• J.Sriram
• G.Murugan
• S.Harini
• S.Jeyashree

Developing a virtual mouse system that integrates hand gesture recognition and eye tracking technology, this initiative aims to revolutionize digital interaction. By harnessing the power of the MediaPipe library for hand gesture recognition in Python and incorporating eye tracking capabilities, users can control the cursor through intuitive hand gestures and eye movements. This system offers a seamless experience with digital interfaces, empowering users to execute actions like clicking, scrolling, and dragging effortlessly. The precision and efficiency of these control mechanisms enhance accessibility and usability, particularly benefiting individuals with mobility impairments. With its intuitive design and hands-free operation, the virtual mouse system represents a versatile and user-centric approach to digital interaction. Overall, this innovative integration of hand gesture recognition and eye tracking technology promises an intuitive, efficient, and immersive computing experience for diverse user demographics.

ARTIFICIAL INTELLIGENCE, HAND GESTURES, EYE TRACKING, MOUSE MAPPING, VIRTUAL CURSOR

"Virtual Mouse: Fusion of Hand Gestures and Eye Tracking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.q154-q158, April-2024, Available :http://www.jetir.org/papers/JETIR2404H22.pdf

"Virtual Mouse: Fusion of Hand Gestures and Eye Tracking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppq154-q158, April-2024, Available at : http://www.jetir.org/papers/JETIR2404H22.pdf