Published Paper Details:

Sign recognition plays a key role in human-computer communication and sign language interpretation. The purpose of this proposed system is to develop a hand gesture recognition system to control media. Sign language is an effective alternative for communication between dumb and stupid people. Using hand gestures directly on the device, the proposed system enables effective communication without intermediate media. The system aims to recognize and use hand gestures to control the functions of a multimedia player, which provides a smooth and intuitive user experience. Hand gesture recognition through computer vision has received considerable attention due to many applications in human-computer interaction, sign language recognition. , virtual reality, and more. The goal of this project is to develop an efficient system for real-time recognition and interpretation of hand gestures using computer vision techniques. The performance of the project is evaluated based on accuracy, speed and robustness in recognizing different hand gestures under environmental conditions, including different lighting conditions, hand orientations and backgrounds. Overall, this project aims to promote the development of intuitive and efficient human-computer interaction systems using computer vision techniques to achieve accurate hand gesture.