A neuro-fuzzy approach to user attention recognition

Stylianos Asteriadis; Kostas Karpouzis; Stefanos Kollias

doi:10.1007/978-3-540-87536-9_95

A neuro-fuzzy approach to user attention recognition

Stylianos Asteriadis, Kostas Karpouzis, Stefanos Kollias

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Abstract

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 language	English
Title of host publication	Artificial Neural Networks - ICANN 2008
Subtitle of host publication	18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I
Publisher	Springer
Pages	927-936
Number of pages	10
Volume	1
ISBN (Electronic)	9783540875369
ISBN (Print)	9783540875352
DOIs	https://doi.org/10.1007/978-3-540-87536-9_95
Publication status	Published - 2008
Externally published	Yes

Publication series

Series	Lecture Notes in Computer Science
Volume	5163
ISSN	0302-9743

Access to Document

10.1007/978-3-540-87536-9_95

Cite this

@inproceedings{a5ff1839744a457db58ebfe14318fd4f,

title = "A neuro-fuzzy approach to user attention recognition",

abstract = "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{\textquoteright}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.",

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address = "United States",

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A neuro-fuzzy approach to user attention recognition. / Asteriadis, Stylianos; Karpouzis, Kostas; Kollias, Stefanos.
Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I. Vol. 1 Springer, 2008. p. 927-936 (Lecture Notes in Computer Science, Vol. 5163).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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