Development Of Eye Gaze Estimation System Using Two Cameras

Eye Gaze is the direction where a person is looking at. It is suitable to be used as a type of natural Human Computer Interface (HCI). Current researches uses infrared or LED to locate the iris of the user to have better gaze estimation accuracy compared to researches that does not. Infrared and LED...

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Main Author:	Neoh , Yu Zun
Format:	Thesis
Language:	English
Published:	2017
Subjects:	TK1-9971 Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.usm.my/39588/1/NEOH_YU_ZUN_24_Pages.pdf
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id	my-usm-ep.39588
record_format	uketd_dc
spelling	my-usm-ep.395882019-04-12T05:25:07Z Development Of Eye Gaze Estimation System Using Two Cameras 2017 Neoh , Yu Zun TK1-9971 Electrical engineering. Electronics. Nuclear engineering Eye Gaze is the direction where a person is looking at. It is suitable to be used as a type of natural Human Computer Interface (HCI). Current researches uses infrared or LED to locate the iris of the user to have better gaze estimation accuracy compared to researches that does not. Infrared and LED are intrusive to human eyes and might cause damage to the cornea and the retina of the eye. This research suggests a non-intrusive approach to locate the iris of the user. By using two remote cameras to capture the images of the user, a better accuracy gaze estimation system can be achieved. The system uses Haar cascade algorithms to detect the face and eye regions. The iris detection uses Hough Circle Transform algorithm to locate the position of the iris, which is critical for the gaze estimation calculation. To enable the system to track the eye and the iris location of the user in real time, the system uses CAMshift (Continuously Adaptive Meanshift) to track the eye and iris of the user. The parameters of the eye and iris are then collected and are used to calculate the gaze direction of the user. The left and right camera achieves 70.00% and 74.67% accuracy respectively. When two cameras are used to estimate the gaze direction, 88.67% accuracy is achieved. This shows that by using two cameras, the accuracy of gaze estimation is improved. 2017 Thesis http://eprints.usm.my/39588/ http://eprints.usm.my/39588/1/NEOH_YU_ZUN_24_Pages.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK1-9971 Electrical engineering Electronics Nuclear engineering
spellingShingle	TK1-9971 Electrical engineering Electronics Nuclear engineering Neoh , Yu Zun Development Of Eye Gaze Estimation System Using Two Cameras
description	Eye Gaze is the direction where a person is looking at. It is suitable to be used as a type of natural Human Computer Interface (HCI). Current researches uses infrared or LED to locate the iris of the user to have better gaze estimation accuracy compared to researches that does not. Infrared and LED are intrusive to human eyes and might cause damage to the cornea and the retina of the eye. This research suggests a non-intrusive approach to locate the iris of the user. By using two remote cameras to capture the images of the user, a better accuracy gaze estimation system can be achieved. The system uses Haar cascade algorithms to detect the face and eye regions. The iris detection uses Hough Circle Transform algorithm to locate the position of the iris, which is critical for the gaze estimation calculation. To enable the system to track the eye and the iris location of the user in real time, the system uses CAMshift (Continuously Adaptive Meanshift) to track the eye and iris of the user. The parameters of the eye and iris are then collected and are used to calculate the gaze direction of the user. The left and right camera achieves 70.00% and 74.67% accuracy respectively. When two cameras are used to estimate the gaze direction, 88.67% accuracy is achieved. This shows that by using two cameras, the accuracy of gaze estimation is improved.
format	Thesis
qualification_level	Master's degree
author	Neoh , Yu Zun
author_facet	Neoh , Yu Zun
author_sort	Neoh , Yu Zun
title	Development Of Eye Gaze Estimation System Using Two Cameras
title_short	Development Of Eye Gaze Estimation System Using Two Cameras
title_full	Development Of Eye Gaze Estimation System Using Two Cameras
title_fullStr	Development Of Eye Gaze Estimation System Using Two Cameras
title_full_unstemmed	Development Of Eye Gaze Estimation System Using Two Cameras
title_sort	development of eye gaze estimation system using two cameras
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
publishDate	2017
url	http://eprints.usm.my/39588/1/NEOH_YU_ZUN_24_Pages.pdf
_version_	1747820762072350720

Development Of Eye Gaze Estimation System Using Two Cameras

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