Authors : B. Sri Ramya; Ch. Bhargavi; P. Dhanumjaya; P. N. J. S. Siri; K. Vyshnavi; G. Kavya; Y. Pujitha

Volume/Issue : Volume 10 - 2025, Issue 4 - April

Google Scholar : https://tinyurl.com/328w939z

Scribd : https://tinyurl.com/5n6hfkhs

DOI : https://doi.org/10.38124/ijisrt/25apr992

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Abstract : Hand gesture video navigation system control provides a seamless and touch-free way to interact with multimedia systems, enhancing user convenience and accessibility. This project presents an automated system that enables users to control video playback using only hand movements, eliminating the need for physical remotes or touch screens. The system recognizes specific gestures to perform essential functions such as playing and pausing videos, fast-forwarding and rewinding, increasing and decreasing volume, and zooming in and out. A camera captures hand movementsin real time, and the system processesthese gesturesto execute corresponding video control commands. This intuitive approach enhances user experience, making video navigation more efficient and responsive. This project contributes to the advancement of touchless human- computer interaction, making video control more accessible and user-friendly across various applications. Here MediaPipe and OpenCV are playing a key role in the development of Hand gesture video navigation system.

Keywords : OpenCv, MediaPipe, Human ComputerInteraction (HCI), Gesture Recognition, Video playback

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