A non-intrusive method for user focus of attention estimation in front of a computer monitor

Stylianos Asteriadis; Paraskevi Tzouveli; Kostas Karpouzis; Stefanos Kollias

doi:10.1109/AFGR.2008.4813330

A non-intrusive method for user focus of attention estimation in front of a computer monitor

Stylianos Asteriadis, Paraskevi Tzouveli, Kostas Karpouzis, Stefanos Kollias

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

Abstract

In this work, we present a system that estimates a user's focus of\nattention in front of a computer screen, using a web camera, based\non detection and tracking of the user's head position and eye movements.\nUtilizing machine learning concepts, the system gives real time feedback\non the user's attention, by combining information coming from eye\ngaze, head pose, and distance from the screen. The system is completely\nun-intrusive and no special hardware (such as infrared cameras or\nwearable devices) is needed. Furthermore, it adjusts to every user,\nnot necessitating initial calibration, and can work under real and\nunconstrained conditions in terms of lighting.

Original language	English
Title of host publication	2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
DOIs	https://doi.org/10.1109/AFGR.2008.4813330
Publication status	Published - 2008
Externally published	Yes

Access to Document

10.1109/AFGR.2008.4813330

http://www.mendeley.com/research/nonintrusive-method-user-focus-attention-estimation-front-computer-monitor

Cite this

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title = "A non-intrusive method for user focus of attention estimation in front of a computer monitor",

abstract = "In this work, we present a system that estimates a user's focus of\nattention in front of a computer screen, using a web camera, based\non detection and tracking of the user's head position and eye movements.\nUtilizing machine learning concepts, the system gives real time feedback\non the user's attention, by combining information coming from eye\ngaze, head pose, and distance from the screen. The system is completely\nun-intrusive and no special hardware (such as infrared cameras or\nwearable devices) is needed. Furthermore, it adjusts to every user,\nnot necessitating initial calibration, and can work under real and\nunconstrained conditions in terms of lighting.",

author = "Stylianos Asteriadis and Paraskevi Tzouveli and Kostas Karpouzis and Stefanos Kollias",

year = "2008",

doi = "10.1109/AFGR.2008.4813330",

language = "English",

isbn = "9781424421541",

booktitle = "2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008",

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T1 - A non-intrusive method for user focus of attention estimation in front of a computer monitor

AU - Asteriadis, Stylianos

AU - Tzouveli, Paraskevi

AU - Karpouzis, Kostas

AU - Kollias, Stefanos

PY - 2008

Y1 - 2008

N2 - In this work, we present a system that estimates a user's focus of\nattention in front of a computer screen, using a web camera, based\non detection and tracking of the user's head position and eye movements.\nUtilizing machine learning concepts, the system gives real time feedback\non the user's attention, by combining information coming from eye\ngaze, head pose, and distance from the screen. The system is completely\nun-intrusive and no special hardware (such as infrared cameras or\nwearable devices) is needed. Furthermore, it adjusts to every user,\nnot necessitating initial calibration, and can work under real and\nunconstrained conditions in terms of lighting.

AB - In this work, we present a system that estimates a user's focus of\nattention in front of a computer screen, using a web camera, based\non detection and tracking of the user's head position and eye movements.\nUtilizing machine learning concepts, the system gives real time feedback\non the user's attention, by combining information coming from eye\ngaze, head pose, and distance from the screen. The system is completely\nun-intrusive and no special hardware (such as infrared cameras or\nwearable devices) is needed. Furthermore, it adjusts to every user,\nnot necessitating initial calibration, and can work under real and\nunconstrained conditions in terms of lighting.

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DO - 10.1109/AFGR.2008.4813330

M3 - Chapter

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BT - 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008

ER -