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