Abstract: The paper suggests a novel method for using hand motions to create a virtual mouse interface. There are drawbacks to the conventional mouse and keyboard interface, especially in situations when users need to engage without using their hands, like in augmented reality (AR), virtual reality (VR), and smart surroundings. It attempts to create a reliable and user-friendly system that allows people to control a computer cursor using hand movements recorded by a camera by utilizing computer vision techniques and machine learning algorithms .Cursor control, gesture recognition, and hand detection are three of the main parts of the proposed system. Finding and following the user's hand within the camera's range of vision is known as hand detection. Techniques including skin colour segmentation, backdrop subtraction, and deep learning-based object detection may be used in this procedure.
Keywords: convolutional neural networks (CNNs), virtual reality (VR), augmented reality (AR), hand gesture recognition systems.
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DOI:
10.17148/IJARCCE.2024.134203
