Wave Your Way: Navigation Through Hand Gestures

Several technologies are continuously developing in today’s technological world where human-computer interaction is very important. In human-computer interactions, hand gesture recognition is essential. We can control our system by showing our hands in front of a webcam, and hand gesture recognition can be useful for all kinds of people. A specific interactive module like a virtual mouse that makes use of Object Tracking and Gestures will help us interact and serve as an alternative way to the traditional touchscreen and physical mouse. The system allows people to control a computer cursor using hand movements recorded by a camera by utilizing computer vision techniques and machine learning algorithms. Three key components of the suggested system are hand detection, gesture recognition, and cursor control. Hand detection is the process of locating and tracking the user's hand within the camera's field of view. This process may employ methods such as deep learning-based object detection, backdrop subtraction, and skin colour segmentation. In this, we can also capture the gestures clearly even when the camera quality is poor, and it can provide better navigation without any clumsiness. KEYWORDS: Hand Gesture Recognition, Human-Computer Interaction, Computer Vision, video capturing, Python Libraries, Accessibility, Real-Time Systems, speech Recognition.