Automated analysis of eye tracking movements.
OBJECTIVE
To present a quick algorithm to automatically analyze the raw data acquired by a photo-oculography (POG) system.


METHODS
We developed a simple algorithm for POG data analysis based on an extrapolation of missing values due to blinking and on exclusion of outliers using the robust mean and standard deviation.


RESULTS
POG curves of 4 children aged between 1.5 and 7 years are shown before and after automatic analysis. After applying our algorithm, the curves are much smoother.


CONCLUSIONS
Our algorithm allows a quick data analysis and will help to better interpret and analyze POG data.
Ruetsche
Adrian
A
Laboratory for Experimental Oculography, Kantonsspital, St. Gallen, Switzerland.
Baumann
Ann
A
Jiang
Xiaoyi
X
Mojon
Daniel S
DS
D000465:Algorithms; D001767:Blinking / Q000502:physiology; D002648:Child; D002675:Child, Preschool; D004585:Electrooculography / Q000379:methods*; D006801:Humans; D007223:Infant; D010781:Photography; D011698:Pursuit, Smooth / Q000502:physiology*