Hand and Eye Gesture Recognition for Cursor Control

Hand and Eye Gesture Recognition for Cursor Control

Ruturaj Bansode [1], Toufik Shaikh [2], Vinay Bhajibhakare [3] ,Alok Awati[4], Shubham Asbe [5],Prof.M.D.Katkar[6].
1Department of Computer Engineering,Vidya Vikas Pratishthan Institute Of Engineering And Technology,Solapur.

2Department of Computer Engineering,Vidya Vikas Pratishthan Institute Of Engineering And Technology,Solapur.

3Department of Computer Engineering,Vidya Vikas Pratishthan Institute Of Engineering And Technology,Solapur.

4Department of Computer Engineering,Vidya Vikas Pratishthan Institute Of Engineering And Technology,Solapur.

5Department of Computer Engineering,Vidya Vikas Pratishthan Institute Of Engineering And Technology,Solapur.

6Department of Computer Engineering,Vidya Vikas Pratishthan Institute Of Engineering And Technology,Solapur.

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Abstract - This project explores a novel approach to cursor control through the integration of hand and eye gestures, eliminating the need for a traditional mouse. By combining hand gestures—captured through computer vision—with eye-tracking technology, users can achieve both broad and precise control. Eye gestures enable fast and accurate cursor positioning, while hand movements perform actions like clicks, drags, and other commands. This dual- modality system offers an accessible interaction model, especially benefiting users with disabilities. The project leverages advanced computer vision and eye- tracking software to deliver an intuitive interface designed to enhance user accessibility and interaction.

Keywords- Accessibility, Gesture Recognition, Eye- Tracking, Human-Computer Interaction, Computer Vision, Assistive Technology, Cursor Control, Multimodal Interaction, Inclusive Design.