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Artif Intell Rev (2010) 34:3551 DOI 10.1007/s10462-010-9160-3
 

Summary: Artif Intell Rev (2010) 34:3551
DOI 10.1007/s10462-010-9160-3
Learning patterns in ambient intelligence environments:
a survey
Asier Aztiria Alberto Izaguirre Juan Carlos Augusto
Published online: 23 May 2010
Springer Science+Business Media B.V. 2010
Abstract It is essential for environments that aim at helping people in their daily life that
they have some sort of Ambient Intelligence. Learning the preferences and habits of users
then becomes an important step in allowing a system to provide such personalized services.
Thus far, the exploration of these issues by the scientific community has not been extensive,
but interest in the area is growing. Ambient Intelligence environments have special charac-
teristics that have to be taken into account during the learning process. We identify these
characteristics and use them to highlight the strengths and weaknesses of developments so
far, providing direction to encourage further development in this specific area of Ambient
Intelligence.
Keywords Ambient intelligence Intelligent environments Pattern learning
Machine learning techniques
1 Introduction
Ubiquitous Computing, a term introduced by Mark Weiser (1991), refers to a paradigm where

  

Source: Augusto, Juan Carlos - School of Computing and Mathematics, University of Ulster at Jordanstown

 

Collections: Computer Technologies and Information Sciences