EyeSee3D 2.0: Model-based Real-time Analysis of Mobile Eye-Tracking in Static and Dynamic Three-Dimensional Scenes

Pfeiffer T, Renner P, Pfeiffer-Leßmann N (2016)
In: Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications. New York, NY, USA: ACM Press: 189-196.

Download
OA 360.43 KB
Konferenzbeitrag | Veröffentlicht | Englisch
Abstract / Bemerkung
With the launch of ultra-portable systems, mobile eye tracking finally has the potential to become mainstream. While eye movements on their own can already be used to identify human activities, such as reading or walking, linking eye movements to objects in the environment provides even deeper insights into human cognitive processing. We present a model-based approach for the identification of fixated objects in three-dimensional environments. For evaluation, we compare the automatic labelling of fixations with those performed by human annotators. In addition to that, we show how the approach can be extended to support moving targets, such as individual limbs or faces of human interaction partners. The approach also scales to studies using multiple mobile eye-tracking systems in parallel. The developed system supports real-time attentive systems that make use of eye tracking as means for indirect or direct human-computer interaction as well as off-line analysis for basic research purposes and usability studies.
Erscheinungsjahr
Titel des Konferenzbandes
Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications
Seite
189-196
Konferenz
ETRA 2016
Konferenzort
Charleston, SC, USA
Konferenzdatum
2016-03-14 – 2016-03-17
PUB-ID

Zitieren

Pfeiffer T, Renner P, Pfeiffer-Leßmann N. EyeSee3D 2.0: Model-based Real-time Analysis of Mobile Eye-Tracking in Static and Dynamic Three-Dimensional Scenes. In: Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications. New York, NY, USA: ACM Press; 2016: 189-196.
Pfeiffer, T., Renner, P., & Pfeiffer-Leßmann, N. (2016). EyeSee3D 2.0: Model-based Real-time Analysis of Mobile Eye-Tracking in Static and Dynamic Three-Dimensional Scenes. Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, 189-196. doi:10.1145/2857491.2857532
Pfeiffer, T., Renner, P., and Pfeiffer-Leßmann, N. (2016). “EyeSee3D 2.0: Model-based Real-time Analysis of Mobile Eye-Tracking in Static and Dynamic Three-Dimensional Scenes” in Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (New York, NY, USA: ACM Press), 189-196.
Pfeiffer, T., Renner, P., & Pfeiffer-Leßmann, N., 2016. EyeSee3D 2.0: Model-based Real-time Analysis of Mobile Eye-Tracking in Static and Dynamic Three-Dimensional Scenes. In Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications. New York, NY, USA: ACM Press, pp. 189-196.
T. Pfeiffer, P. Renner, and N. Pfeiffer-Leßmann, “EyeSee3D 2.0: Model-based Real-time Analysis of Mobile Eye-Tracking in Static and Dynamic Three-Dimensional Scenes”, Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, New York, NY, USA: ACM Press, 2016, pp.189-196.
Pfeiffer, T., Renner, P., Pfeiffer-Leßmann, N.: EyeSee3D 2.0: Model-based Real-time Analysis of Mobile Eye-Tracking in Static and Dynamic Three-Dimensional Scenes. Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications. p. 189-196. ACM Press, New York, NY, USA (2016).
Pfeiffer, Thies, Renner, Patrick, and Pfeiffer-Leßmann, Nadine. “EyeSee3D 2.0: Model-based Real-time Analysis of Mobile Eye-Tracking in Static and Dynamic Three-Dimensional Scenes”. Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications. New York, NY, USA: ACM Press, 2016. 189-196.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Copyright Statement:
This Item is protected by copyright and/or related rights. [...]
Volltext(e)
Access Level
OA Open Access
Zuletzt Hochgeladen
2016-04-12T06:54:05Z

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Suchen in

Google Scholar
ISBN Suche