In the ever-evolving landscape of human-computer interaction, the Gesture Controlled Virtual Mouse emerges as a pioneering interface, offering a transformative approach to navigating digital environments. This abstract provides an overview of the Hand Gesture Controlled Virtual Mouse, highlighting its functionality, applications, and implications. Harnessing the power of computer vision and machine learning, the Hand Gesture Controlled Virtual Mouse enables users to interact with digital content using intuitive hand movements. Equipped with sophisticated sensors and algorithms, this innovative interface accurately tracks hand gestures in real-time, translating them into cursor movements and commands on the screen. The applications of the Hand Gesture Controlled Virtual Mouse span across diverse domains, from gaming and education to healthcare and manufacturing. In gaming, it enhances immersion and gameplay experiences, while in education, it fosters interactive learning environments. In healthcare, it facilitates rehabilitation and therapeutic applications, and in manufacturing, it streamlines industrial automation processes. Despite its promise, challenges such as accuracy, comfort, and compatibility remain to be addressed. Furthermore, ethical considerations regarding privacy, bias, and inclusivity must be carefully navigated to ensure equitable access and fair treatment for all users.
| Shaurya Agrawal | GitHub | |||
| Siddhant Adhikari | Github | |||
| Pulkit Sharma | GitHub | |||
| Govindh E | Github |