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
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;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129859