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Gesture Recognition Using Dynamic Time Warping and Kinect: A Practical Approach

机译:使用动态时间翘曲和kinect的手势识别:一种实用的方法

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摘要

This paper describes a detailed methodology that allows gesture recognition performed with the upper limbs of the human body, based on Dynamic Time Warping (DTW) technique using a Kinect in order to control a slide-show. Several involved parameters on the DTW algorithm will be analyzed allowing an accurate recognition, considering variations on the gesture velocity and even if subject's physical shape differ. A software was developed in Microsoft Visual C# to show and test how different parameters affects the performance of the algorithm. Finally an accuracy of 84.07% was obtained in this approach.
机译:本文介绍了一种详细的方法,其允许基于使用Kinect的动态时间翘曲(DTW)技术与人体的上肢进行手势识别,以便控制幻灯片。将分析DTW算法上的几个参数允许准确识别,考虑到姿态速度的变化,以及即使受试者的物理形状不同。在Microsoft Visual C#中开发了一种软件,以显示和测试不同的参数如何影响算法性能。最后,在这种方法中获得了84.07 %的准确性。

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