A Multimodal Eye Movement Dataset and a Multimodal Eye Movement Segmentation Analysis

Wolfgang Fuhl, Enkelejda Kasneci

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

4 Zitate (Scopus)

Abstract

We present a new dataset with annotated eye movements. The dataset consists of over 800,000 gaze points recorded during a car ride in the real world and in the simulator. In total, the eye movements of 19 subjects were annotated. In this dataset, there are several data sources including the eyelid closure, the pupil center, the optical vector, and a vector into the pupil center starting from the center of the eye corners. These different data sources are analyzed and evaluated individually as well as in combination with respect to their suitability for eye movement classification. These results will help developers of real-time systems and algorithms to find the best data sources for their application. Also, new algorithms can be trained and evaluated on this data set. Link to code and dataset https://atreus.informatik.uni-tuebingen.de/seafile/d/8e2ab8c3fdd444e1a135/?p=%2FA%20Multimodal%20Eye%20Movement%20Dataset%20and%20...mode=list

OriginalspracheEnglisch
TitelProceedings - ETRA 2021
UntertitelACM Symposium on Eye Tracking Research and Applications, Short Papers Proceedings
Redakteure/-innenStephen N. Spencer
Herausgeber (Verlag)Association for Computing Machinery
ISBN (elektronisch)9781450383455
DOIs
PublikationsstatusVeröffentlicht - 25 Mai 2021
Extern publiziertJa
Veranstaltung2021 ACM Symposium on Eye Tracking Research and Applications, ETRA 2021 - Virtual, Online, Großbritannien/Vereinigtes Königreich
Dauer: 24 Mai 202127 Mai 2021

Publikationsreihe

NameEye Tracking Research and Applications Symposium (ETRA)
BandPartF169257

Konferenz

Konferenz2021 ACM Symposium on Eye Tracking Research and Applications, ETRA 2021
Land/GebietGroßbritannien/Vereinigtes Königreich
OrtVirtual, Online
Zeitraum24/05/2127/05/21

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