DocumentCode :
714358
Title :
Density based eye movement event detection algorithm (in English)
Author :
Deniz, Ozan ; Fal, Mehmetcan ; Acarturk, Cengiz
Author_Institution :
Bilissel Bilimler Programi, Orta Dogu Teknik Univ., Ankara, Turkey
fYear :
2015
fDate :
16-19 May 2015
Firstpage :
463
Lastpage :
466
Abstract :
Extracting eye movement events from raw data has become important upon the introduction of affordable eye trackers. The common approach in current algorithms is that they take into account velocity and position information separately. In this paper, we analyze the pros and cons of the current algorithms and introduce a novel algorithm based on the distribution of raw eye movement data.
Keywords :
gaze tracking; human computer interaction; density based eye movement event detection algorithm; eye movement event extraction; eye trackers; position information; raw eye movement data distribution; velocity information; Estimation; Event detection; Hidden Markov models; Kalman filters; Kernel; Smoothing methods; Tracking; Eye tracking; eye movement algorithms; eye movements; human compouter interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
Type :
conf
DOI :
10.1109/SIU.2015.7129859
Filename :
7129859
Link To Document :
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