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.
|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|
|Number of pages||10|
|Publication status||Published - 2008|
|Series||Lecture Notes in Computer Science|