Authors :
B. Jyothi; G. SMITHA; P. VENKATESHWAR; M. SRIVASTAVA
Volume/Issue :
Volume 8 - 2023, Issue 1 - January
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3Xa7OR6
DOI :
https://doi.org/10.5281/zenodo.7537987
Abstract :
Some people cannot operate computers
because of some diseases. The idea of eye control is very
useful not only for the future of natural input but
especially for the handicapped and disabled. In addition,
the implementation of the control system allows them to
control the computers without the help of another person.
This gadget is most useful for a person who can control
the cursor by eye movement. In this project, the camera is
used to capture the eye movement image. First, it detects
the center position of the pupil. Then a different change
in the position of the pupil causes a different movement of
the cursor. The implementation process for pupil
detection is done using the OpenCV library in python,
which is an open-source library for computer vision and
image processing. It can be used to process images and
videos to identify objects, faces, etc. In this project, we
instruct the mouse cursor to change its location based on
the movement of the eyeball, connect to the webcam, and
then extract each image from the webcam. and pass it to
OpenCV to detect the position of the eyeball. Once the
position of the eyeball is detected, we extract the x and y
coordinates of the eyeball from OPENCV and then
instruct the mouse to change its current position to the
given X and Y coordinates of the eyeball.
Some people cannot operate computers
because of some diseases. The idea of eye control is very
useful not only for the future of natural input but
especially for the handicapped and disabled. In addition,
the implementation of the control system allows them to
control the computers without the help of another person.
This gadget is most useful for a person who can control
the cursor by eye movement. In this project, the camera is
used to capture the eye movement image. First, it detects
the center position of the pupil. Then a different change
in the position of the pupil causes a different movement of
the cursor. The implementation process for pupil
detection is done using the OpenCV library in python,
which is an open-source library for computer vision and
image processing. It can be used to process images and
videos to identify objects, faces, etc. In this project, we
instruct the mouse cursor to change its location based on
the movement of the eyeball, connect to the webcam, and
then extract each image from the webcam. and pass it to
OpenCV to detect the position of the eyeball. Once the
position of the eyeball is detected, we extract the x and y
coordinates of the eyeball from OPENCV and then
instruct the mouse to change its current position to the
given X and Y coordinates of the eyeball.