. Kulshreshth;Christopher Zorn;J. Laviola
中科院分区：
文献类型：
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作者：
Arun K. Kulshreshth;Christopher Zorn;J. Laviola
手势是与各种用户界面交互的直观方式。我们开发了一种实时手指跟踪技术，使用微软Kinect作为输入设备，并将其结果与使用K曲率算法的现有技术进行了比较。我们的技术计算特征向量的基础上检测到的手的轮廓上选择的等距点的傅立叶描述符，并使用模板匹配找到最佳匹配。我们的初步结果表明，我们的技术以及现有的基于k-曲率算法的手指检测技术。
Hand gestures are intuitive ways to interact with a variety of user interfaces. We developed a real-time finger tracking technique using the Microsoft Kinect as an input device and compared its results with an existing technique that uses the K-curvature algorithm. Our technique calculates feature vectors based on Fourier descriptors of equidistant points chosen on the silhouette of the detected hand and uses template matching to find the best match. Our preliminary results show that our technique performed as well as an existing k-curvature algorithm based finger detection technique.