WINDOWS CONTROLLING USING HAND GESTURE
Keywords:
Hand Gesture Recognition, Computer Vision, Real-Time Processing, Webcam Input, Windows Application ControlAbstract
This document gives information about the implementation of the project Windows Controlling using Hand Gestures. The proposed system uses Computer Vision techniques to recognize hand gestures captured by a webcam in real time. The system's architecture comprises three main stages: hand detection, gesture recognition, and Windows application control. The proposed system makes use of Computer Vision techniques to recognize and understand hand gestures captured by a webcam in real time. The system's architecture comprises three main stages: hand detection, gesture recognition, and Windows application control.
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Copyright (c) 2024 Pratik Pramod Alkutkar, Anurag Chandan Angal, Ameya Ajit Kabir, Ashwini A. Kokate (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
