Hand Gesture Based Video Playback and Volume Adjustment System Using Computer Vision

Abstract

Gesture-based interaction provides a natural and contactless way to control multimedia systems, reducing reliance on traditional input devices. This project presents a Hand Gesture Based Video Playback and Volume Adjustment System using Computer Vision techniques. The system leverages real-time hand tracking and gesture recognition to perform essential video control functions such as play, pause, scroll down, screenshot and volume adjustment. By mapping specific hand gestures to playback commands, users can interact with the system naturally without relying on physical devices such as remote controls or keyboards. Volume control is achieved by measuring the distance between the index finger and the thumb, enabling smooth and continuous audio adjustment.