Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7347
Main Title: Automated Analysis of Eye Tracking Movements
Author(s): Ruetsche, Adrian
Baumann, Ann
Jiang, Xiaoyi
Mojon, Daniel
Type: Article
Language Code: en
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. Conclusion: Our algorithm allows a quick data analysis and will help to better interpret and analyze POG data.
URI: https://depositonce.tu-berlin.de//handle/11303/8192
http://dx.doi.org/10.14279/depositonce-7347
Issue Date: 2003
Date Available: 18-Sep-2018
DDC Class: 610 Medizin und Gesundheit
Subject(s): Photo-oculography
visual pursuit
eye movement recording
data analysis
diagnostic techniques
License: http://rightsstatements.org/vocab/InC/1.0/
Journal Title: Ophthalmologica
Publisher: Karger
Publisher Place: Basel
Volume: 217
Issue: 5
Publisher DOI: 10.1159/000071344
Page Start: 320
Page End: 324
EISSN: 1423-0267
ISSN: 0030-3755
Notes: 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.
Appears in Collections:Fak. 4 Elektrotechnik und Informatik » Publications

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