Entropy-based Correction of Eye Tracking Data for Static Scenes
John S, Weitnauer E, Koesling H (2012)
In: ETRA 2012 ACM Symposium on Eye-Tracking Research \textbackslash& Applications. Morimoto CH, Istance H, Spencer SN, Association for Computing Machinery (Eds); ACM Digital Library. New York, USA: ACM: 297-300.
Konferenzbeitrag
| Veröffentlicht | Englisch
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Herausgeber*in
Morimoto, Carlos H.;
Istance, Howell;
Spencer, Stephen N.
herausgebende Körperschaft
Association for Computing Machinery
Einrichtung
Abstract / Bemerkung
In a typical head-mounted eye tracking system, any small slippage of the eye tracker headband on the participant\textbackslashtextquoteright}s head leads to a systematic error in the recorded gaze positions. While various approaches exist that reduce these errors at recording time, only few methods reduce the errors of a given tracking system after recording. In this paper we introduce a novel correction algorithm that can significantly reduce the drift in recorded gaze data for eye tracking experiments that use static stimuli. The algorithm is entropy-based and needs no prior knowledge about the stimuli shown or the tasks participants accomplish during the experiment.
Erscheinungsjahr
2012
Titel des Konferenzbandes
ETRA 2012 ACM Symposium on Eye-Tracking Research \textbackslash& Applications
Serien- oder Zeitschriftentitel
ACM Digital Library
Seite(n)
297-300
ISBN
978-1-4503-1221-9
Page URI
https://pub.uni-bielefeld.de/record/2713961
Zitieren
John S, Weitnauer E, Koesling H. Entropy-based Correction of Eye Tracking Data for Static Scenes. In: Morimoto CH, Istance H, Spencer SN, Association for Computing Machinery, eds. ETRA 2012 ACM Symposium on Eye-Tracking Research \textbackslash& Applications. ACM Digital Library. New York, USA: ACM; 2012: 297-300.
John, S., Weitnauer, E., & Koesling, H. (2012). Entropy-based Correction of Eye Tracking Data for Static Scenes. In C. H. Morimoto, H. Istance, S. N. Spencer, & Association for Computing Machinery (Eds.), ACM Digital Library. ETRA 2012 ACM Symposium on Eye-Tracking Research \textbackslash& Applications (pp. 297-300). New York, USA: ACM. doi:10.1145/2168556.2168620
John, Samuel, Weitnauer, Erik, and Koesling, Hendrik. 2012. “Entropy-based Correction of Eye Tracking Data for Static Scenes”. In ETRA 2012 ACM Symposium on Eye-Tracking Research \textbackslash& Applications, ed. Carlos H. Morimoto, Howell Istance, Stephen N. Spencer, and Association for Computing Machinery, 297-300. ACM Digital Library. New York, USA: ACM.
John, S., Weitnauer, E., and Koesling, H. (2012). “Entropy-based Correction of Eye Tracking Data for Static Scenes” in ETRA 2012 ACM Symposium on Eye-Tracking Research \textbackslash& Applications, Morimoto, C. H., Istance, H., Spencer, S. N., and Association for Computing Machinery eds. ACM Digital Library (New York, USA: ACM), 297-300.
John, S., Weitnauer, E., & Koesling, H., 2012. Entropy-based Correction of Eye Tracking Data for Static Scenes. In C. H. Morimoto, et al., eds. ETRA 2012 ACM Symposium on Eye-Tracking Research \textbackslash& Applications. ACM Digital Library. New York, USA: ACM, pp. 297-300.
S. John, E. Weitnauer, and H. Koesling, “Entropy-based Correction of Eye Tracking Data for Static Scenes”, ETRA 2012 ACM Symposium on Eye-Tracking Research \textbackslash& Applications, C.H. Morimoto, et al., eds., ACM Digital Library, New York, USA: ACM, 2012, pp.297-300.
John, S., Weitnauer, E., Koesling, H.: Entropy-based Correction of Eye Tracking Data for Static Scenes. In: Morimoto, C.H., Istance, H., Spencer, S.N., and Association for Computing Machinery (eds.) ETRA 2012 ACM Symposium on Eye-Tracking Research \textbackslash& Applications. ACM Digital Library. p. 297-300. ACM, New York, USA (2012).
John, Samuel, Weitnauer, Erik, and Koesling, Hendrik. “Entropy-based Correction of Eye Tracking Data for Static Scenes”. ETRA 2012 ACM Symposium on Eye-Tracking Research \textbackslash& Applications. Ed. Carlos H. Morimoto, Howell Istance, Stephen N. Spencer, and Association for Computing Machinery. New York, USA: ACM, 2012. ACM Digital Library. 297-300.
Google Scholar
ISBN Suche