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. Conclusion: Our algorithm allows a quick data analysis and will help to better interpret and analyze POG data.
Published in: Ophthalmologica, 10.1159/000071344, Karger
- Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
- This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.