A neuro-fuzzy approach to user attention recognition

Stylianos Asteriadis, Kostas Karpouzis, Stefanos Kollias

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review


User attention recognition in front of a monitor or a specific task is a crucial issue in many applications, ranging from e-learning to driving. Visual input is very important when extracting information regarding a user’s attention when recorded with a camera. However, intrusive equipment (special helmets, glasses equipped with cameras recording the eye movements, etc.) impose constraints on users spontaneity, especially when the target group consists of under aged users. In this paper, we propose a system for inferring user attention (state) in front of a computer monitor, only with the usage of a simple camera. The system can be used for real time applications and does not need calibration in terms of camera parameters. It can function under normal lighting conditions and needs no adaptation for each user.keywordshead poseeye gazefacial feature detectionuser attention estimation.
Original languageEnglish
Title of host publicationArtificial Neural Networks - ICANN 2008
Subtitle of host publication18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I
Number of pages10
ISBN (Electronic)9783540875369
ISBN (Print)9783540875352
Publication statusPublished - 2008
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science

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