Eyeball Movement based Cursor Control using Raspberry Pi and OpenCV
J. Sreedevi1, M. Shreya Reddy2, B. Satyanarayana3
1J. Sreedevi*, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, JNTUH, Hyderabad, India.
2M. Shreya Reddy, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, JNTUH, Hyderabad, India.
3Dr. B. Satyanarayana, Department of Mechanical Engineering, VNR VJIET, Hyderabad, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 30, 2020. | Manuscript published on May 10, 2020. | PP: 1033-1040 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5187059720/2020©BEIESP | DOI: 10.35940/ijitee.G5187.059720
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Eyeball movement, Mouse, Raspberry pi, IP Cam (Internet Protocol camera)
Scope of the Article: Internet of Things