Virtual Mouse using Hand Gestures-Eye Speech Recognition

This research introduces a novel virtual mouse system that combines eye movements, hand gestures, and voice commands for a more intuitive and accessible user experience. By integrating deep learning models, the system accurately recognizes hand gestures, tracks eye gaze, and processes voice commands. This multimodal approach offers a robust and adaptable solution for various user needs, particularly for individuals with disabilities. The system's real-time performance and seamless integration of different input modalities enhance user experience and efficiency. This research contributes to the advancement of human-computer interaction, paving the way for more innovative and inclusive user interfaces.