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