Gesture-Driven Virtual Mouse: Empowering Accessibility through Hand Movements
Anitha Julian, Danush Suresh, R. Ramyadevi · 2024
The mouse has been a vital tool for human-computer interaction, with wired, wireless, and Bluetooth variations requiring power to connect a dongle to a PC. The proposed work uses the latest technology in computer vision and machine learning to recognize hand movements without needing extra equipment. Compatible with CNN models through mediapipe implementation, it enables various actions via various hand movements, all on a single computer. Utilizing a camera as the input device, the system relies on Python and OpenCV. The camera’s output is displayed on the system’s screen, allowing users to fine-tune their interactions.