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Summary: Learning Accurate Temporal Relations from
User Actions in Intelligent Environments
Asier Aztiria1
Juan C. Augusto2
Alberto Izaguirre1
and Diane Cook3
1
University of Mondragon, Mondragon, Spain
{aaztiria;aizaguirre}@eps.mondragon.edu
2
University of Ulster, Jordanstown, United Kigndom jc.augusto@ulster.ac.uk
3
Washington State University, Pullman, Washington, U.S.A cook@eecs.wsu.edu
Summary. Ambient Intelligence environments depend on their capability to learn
user's preferences and typical behavior. In this paper we present an algorithm that
taking as starting point information collected by sensors finds out accurate temporal
relations among actions carried out by the user.
1 Introduction
Ambient Intelligence (AmI) [2] [8] [14] can be understood as `a digital envi-
ronment that proactively, but sensibly, supports people in their daily lives' [3].
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