gayathri1462/Controlling-Media-Player-with-Hand-Gestures-using-Convolutional-Neural-Network
An application to control media player from distance using hand gestures. It was developed by creating a hand gestures dataset using OpenCV, building a 2D CNN model for feature extraction and classification, and integrating the Keyboard keys to hand gestures using the PyAutoGUI library. whenever a gesture is predicted, the corresponding action is performed on the Media Player. Also, created a user interface using the Streamlit web framework and deployed source files with demo using streamlit.io sharing.
This web application lets you control any media player using natural hand gestures detected by your device's camera. You simply show a gesture like a palm, fist, or thumbs up/down to your camera, and the media player responds with actions like play, pause, or skip. This is perfect for anyone who wants a hands-free way to manage their media content.
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Use this if you want to control your computer's media player from a distance without needing to touch your keyboard or mouse.
Not ideal if you prefer physical controls or require extremely precise, complex, or rapid-fire inputs beyond basic media playback.
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Jan 27, 2022
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