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Eyeball Movement-Based Cursor Control for Physically Challenged People

EasyChair Preprint no. 7587

8 pagesDate: March 17, 2022


This study presents a novel human-computer interaction system based on eye movement. A mouse is a type of data input device that is commonly used in computer systems. However, we use our eyes instead of a mouse with this system, which gives a unique manner of controlling the computer via eyeball motions. The technical work behind this pupil identification system makes use of a Microcontroller device to operate the cursor of the computer, and the Eye Aspect Ratio approach is used in combination with OpenCV to identify the pupil. This system uses an IP cam (Internet Protocol camera) to track the user's eye movements and duplicates them as mouse cursor movements on the screen. It also detects the user's eye looking on an icon and converts it into a click operation on the screen. The major goal of this technology is to assist the user in controlling the cursor without the use of hands, and it is especially useful for those with disabilities. Eyeball movement, Mouse, PY Charm Software, IP Cam are all keywords (Internet Protocol camera)

Keyphrases: Camera, Cursor, eye, Open CV, Py Chram

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Dheeraj Narahari and Chandra Vamsi Ballani and Uday Kiran Divi and Kavin Raj and Krishnaveni Kommuri},
  title = {Eyeball Movement-Based Cursor Control for Physically Challenged People},
  howpublished = {EasyChair Preprint no. 7587},

  year = {EasyChair, 2022}}
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