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  EyeContext: Recognition of High-level Contextual Cues from Human Visual Behaviour

Bulling, A., Weichel, C., & Gellersen, H. (2013). EyeContext: Recognition of High-level Contextual Cues from Human Visual Behaviour. In S. Bødker, S. Brewster, P. Baudisch, M. Beaudouin-Lafon, & W. E. Mackay (Eds.), CHI 2013 (pp. 305-308). New York, NY: ACM. doi:10.1145/2470654.2470697.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0018-4C91-2 Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-A1D1-B
Genre: Konferenzbeitrag
Latex : {EyeContext}: {Recognition} of High-level Contextual Cues from Human Visual Behaviour

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Urheber

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 Urheber:
Bulling, Andreas1, Autor           
Weichel, Christian2, Autor
Gellersen, Hans2, Autor
Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

Inhalt

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Schlagwörter: -
 Zusammenfassung: Automatic annotation of life logging data is challenging. In this work we present EyeContext, a system to infer high-level contextual cues from human visual behaviour. We conduct a user study to record eye movements of four participants over a full day of their daily life, totalling 42.5 hours of eye movement data. Participants were asked to self-annotate four non-mutually exclusive cues: social (interacting with somebody vs. no interaction), cognitive (concentrated work vs. leisure), physical (physically active vs. not active), and spatial (inside vs. outside a building). We evaluate a proof-of-concept EyeContext system that combines encoding of eye movements into strings and a spectrum string kernel support vector machine (SVM) classifier. Using person-dependent training, we obtain a top performance of 85.3% precision (98.0% recall) for recognising social interactions. Our results demonstrate the large information content available in long-term human visual behaviour and opens up new venues for research on eye-based behavioural monitoring and life logging.

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Sprache(n): eng - English
 Datum: 20132013-04
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: BibTex Citekey: bulling13_chi
DOI: 10.1145/2470654.2470697
 Art des Abschluß: -

Veranstaltung

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Titel: The 31st Annual CHI Conference on Human Factors in Computing Systems
Veranstaltungsort: Paris, France
Start-/Enddatum: 2013-04-27 - 2013-05-02

Entscheidung

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Projektinformation

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Quelle 1

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Titel: CHI 2013
  Kurztitel : CHI 2013
  Untertitel : Changing Perspectives ; The 31st Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings
  Andere : SIGCHI Conference on Human Factors in Computing Systems
Genre der Quelle: Konferenzband
 Urheber:
Bødker, Susanne1, Herausgeber
Brewster, Steven1, Herausgeber
Baudisch, Patrick1, Herausgeber
Beaudouin-Lafon, Michel1, Herausgeber
Mackay, Wendy E.1, Herausgeber
Affiliations:
1 External Organizations, ou_persistent22            
Ort, Verlag, Ausgabe: New York, NY : ACM
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 305 - 308 Identifikator: ISBN: 978-1-4503-1899-0