Abstract
In this paper, we present our work towards estimating the engagement of a person to the displayed information of a computer monitor. Deciding whether a user is attentive or not, and frustrated or not, helps adapting the displayed information of a computer in special environments, such as e-learning. The aim of the current work is the development of a method that can work user-independently, without necessitating special lighting conditions and with only requirements in terms of hardware, a computer and a web-camera. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Asteriadis, S., Karpouzis, K., & Kollias, S. (2009). Feature extraction and selection for inferring user engagement in an hci environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5610 LNCS, pp. 22–29). https://doi.org/10.1007/978-3-642-02574-7_3
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