Melissa Aaqila Mohamad Aziz Binti Abdullah SEKOLAH MENENGAH SAINS KUCHING UTARA
This abstract introduces a novel system for controlling laptop screens using hand gestures. Leveraging computer vision and machine learning, the system detects and interprets hand movements in real-time video streams. By recognizing predefined gestures, such as swiping or tapping, users can interact with their laptops without physical input devices. This innovation promises enhanced user experience and accessibility, with potential applications in presentations, media playback, and accessibility features. Gesture-based control represents a significant advancement in human-computer interaction, offering intuitive and ergonomic interaction with technology.