Hand Gesture Recognization Using Virtual Canvas

Abstract

Computer vision based hand tracking can be used to interact with computers in a new innovative way. The input components of a normal computer system include keyboard, mouse, joystick are avoided. Gesture recognition pertains to recognizing meaningful expressions of motion by a human, involving the hands, fingers, arms, head, and/or body. It is of utmost importance in designing an intelligent and efficient human–computer interface. The applications of gesture recognition are manifold, ranging from sign language through medical rehabilitation to virtual reality. In this paper, we provide a survey on gesture recognition with particular emphasis on hand gestures and facial expressions. Existing challenges and future research possibilities are also highlighted. Gestures are expressive, meaningful body motions involving physical movements of the fingers, hands, arms, head, face, or body with the intent of conveying meaningful information orinteracting with the environment. A gesture may also be perceived by the environment as a compression technique for the information to be transmitted elsewhere and subsequently reconstructed by the receiver