A Survey of Vision Based Hand Gesture Recognition
نویسنده
چکیده
Gesture recognition is to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body. Hand Gestures have greater 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. This exploratory survey aims to provide a progress report on static and dynamic hand gesture recognition, gesture taxonomies, representations. Vision based Gesture recognition has the potential to be a natural and powerful tool supporting efficient and intuitive interaction between the human and the computer. Visual interpretation of hand gestures can help in achieving the ease and naturalness desired for Human Computer Interaction (HCI). It focuses on the three main phases of hand gesture recognition i.e. detection, tracking and recognition.
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