A Statistical Approach for 3D Hand Gesture Recognition

Abstract: In our daily life, gesture plays most important role and in order to convey data and motions of human being. The process of main aim is Hand gesture recognition can be seen as a way for computers to begin understand human body language , thus building a richer bridge between machines and humans. Current focuses in the field is recognition the hand in whole object and which can be used as a command by user. Many approaches have been made using cameras and computer vision algorithms to interpret sign language . This paper presents a some works on 3D hand gestures motion without using sensors. We first review the how to recognize the hand gesture by using HAAR features . Then, we review the research for 3d hand gesture recognition.

Keywords: Hand detection, hand identification ,motion detection, input image, training data base.