Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
 
 
DownloadE-Mail
 Lokale TagsFreigabegeschichteDetailsÜbersicht
  Detection of Smooth Pursuits Using Eye Movement Shape Features

Vidal, M., Bulling, A., & Gellersen, H. (2012). Detection of Smooth Pursuits Using Eye Movement Shape Features. In S. N. Spencer (Ed.), Proceedings ETRA 2012 (pp. 177-180). New York, NY: ACM. doi:10.1145/2168556.2168586.

Item is

 

einblenden: alle ausblenden: alle

Basisdaten

einblenden: ausblenden:
Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0017-A9B1-9 Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-4B7D-6
Genre: Konferenzbeitrag

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Vidal, Mélodie1, Autor
Bulling, Andreas1, Autor           
Gellersen, Hans1, Autor
Affiliations:
1External Organizations, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Smooth pursuit eye movements hold information about the health, activity and situation of people, but to date there has been no efficient method for their automated detection. In this work we present a method to tackle the problem, based on machine learning. At the core of our method is a novel set of shape features that capture the characteristic shape of smooth pursuit movements over time. The features individually represent incomplete information about smooth pursuits but are combined in a machine learning approach. In an evaluation with eye movements collected from 18 participants, we show that our method can detect smooth pursuit movements with an accuracy of up to 92%, depending on the size of the feature set used for their prediction. Our results have twofold significance. First, they demonstrate a method for smooth pursuit detection in mainstream eye tracking, and secondly they highlight the utility of machine learning for eye movement analysis.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 20122012-03
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1145/2168556.2168586
BibTex Citekey: vidal2012_etra
 Art des Abschluß: -

Veranstaltung

einblenden:
ausblenden:
Titel: Symposium on Eye Tracking Research and Applications
Veranstaltungsort: Santa Barbara, CA
Start-/Enddatum: 2012-03-28 - 2012-03-30

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Proceedings ETRA 2012
  Kurztitel : ETRA 2012
  Untertitel : Eye Tracking Research and Applications Symposium
Genre der Quelle: Konferenzband
 Urheber:
Spencer, Stephen N.1, Herausgeber
Affiliations:
1 External Organizations, ou_persistent22            
Ort, Verlag, Ausgabe: New York, NY : ACM
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 177 - 180 Identifikator: ISBN: 978-1-4503-1221-9