What question did this study set out to answer?

The aim is to develop a system that enables media control through hand gestures, enhancing user interaction.

May 14, 2026Open Access

Gesture based Media controller

Key Points

The aim is to develop a system that enables media control through hand gestures, enhancing user interaction.
Utilized OpenCV for hand movement detection via webcam.
Employed MediaPipe for real-time gesture recognition.
Integrated PyAutoGUI for executing media commands based on detected gestures.
Successfully detected and recognized multiple hand gestures with high accuracy.
Enabled media functions like play, pause, and volume control through gesture commands.
Improved accessibility and user experience in media playback.

Abstract

Gesture-Based Media Controller is a computer vision project that allows users to control media functions using hand gestures. The system uses OpenCV, MediaPipe, and PyAutoGUI to detect hand movements through a webcam and perform actions such as play, pause, volume control, and track navigation. This project provides a touchless and user-friendly human-computer interaction system.

Read Full Paperexternally

اسأل الذكاء الاصطناعي

Bookmark

View Full Paper