International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Machine Learning-Based Eye Gaze Estimation for Precise Cursor Control |
|---|---|
| ABSTRACT | Human–Computer Interaction (HCI) systems traditionally rely on input devices such as keyboards and mice; however, these devices are not accessible to individuals with physical disabilities or motor impairments. To overcome this limitation, this paper proposes an eye-controlled cursor system that enables users to operate a computer using only eye movements. The system utilizes a standard webcam to capture real-time eye images and detects iris position through image processing techniques such as edge and contour detection. Based on the detected eye movement, the cursor moves accordingly on the screen, allowing users to interact with the system without physical contact. In addition to cursor movement, eye blinking is used as an input mechanism to perform actions such as clicking, opening and closing applications, and scrolling through pages. The proposed system is implemented using Python and does not require any additional hardware, making it cost-effective and accessible. This approach provides an intuitive and efficient solution for physically challenged individuals, especially those without hand mobility, thereby enhancing independence, usability, and accessibility in human–computer interaction. |
| AUTHOR | PARTH BIDVE, ARYAN KATKAR, PRATHAMESH KAMTHE, DEEPAK RATHOD, PROF.AHIREKAR.S.Y Student, Dept. of Computer Technology, TSSM BSCOER, Narhe, India Professor, Department of Computer Technology, TSSM BSCOER, Narhe, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403095 |
| pdf/95_Machine Learning-Based Eye Gaze Estimation for Precise Cursor Control.pdf | |
| KEYWORDS | |
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