Vision-Based Eye-Gaze Tracking for Human Computer Interface
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electronics seminars
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26-12-2009, 11:00 AM



.pdf   Vision-Based Eye-Gaze Tracking for Human Computer Interface.pdf (Size: 955.21 KB / Downloads: 508)
Abstract
Eye-gaze is an input mode which has the potential of an efficient computer interface. Eye movement has been the focus of research in this area. Non-intrusive eyegaze tracking that allows slight head movement is addressed in this paper. A small 2D mark is employed as a reference to compensate for this movement. The iris center has been chosen for purposes of measuring eye movement. The gaze point is estimated after acquiring the eye movement data. Preliminary experimental results are given through a screen pointing application.
Introduction
Human-computer interaction has become an increasingly important part of our daily lives. The movement of userâ„¢s eyes can provide a convenient, natural and high-bandwidth source of input. By tracking the direction of gaze of the user, the bandwidth of communication from the user to the computer can be increased by using the information about what the user is looking at, and even designing objects specially intended for the user to look at. A variety of eye-gaze (eye-movement) tracking techniques have been reported in the literature .A short list includes Electra-Oculography ,Limbus, Pupil and Eyelid Tracking Contact Lens Method, Cornea1 and Pupil Reflection Relationship Purkinje Image Tracking, Artificial Neural Networks [lo] and Head Movement Measurement ,Computer vision is intrinsically non-intrusive, and does not require any overly expensive equipment. Nonobtrusive sensing technology - such as video cameras and microphones - has received special attention in this regard. This seminar and presentation draws on computer vision and image processing techniques for measuring eye-gaze
for more read cs.tufts.edu/~jacob/papers/ecem.pdf
Use Search at http://topicideas.net/search.php wisely To Get Information About Project Topic and Seminar ideas with report/source code along pdf and ppt presenaion
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vijjib27@gmail.com
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#2
28-01-2011, 08:30 PM

hi haritha garu
iam vijji
i need full details abt eye gaze topic
cn u pls mail me
its urgent
i am gng to give seminar and presentation on this topic in this week
pls send content
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seminar surveyer
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29-01-2011, 10:14 AM


to get information about the topic eye gaze human computer interface full report,ppt, related topic refer the link bellow

topicideashow-to-eye-gaze-human-computer-interface

topicideashow-to-vision-based-eye-gaze-tracking-for-human-computer-interface
topicideashow-to-eye-gaze-communication-system-full-report

topicideashow-to-eye-gaze-communication-system-full-report?page=2

topicideashow-to-eye-gaze-communication-system-full-report?page=3
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anjanasharma
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27-09-2012, 01:33 PM

i wnt to do research on eye gaze estimation by proposing some model or code with matlab.pls help its urgent as i hve 2 submit synopsis within few days.pls snd contents or some coding for my understanding.
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03-10-2012, 11:09 AM

Vision-Based Eye-Gaze Tracking for Human Computer Interface


.pdf   Vision-Based Eye-Gaze.pdf (Size: 955.21 KB / Downloads: 23)

Abstract

Eye-gaze is an input mode which has the potential of an
efficient computer interface. Eye movement has been
the focus of research in this area. Non-intrusive eyegaze
tracking that allows slight head movement is addressed
in this paper. A small 2D mark is employed as
a reference to compensate for this movement. The iris
center has been chosen for purposes of measuring eye
movement. The gaze point is estimated after acquiring
the eye movement data. Preliminary experimental results
are given through a screen pointing application.

Introduction

Human-computer interaction has become an increasingly
important part of our daily lives. The movement
of user’s eyes can provide a convenient, natural and
high-bandwidth source of input. By tracking the direction
of gaze of the user, the bandwidth of communication
from the user to the computer can be increased by
using the information about what the user is looking
at, and even designing objects specially intended for
the user to look at.
A variety of eye-gaze (eye-movement) tracking
techniques have been reported in the literature [l].
A short list includes Electra-Oculography [2], Limbus,
Pupil and Eyelid Tracking [3, 4, 5, 6, 7, 8, 91, Contact
Lens Method, Cornea1 and Pupil Reflection Relationship
[5, 4, 81, Purkinje Image Tracking, Artificial Neural
Networks .

Tracking of Eye Movement

The location of face and eye should be known for tracking
eye movements. We assume this location information
has already been obtained through extant techniques.
Exact eye movements can be measured by
special techniques. This investigation concentrates on
tracking eye movement itself. The primary goal of this
paper is to detect the exact eye position. Two algorithms
have been proposed for iris center detection:
the Longest Line Scanning and Occluded Circular Edge
Matching algorithms. The emphasis is on eye movement
in this paper, not on face and eye location.
Rough eye position is not sufficient for tracking eyegaze
accurately. Measuring the direction of visual attention
of the eyes requires more precise data from eye
image.

Estimation of Gazing Point

As previous work has reported, gaze estimation with free
head movement is very difficult to deal with. The focus is
on estimating the orientation of the eyes with slight head
movement. It is very important to estimate it from the
image features and values measured at the stage of eye
movement tracking. The direction of eye-gaze, including
the head orientation is considered in this investigation. A
geometric model incorporating a reference has been devised.
The geometry consisting of subject’s face, camera,
and computer screen has been explored so as to understand
eye-gaze in this environment. Finally, a couple of estimation
methods have been proposed.

Conclusion

Non-intrusive vision-based eye-gaze tracking methods involving
eye movement tracking (not the eye location, but
the iris center tracking) and gaze estimation have been investigated
in this paper. Practical feasibility of the techniques
has been demonstrated by using them as one type of
computer interface (the substitute for a pointing device).
The subject is allowed to move slightly, in a natural way.
The eye-gaze is computed by finding correspondences between
points in a model of face and points in the camera
image.
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