期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：4
出版社：SERSC
摘要：Among the various hand gestures, pointing gesture is highly intuitive, and does not require any priori assumptions. A major problem for pointing gesture recognition is the difficulty of pointing fingertip tracking and the unreliability of the direction estimation. A novel real-time method is developed for pointing gesture recognition using Kinect based depth image and skeletal points tracking. An adaptive virtual touch screen is constructed instead of estimating pointing direction. When a user stands in a certain distance from a large screen to perform pointing behaviors, he interacts with the virtual touch screen as if it is just right in front of him. The proposed method is suitable for both large and small pointing gestures, and it’s not subject to users’ characteristics and environmental changes. Experiments have highlighted that the proposed approach is robust and efficient to realize human-computer interaction based on pointing gesture recognition by comparisons.
