Open AccessEyeball Movement based Cursor Control using Raspberry Pi and OpenCV
Author(s) -
J SreeDevi,
Martin Reddy,
B. Satyanarayana
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.g5187.059720
Subject(s) - cursor (databases) , computer science , computer vision , artificial intelligence , raspberry pi , eye movement , computer graphics (images) , embedded system , internet of things
In this study, a specific human computer interaction system using eyeball movement is presented. Conventionally, computer system uses mouse as one of the data input devices. But in this system, we use eyes instead of mouse which provides a unique way of operating the computer with the help of eyeball movements. The implementation work underlying this system for pupil identification uses raspberry pi board to control the cursor of the personal computer and moreover Eye Aspect Ratio technique is ascertained along with OpenCV to detect the pupil. This system tracks the eye movements of the user with an IP cam (Internet Protocol camera) and simulates the eye movements into mouse cursor movements on screen and also detects user’s eye staring on icon and will translate it into click operation on screen. The main aim of this system is to help the user to control the cursor without the use of hands and is of great use especially for the people with disability.