Anzeige
Erschienen in:
2015 | OriginalPaper | Buchkapitel
Evaluation of Signal Processing Methods for Attention Assessment in Visual Content Interaction
verfasst von : Georgia Elafoudi, Vladimir Stankovic, Lina Stankovic, Deepti Pappusetti, Hari Kalva
Erschienen in: New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Eye movements and changes in pupil dilation are known to provide information about viewer’s attention and interaction with visual content. This paper evaluates different statistical and signal processing methods for autonomously analysing pupil dilation signals and extracting information about viewer’s attention when perceiving visual information. In particular, using a commercial video-based eye tracker to estimate pupil dilation and gaze fixation, we demonstrate that wavelet-based signal processing provides an effective tool for pupil dilation analysis and discuss the effect that different image content has on pupil dilation and viewer’s attention.