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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
