title: Automated analysis of eye tracking movements.
abstract: 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.
authors.affiliation: Laboratory for Experimental Oculography, Kantonsspital, St. Gallen, Switzerland.
authors.forename: Adrian
authors.initials: A
authors.lastname: Ruetsche
authors.forename: Ann
authors.initials: A
authors.lastname: Baumann
authors.forename: Xiaoyi
authors.initials: X
authors.lastname: Jiang
authors.forename: Daniel S
authors.initials: DS
authors.lastname: Mojon
mesh_terms: 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*