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Ing. Stefania Cristina, Prof. Kenneth P. Camilleri | Mr. Louis Vella

Department of Systems and Control Engineering, University of Malta

in collaboration with the Ministry of Education,

funded by the Malta Council for Science and Technology (MCST)

EYE-COMMUNICATE

TOWARDS DEVELOPING

ROBUST AND COST-EFFECTIVE

EYE-GAZE TRACKING TECHNOLOGYINTRODUCTION

VIDEO-OCULOGRAPHY

INTRODUCTION

Point-of-regard (POR) estimation on a monitor screen from

lower quality images acquired by an integrated camera

inside a notebook computer.

Allowing natural head movement during tracking.

Lowering the costs to make the technology more

accessible.

NEW CHALLENGES

AND OBJECTIVES

INTRODUCTION

METHODS Segmentation of the iris region by a

trained Bayes’ classifier, trained to

classify between iris and non-iris

pixels.

Eye location represented by the

centroid of the segmented iris region

blob.

LOCALISING THE IRIS

REGION BY ITS DISTINCTIVE

PHOTOMETRIC PROPERTIES

METHODS

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LOCALISING THE IRIS

REGION BY ITS DISTINCTIVE

PHOTOMETRIC PROPERTIES

METHODS

CALIBRATION AND

VALIDATION

METHODS

CALIBRATION AND

VALIDATION

METHODS

Achieved a mean accuracy of

(1.46o, 0.71o) in visual

angle at a distance of

60cm.

Comparable with

commercially available eye-

gaze trackers.

Estimating the eye-gaze in 3-

dimensional space to allow a larger

range of eye and head movement.

Reduces calibration to a simple

detection of a frontal head pose in

the beginning.

HEAD-POSE FREE

3D GAZE ESTIMATION

METHODS

Achieved a mean eye-gaze accuracy of 3.25o in yaw and

3.74o in pitch.

Advantageous in scenarios which may not cater for

prolonged calibration duration but allow for the achieved

gaze estimation error, especially at distances that go

beyond the monitor screen where we tend to gaze at larger

portions of the scenery.

HEAD-POSE FREE

3D GAZE ESTIMATION

METHODS

Funded by the Malta Council for Science and Technology

(MCST) through the National Research & Innovation

Programme (2012) and in collaboration with the Education

Department, to develop a low-cost eye-gaze tracking

platform to assist individuals who may benefit from this

technology.

EYE-COMMUNICATE

ACKNOWLEDGEMENTS