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Real Time Eye-Tracking Using Web Camera

Riddhi Chavda1 , Madhura Barve2 , Amit Doshi3 , Ruhina Karani4

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-4 , Page no. 64-67, Apr-2015

Online published on May 04, 2015

Copyright © Riddhi Chavda,Madhura Barve, Amit Doshi , Ruhina Karani . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Riddhi Chavda,Madhura Barve, Amit Doshi , Ruhina Karani, “Real Time Eye-Tracking Using Web Camera,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.4, pp.64-67, 2015.

MLA Style Citation: Riddhi Chavda,Madhura Barve, Amit Doshi , Ruhina Karani "Real Time Eye-Tracking Using Web Camera." International Journal of Computer Sciences and Engineering 3.4 (2015): 64-67.

APA Style Citation: Riddhi Chavda,Madhura Barve, Amit Doshi , Ruhina Karani, (2015). Real Time Eye-Tracking Using Web Camera. International Journal of Computer Sciences and Engineering, 3(4), 64-67.

BibTex Style Citation:
@article{Chavda_2015,
author = {Riddhi Chavda,Madhura Barve, Amit Doshi , Ruhina Karani},
title = {Real Time Eye-Tracking Using Web Camera},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2015},
volume = {3},
Issue = {4},
month = {4},
year = {2015},
issn = {2347-2693},
pages = {64-67},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=463},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=463
TI - Real Time Eye-Tracking Using Web Camera
T2 - International Journal of Computer Sciences and Engineering
AU - Riddhi Chavda,Madhura Barve, Amit Doshi , Ruhina Karani
PY - 2015
DA - 2015/05/04
PB - IJCSE, Indore, INDIA
SP - 64-67
IS - 4
VL - 3
SN - 2347-2693
ER -

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Abstract

Traditional input devices such as keyboard, mouse and joystick have been around for some while now. With the advancements in the field of Human Computer Interaction, eye tracking or iris tracking is the most promising field. It will fundamentally change the way we interact with computers. The main aim of this project is to develop a low cost application running in an open source environment and a widely used operating system Linux, to replace the traditional computer mouse with the human iris for cursor movement. The target audience majorly consists of handicapped people or people with physical impairment. The system designed aims at detecting the user’s eye movements for navigating the cursor, analyzing the nature and timing of blinks, which in turn is used as an input to the computer as a mouse click. The system consists of a good resolution Logitech C270 HD webcam, as opposed to the otherwise popular infrared cameras available in the market. The existing cameras used for tracking are highly expensive but our system is affordable and easy to use. In the project we have used the Fabian Timm image processing algorithm to achieve iris tracking. With future development, we believe our system has the potential to be used as a fully functional substitute for the mouse pointer.

Key-Words / Index Term

pattern recognition; Human Computer Interface; eye-tracking; Fabian Timm algorithm; blink detection

References

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