Hand gesture is one of the most popular communication methods in everyday life. In human-computer interaction applications, hand gesture recognition provides a natural way of communication between humans and computers. There are mainly two methods of hand gesture recognition: glove-based method and vision-based method. In this paper, we propose a vision-based hand gesture recognition method using Kinect. By using the depth information is efficient and robust to achieve the hand detection process. The finger labeling makes the system achieve pose classification according to the finger name and the relationship between each fingers. It also make the classification more effective and accutate. Two kinds of gesture sets can be recognized by our system. According to the experiment, the average accuracy of American Sign Language(ASL) number gesture set is 94.33%, and that of general gestures set is 95.01%. Since our system runs in real-time and has a high recognition rate, we can embed it into various applications.

Electronic book is usually used for users who want to read the text book with multimedia contents like video and audio. Many electronic books have been proposed with new interactive technologies such as spectacular multimedia effect, but these books lack in analog sensitivity and have only one way-based information interaction, and consequently those are inefficient for users. To solve the problem, in this paper, we propose a touch based interactive electronic-book; named RealBook, which can improve the interaction skill of the conventional electronic books by applying computer vision technology with SURF algorithm. Our method can use analog sensitivity and fuse digital effects by using user-centric gestures recognition skill. In the near future, we will develop a more unique and interesting system by introducing various gestures for the interaction.