Hand Gesture Video Navigation System

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.

Authors

Publication Details

Published
2025-04-30
DOI
https://doi.org/10.38124/ijisrt/25apr992
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Hand Gesture Video Navigation System

Paola Siri, Kuncham Pushpa Sri Vyshnavi, Ch. Bhargavi, B Ramya et al.
Hand Gesture Recognition Systems
article

Hand Gesture Video Navigation System

Paola Siri, Kuncham Pushpa Sri Vyshnavi, Ch. Bhargavi, B Ramya, G Kavya, P. Dhanumjaya, Y. Pujitha
article en

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.

Openalex Percentile: Top 92%
Hand Gesture Recognition Systems
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