This paper presents a new method for systematic errors compensation in modern eye-tracking devices. Systematic errors, together with repeatability errors, reduce the possible use of eye trackers for several applications such as moving into an indoor environment and enabling the user to indicate precisely the target only with the support of his/her eyes. The new method relies on an interactive procedure that enables the system to accurately estimate the systematic effect in few seconds and thus compensate it in a fast and accurate way. Results show that the uncertainty can be dramatically decreased for a low-cost device on a 17 inches screen from 100 pixels to approximately 15 pixels.

1.
D. H.
Yoo
,
J. H.
Kim
,
B. R.
Lee
and
M. J.
Chung
, “
Non-contact eye gaze tracking system by mapping of corneal reflections
,” in
Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition (2002)
(
IEEE
,
2002
), pp.
94
99
.
2.
Z.
Zhu
and
Q.
Ji
, “
Novel eye gaze tracking techniques under natural head movement
,”
IEEE Tran. on Biomed. Eng.
54
,
2246
2260
(
2007
).
3.
F.L.
Coutinho
and
C. H.
Morimoto
, “
A depth compensation method for cross-ratio based eye tracking
,” in
Proceedings of the Symposium on Eye-Tracking Research and Applications (2010)
(
ACM
,
2010
), pp.
137
140
.
4.
J. J.
Cerrolaza
,
A.
Villanuevay
,
M.
Villanueva
and
R.
Cabeza
, “
Error characterization and compensation in eye tracking systems
,” in
Proceedings of the Symposium on Eye-Tracking Research and Applications (2012)
(
ACM
,
2012
), pp.
205
208
.
5.
C. H.
Morimoto
and
M. R.M.
Mimica
, “
Eye gaze tracking techniques for interactive applications
,”
Computer Vision and Image Understanding, Sp. Is. on Eye Detection and Tracking
98
,
4
24
(
2005
).
6.
J. K.
Holmqvist
,
M.
Nyström
and
F.
Mulvey
, “
Eye tracker data quality: what it is and how to measure it
,” in
Proceedings of the Symposium on Eye-Tracking Research and Applications (2012)
(
ACM
,
2012
), pp.
45
52
.
7.
A.
Al-Rahayfeh
and
M.
Faezipour
, “
Eye tracking and head movement detection: a state-of-art survey
,”
IEEE J. Transl. Eng. Health Med.
1
, (
2013
).
8.
A.
Fornaser
,
M.
De Cecco
,
M.
Leuci
,
N.
Conci
,
M.
Daldoss
,
L.
Maule
,
F.
De Natale
and
M.
Da Lio
, “
Eye Trackers Uncertainty Analysis and Modelling
,” in
Proceedings of the 23rd Conference A.I.VE.LA.
. (
2015
).
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