NDLI: A general framework for selecting biometric features for automatic user profiling

Content Provider	IEEE Xplore Digital Library
Author	Lanitis, A. Tsapatsoulis, N.
Copyright Year	2010
Description	Author affiliation: Dept. of Multimedia and Graphic Arts, Cyprus University of Technology (Lanitis, A.) \|\| Dept. of Communication and Internet Studies, Cyprus University of Technology (Tsapatsoulis, N.)
Abstract	In automatic user profiling a number of features related to the user of a system are extracted in an attempt to deduct key information that can be used for adapting the interface and content of computer applications. In this context the identity, emotion, age and head orientation can provide important cues that enable efficient customization of the content of an application. In order to develop automated user profiling applications facial features are often used for providing the required information related to the user. A key issue that arises is the applicability of different facial features for different user profiling tasks. In this paper we present a generalized framework that can be used for quantifying the invariance of different facial features for different classification tasks assisting in that way the implementation of efficient adaptive user profiling in computer applications. Preliminary experimental results demonstrate the potential of the proposed method in selecting the most useful features for different tasks.
Starting Page	50
Ending Page	56
File Size	732818
Page Count	7
File Format	PDF
ISBN	9781424486038
e-ISBN	9781424486021
e-ISBN	9781424486014
DOI	10.1109/SMAP.2010.5706843
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-09
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Databases Shape Aging Feature extraction Face Dispersion
Content Type	Text
Resource Type	Article

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