Contextualized Behavior Patterns for Ambient Assisted Living

  • Paula Lago
  • Claudia Jiménez-Guarín
  • Claudia Roncancio
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9277)

Abstract

Human behavior learning plays an important role in ambient assisted living since it enables service personalization. Current work in human behavior learning do not consider the context under which a behavior occurs, which hides some behaviors that are frequent only under certain conditions. In this work, we present the notion of a contextualized behavior pattern, which describes a behavior pattern with the context in which it occurs (i.e. nap when raining) and propose an algorithm for finding these patterns in a data stream. This is our main contribution. These patterns help to better understand the routine of a user in a smart environment, as is evidenced when testing with a public dataset. This algorithm could be used to learn behaviors from users in an ambient assisted living environment in order to send alarms when behavior changes occur.

Keywords

Human behavior learning Sequential patterns Context analysis Personalization Data streams 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Paula Lago
    • 1
  • Claudia Jiménez-Guarín
    • 1
  • Claudia Roncancio
    • 2
  1. 1.Systems and Computing Engineering Department, School of EngineeringUniversidad de Los AndesBogotáColombia
  2. 2.LIGUniversity GrenobleGrenobleFrance

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