Current Volume 9
Abstract
Human–Computer Interaction (HCI) has evolved significantly with the advancement of Artificial Intelligence and Computer Vision technologies. Traditional input devices such as mouse and touchpads require physical interaction, which may not be suitable for individuals with physical disabilities or in touchless environments. This paper presents a real-time Virtual Cursor Control system using eye tracking and hand gestures. The system uses a standard webcam to detect iris movement for cursor navigation and hand gestures for performing mouse operations such as clicking, scrolling, and dragging. Eye tracking is implemented using MediaPipe FaceMesh, while hand gesture recognition is achieved using MediaPipe Hands. The system eliminates the need for specialized hardware, making it cost-effective and accessible. Experimental results demonstrate high accuracy (up to 90–95% for gesture recognition and ~85–90% for eye tracking) with minimal latency, making it suitable for real-time applications in accessibility systems, healthcare environments, and touchless computing.
Keywords
Human Computer Interaction, Eye Tracking, Hand Gesture Recognition, Virtual Cursor, MediaPipe, Computer Vision, Artificial Intelligence, Touchless Systems
Citations
IRE Journals:
Sariya Anjum, Prithvik S Gowda, Somashekhar P S, Uday Gowda N S, Yashas P Gowda "Virtual Cursor Control Using Eye Tracking and Hand Gestures" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 1595-1599
IEEE:
Sariya Anjum, Prithvik S Gowda, Somashekhar P S, Uday Gowda N S, Yashas P Gowda
"Virtual Cursor Control Using Eye Tracking and Hand Gestures" Iconic Research And Engineering Journals, 9(11)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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