Evaluation of signal processing methods for attention assessment in visual content interaction

Georgia Elafoudi, Vladimir Stankovic, Lina Stankovic, Deepti Pappusetti, Hari Kalva

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

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.
Original languageEnglish
Title of host publicationNew Trends in Image Analysis and Processing - ICIAP 2015 Workshops
Subtitle of host publicationICIAP 2015 International Workshops, BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM, Genoa, Italy, September 7-8, 2015, Proceedings
EditorsVittorio Murino, Enrico Puppo, Diego Sona, Marco Cristani, Carlo Sansone
Place of PublicationCham
PublisherSpringer
Pages580-588
Number of pages9
Volume9281
ISBN (Print)9783319232218
DOIs
Publication statusPublished - 21 Aug 2015
EventICIAP QoEM Workshop - Italy, Genoa, Italy
Duration: 8 Sep 20158 Sep 2015

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume9281
ISSN (Print)0302-9743

Workshop

WorkshopICIAP QoEM Workshop
CountryItaly
CityGenoa
Period8/09/158/09/15

Keywords

  • pattern recognition
  • artificial intelligence
  • computers and society

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