期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2015
卷号：6
期号：4
页码：493-496
出版社：IJECCE
摘要：Human machine interaction by body language is becoming popular recently. With the help of 3D camera, video stream with depth information provides more detailed data to describe a movement. This paper proposed an algorithm to recognize dynamic gestures. Data preparation is needed first to eliminate some distractions. Then the start and the end of a possible meaningful gesture should be made clear. Finally, Dynamic Time Warping (DTW) is employed to calculate the similarity between a sample stream and the template. The test results show that the algorithm works well
关键词：Depth Information; Dynamic Time Warping; Gesture; Recognition
